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Role of Scopus in research1

CHAPTER 1: INTRODUCTION
1.1

Background of the study


Bibliometrics database are used by researchers, authors, book writers,

information gatherer and others for their usage as they require. These days there are
several famous bibliometrics database(s) are used for different reasons. Most famous
of the databases are ISI Thomson Reuters, REPEC, Scopus, GS (Google Scholar) and
the WOS (Web of Science). SciVerse Scopus is a commercialized and a new database
and was in effect from November, 2004. It claims that they have got largest peerreviewed research literature for abstract and citations. They also claim that they have
more than 5000 publishers with more than 18000 titles with 42.5 million records.
The databases WOS and Scopus offer strong instruments to measure science
bibliometrics variables at the country level(Eric et. al. 2009).
For a citation count at Google Scholar is counted it will always be less than what it
seems to be appeared in the results of GS. By taking a paper as an example; Google
Scholar: the pros and the cons, which was published in Online Information Review
in 2005. GS suggest that it has cited more than 57 times as it seems to be a decent
update for the authors and the publisher but it occurs to be a bad news for them as GS
says it can show 53 and actually the number is 55 not 57(Jasco, 2008).
Either index of Thomson Reuters or of Scopus is used for the counts of citation they
occurred to have similar results for the count. If a fresh citations enriched database is
compared with Thomson Reuters indexes the fresh must be observed as an
enhancement than a standby to it. Surely, the utility ofcitationenricheddatabases will
develop as the amount of contentedrises;coverage is not the one standard for defining
the usefulness of bibliographic databases for executing citation analysis. Eminence of

Role of Scopus in research2


statistics duly considered as well as the database operations services for browsing,
searching and investigating data. The procedure of citation is a compound one and
evaluating study performance by citation analysis is a susceptible way(Christoph &
Daniel, 2012-13).
There are facilities for bibliometrics, Cite-Seer which mainly concentrate on the
research in the field of information science, Repec, which contest that it covers
research papers in economics, and SMEAL-Search, which catalogs academic business
papers, they are all used for citation indexing, which marks in a cost reduction for
citation indexing(Christoph & Daniel, 2012-13).
Repec is not only use for the archiving and the research papers in Economics, Repec
also provides a ranking of the authors based on their workings like research papers
and articles, books and others. Repec also provide a web search of the authors. Repec
ensures the ranking through the H-index, citations and the other workings of the
authors. Repec is a bibliometrics database.
Authors have compared bibliometrics database Scopus with ISI Thomson, GS
(Google Scholar) and WOS (Web of science) on the basis of their coverage of
journals, literature, SNIP factors and RAM (SNIP and RAM are defined in the
literature review). In this study the bibliometrics database Scopus is compared taking
the citations of authors, H-index of authors and web search of authors with that of
Repec.
Consecutive publications (book series, trade journals, conference proceedings and
journals) having ISSN (International Standard Serial Numbers) allocated to it are
catalogue by SciVerse Scopus. Some of the exclusion is for the conference
proceedings, as it can be taken through other routes rather by having a ISSN and
published in a serial publication. From the literature available it is found that making

Role of Scopus in research3


new bibliometric variables is not an easy task, if one wants to study and compares
bibliometric variables the researcher should comprehend on the available bibliometric
variables.
In SciVerse Scopus the papers are mainly distinguished into one of the four major wide
subject clusters (Social science and humanities, physical science, life science and health
sciences)and they are further classified in more 27 key subject groups/areas and more
than 300 petty subject groups/areas. In SciVerse Scopus a paper may belong to more than
one subject group/area.
Scopus* has been selected by them taken in consideration its broader coverage of
literature which includes journal titles from more than hundred (100) countries and
also for its advanced features, altogether these advantages enable the OECD database
to perform advanced refined statistical examination to guide associate nations.
Mr. Hiroyuki T, Economic Analysis and Statistics Division,Principal
Administrator, Directorate for Science, Technology and Industry, OECD
SciVerse Scopus have used by many people and they have commented on different
places about the usefulness and coverage of Scopus, its software(s) and database.
Scopus is a very decent appellation as for the bibliometrics databases. In this study,
SciVerse Scopus is taken in detail in as much aspect as possible to get information
about the database. This study shows the different features of Scopus.

1.2

Hypothesis of the study


Following is the hypothesis devised for this study in order to analyze the

relation between the variables of Repec and Scopus, taking the rankings of top 100
authors (Table 4) as the criterion of arrangement of the observations of the data.

Role of Scopus in research4


H1: There is a co-integration between H-index at Repec and H-index at Scopus.
H2: There is a co-integration between citations at Repec and citations at Scopus.
H3: There is a co-integration between Web search at Repec and Web search at Scopus.

1.3

Structure of the study


This thesis is organized into the following chapters. The first chapter discusses

the background and introduction part of the thesis. The second chapter explains the
literature review of foreign exchange and current account in detail. The third chapter
discusses the research methodology part of the research. The fourth chapter however
includes the results and analysis section of the study. And the fifth chapter concludes
the research.

Role of Scopus in research5

CHAPTER 2: LITERATURE REVIEW


2.1

BIBLIOMETRIC DATABASES
Bibliometric databases are used for so many functions like, describing and

assessing top notch research that is essential for the methodical, scientific and logical
patterns. Rankings exercises are provided for the purpose of stay, and to assess and
ascertain the research work and the quality of the academic journals of an individual and
the journal is necessary. (LOKMAN & ROGERS, 2012-13) These day(s) major steps
taken on the basis of the research publication and exposure like, to hire, to expel, stay
tenure and decisions to be taken on promotions. If some suitable and useful information
is not accessible, to find the quality of an academic research paper the publishing journal
is used as proxy frequently.
To give authors, researchers, book writers, librarians and others the information on
research presented at SciVerse Scopus, Scopus try as much as possible for it. More than
30 million records in SciVerse Scopus have abstracts. Some of the proceedings as by the
publisher are made obtainable till the year 1850.For the search of the results of the users
for searching abstracts, across title, searching and the keywords the availability of
abstracts ensure the results to be find as all relevant. From all the index terms 80% of the
index included in SciVerse Scopus were manually entered by SciVerse Scopus. Thesauri
that is owned by Elsevier or licensed and are added for the improvement of search evoke.
From the below mentioned vocabularies a panel of expert indicators assigns index
expressions to proceedings according to it(SciVerse Scopus, 2011).
Ei thesaurus (engineering, technology, physical sciences), Emtree medical terms (life
sciences & health sciences), MeSH (life sciences & health sciences), Geobase Subject

Role of Scopus in research6


Index (geology, geography, earth and environmental sciences), FLX terms, WTA terms
(textile sciences), Regional Index (geology, geography, earth and environmental sciences)
and Species Index (biology, life sciences)(SciVerse Scopus, 2011).
SciVerse Scopus has no bounds for the no of indexes to be sum up to records, but for
Emtree and MeSH (both terms are added regardless of their availability anywhere), and
for the sake of avoiding irrelevant results only those indexes which are related directly
with the topic are showed and made searchable on SciVerse Scopus(SciVerse Scopus,
2011).
Below are some of the comments on Scopus to clarify the use of Scopus in the field of
research;
Scopus* has been selected by them taken in consideration its broader coverage of
literature which includes journal titles from more than hundred (100) countries and
also for its advanced features, altogether these advantages enable the OECD database
to perform advanced refined statistical examination to guide associate nations
Mr. Hiroyuki T,Economic Analysis and Statistics Division,Principal
Administrator, Directorate for Science, Technology and Industry, OECD
As per their findings they believe that Scopus brings up strong date, to stabilize
rankings some enhancements is needed in combination with our methodology, in order to
make more effectiveness in tracking performance on yearly division. They will also result
for comparative international university quality in an enhanced, robust and balanced
measure.
Ben Sowter, QS World University Rankings.
Highlighting on the view that, Scopus covers more journals than ISI database but the
time span Scopus is related to is much shorter than of ISI., and If a paper has higher

Role of Scopus in research7


no. of references than the possibility of citation for the paper is also much higher
therefore one should regularize in sense of no. of the references in citing paper, also
the field of citation performance can be taken into accountability on studying by one
paper to another paper basis(Loet & Opthof,2012-13).
To distinguish researchers in an improved nuanced way Scopus can help out as
compared to WOS for either reference calculation or for H-index as the basic function
of it. Scopus in addition produces quite distinctive maps of reference systems of
distinctive researchers than the aforementioned produced by Web of Science.
(Lokeman& Rogers, 2012-13), as the study of (Lokeman &Rogers, 2012-13) inquiry
infers that the Scopus could be utilized as for assessment in (Human Computer
Interaction) and a solitary information resource for the research based on denoting and
reference, in particular if references in gathering incidents are looked for and that h
scores ought to be manually ascertained rather than relying on structure counts.
Essential purposes obsolete predominance of reference examination link: the
technique in examining for the consistency and soundness, sustaining, or asking
friendly judgments based on the review recognizing the research yield of an analyst's
effectiveness, explicitly in the territory whereoverarching sagacious correspondence
channels are taken into consideration for the journal piece of writing and assembling
paper, The principal thought or suspicion behind reference analyze is that enticing
workings or analysts are referred to more normally than exchanges. With this
understanding, within their more fantastic test spaces references replicate the
comparative effectiveness and the main use of a work, inventor, office, or journal's
printings (Lokeman &Rogers, 2012-13).
Scopus handles altogether upper h-indexes of research work for these researchers than
WOS (Web of Science) do. The expansion of WOS (Web of Science) reference

Role of Scopus in research8


information to that of Scopus mentioned previously practically does not change the hindexes of HCI (Human computer Interaction) analysts. Today, there are numerous
different databases to browse as origins of reference information. A test is to
methodically investigate the proposed information origins and to figure out which
one(s) are preferred for what inquire about spaces. (Lokeman& Rogers, 2012-13)This
is particularly critical to underline on account of recognizing reference checks and
ascertaining h scores utilizing information from two or more databases could be
actually work-serious and, as a rule, unnecessary. Still, the utilization of proper
information origins and approaches is essential to create dependable and suitable
effects and make faultless or supplementary educated appraisals based on research. As
far asitsabout the WOS (Web of Science), needed to upgrade its writing scope of HCI
(Human Computer Interaction)if it were depending on; the investigation done by the
picks out some suggestions that it files the aforementioned heightened effect diaries
and meeting incidents recognized in this inquiry.
In consideration ofconference literature accessible in SciVerse Scopus for providing a
more precise indication of the productivity, conference content before the namegiven
to them are included but are not being visible either in regular list or list of further
conference proceedings, as SciVerse Scopus communicate through the no. of
conference proceedings, about them(SciVerse Scopus, 2011).
To include books is not a policy for SciVerse Scopus presently, but for social sciences
and humanities some of the books are made available as in these field book matters
mostly(SciVerse Scups, 2011).

Role of Scopus in research9

2.2

BIBLIOMETRIC ASPECTS (DATABASE AND OTHERS)


The Web of Science furnishes seamless access to flow and review

multidisciplinary qualified information from roughly 8,700 of the most prestigious,


heightened effect research records in the earth. [THOMSON SCIENTIFIC,
NODATE] (Judit, 2008, Loet & Ophlet, 2012-13).
As from the sample taken by (Judit, 2008, Loet & Ophlet, 2012-13) of 22 members
which have been cited in 7439 different documents published in the time span of
1996-2007, from these WOS covers 54% and Scopus covers 93%, the main reason
was found that Scups covers significantly more citing conferences than WOS 774 in
comparison of 340 respectively and due to its wider coverage of conference
proceeding, It is found that in Scups it has considerably higher no. of unique citations
from conference proceedings rather than the journals(Judit, 2008, Loet & Ophlet,
2012-13).
Impact factors undergo two of the major problems: Firstly, in the field of science the
behavior of citations varies and it may lead to methodical dissimilarities and secondly,
to find the significance of the difference there is no statistical tool is provided. The
SNIP (Scopus normalized impact predication) by Scopus was currently introduced as
an indicator of Scopus try to resolve one the indicated problems, but many of the
decision for normalization are concerned therefore being unfeasible for it in order to
test the worth.(LOET & OPHLET, 2012-13). To test significance in relation with
other sets like other scientific journals the idea can be alter and intricate into weighted
impact of citations for normalizing contextually, to resolve the difficulty of the field
specificity of behavior of citation at the level of article this method has been drawn,
and it also solves the difficulty in need of statistical tools for match up to the journals

Role of Scopus in research10


impact. As from the results, the simple and more elegant way should be considered
rather than going for the SNIP (Scopus normalized impact predictors) indicator.
For a more comprehensive detail of scholarly impact of author(s) tools of Scopus and
Google Scholar in addition of Web of Science tools is needed. For the tools to collect
data of scholarly impact of authors WOS, Scopus and GS took 100, 200, 3000 hours
respectively(LOKMAN & YANG, 2012-13).
As compared to Scopus with 0.7% and WOS with 1.14% Google Scholar
significantly gives more than improvedexposure for the other than English language
literature , from above point it can be concluded that Google Scholar is crucial for
reporting an individuals international work impact(LOKMAN & YANG, 2012-13).
The previous study (Loet & Ophlet, 2012-13) of the author showed that Scopus has
significantly more conference proceedings than WOS and this author suggest that GS
has even more conference proceedings than Scopus, as Google Scholar is concerned
for its coverage of conferences either for international or other than English material,
it stand out this performance. If a person is using WOS for scholarly relationship
between SLIS (say pure sciences and literature) and other fields it will be a better
decision to include the results of Scopus and GS with it. Unique titles were evidenced
that cite SLIS literature, WOS while being a crucial Bibliometric database but it may
occur as necessary to include in the finding an author or title locating of Scopus, and
by extension, journals, departments, and countries, until the SLIS faculty members are
concerned, as a source of addition using Scopus citation counts will have a significant
effect on ratings.
From the period of 1996-2005 Scopus gives more comprehensive than WOS the
citation reporting of LIS and LIS linked writings, these two databases does not replace

Role of Scopus in research11


each other but they complement each other. As measured by WOS Scopus also
significantly alters the rankings of SLIS literature, although both Scopus and GS
provide a considerably high no. of citations.
The study has also importantinferences for the wider academic community as
researchers begin to adopt the techniques and Bibliometric databases portray or listed
here to spot out citations that may remain outright for them otherwise. In the need of
collecting Bibliometric data tools in the database requires more specific strategy for
the search, to get results more efficient.
Although the two quality databases WOS and Scopus have better quality and weight
for citations but unique citations at GS could be very useful in providing broader
international impact than it could be done through WOS and Scopus.
As the fact is that Scopus is different from WOS in terms of scope, policies for
coverage and volume of the data but the results (papers) and its impact (citations) of
different countries are pretty much correlated, even as per the subsection of the data
for a specific level of specialty like nanotechnology. The result of the study is
consistent to the results obtained by Lopez-Illescas et al. (in press) for the field of
oncology. (Eric et. al. 2009) From the above one could say that these two databases
suggest strong tools to quantify science literature at the country level.
From the basic SciVerse Scopus information as they say to have, the information
before and after 1996; from 1996 the titles included in SciVerse Scopus are 99%
complete, and all records published in SciVerse Scopus comprises with cited
references, in SciVerse Scopus three forth of all articles, possess an abstract, more
than four by fifth of all since 1996 have abstracts, SciVerse Scopus has also included
volume no. 1 and issue no. 1 of journals as required from the market response and

Role of Scopus in research12


interviews with customers. Scopus classify the titles into four major subject groups,
like (under social science, under health sciences, under life sciences and under
physical sciences) and they are more divided into other twenty seven subject groups
and more than three hundred minor subject groups and therefore a title might fit to
more than one subject group(SciVerse Scopus, 2011).

2.3

BIBLIOMETRIC CITATIONS
Using Scopus and Thomson Scientific citation indexes both reported and

retrieved same citation counts for the authors. For Thomson Scientific database a new
version better indexes should not be taken as an alternative and be viewed as a
supplement to it. In order to perform citation study of the databases, the helpfulness of
new citation improved databases will grow as the magnitude of the content increases
as to determine the usefulness of the Bibliometric database is coverage is not the one
and most useful criteria, (Christoph & Daniel, 2012-13) but the quality of the
literature and also implementation facilities for browsing, sharp findings and
questioning the data must also be considered, it is said to be a susceptible method to
access research performance on the basis of citations as the course of citation is an
intricate one.
Some of the important reasons for the increasing acceptance of citation in query
include: Firstly, the cogency and dependability of systems to measure, maintenance,
or for the impact of a scientist's research output in peer review grounded conclusion
on the query, and mainly domains where communication mediums of scholarly
journal article and papers is taken as necessary, (Christoph & Daniel, 201213).Secondly, to store the volume of data at relatively easier way, Thirdly, many
bibliometrics products are propagated.

Role of Scopus in research13


In this study the articles were taken of those which were published in 1985 and 2000,
results for 1985 were indecisive, but for 2000, either it is WOS or Scopus 1the citation
counts is much lower than that of GS. It is concluded that for higher citation counts
GS would be used in addition to WOS & Scopus, and for a relatively recent article it
is recommended GS should be used with WOS and Scopus.
For citation counts reported by GS it would almost always less than what it appears.
In this study the author take his own paper as an example and the paper was Google
Scholar: the pros and the cons which was published in Online Information Review in
2005, GS report it as with citation counts of fifty seven (57) times, seems to be a good
news for the author and the publisher, but not get away with the happiness as the
reported citations by GS was not the actual one. After asking GS for show the
money, it shows fifty five (55) citations and out of which only fifty three (53) can be
shown by GS. Even though the no(s) are very small but GS cannot tell the truth.
Interloper was actually being added by GS although it did not unseat the real
author(s). (Jasco, 2008) It does not end here as GS also give citations for the paper to
those who did not have any link to it and GS is impressively motivated in adding
authors.
Citation analysis, the assessment of the observed data which was been derived from
cited references in bibliographic of scholarly publication or footnotes1is a useful,
influential and a bit famous method of investigating and mapping the intellectual
impact of research scientists, project makers, journals, disciplines, and nations as
used by them2.
11(Borgman, 1990; Garfield,1979;)
2( Meho, 2007; Moed, 2005)

Role of Scopus in research14


Scopus goes from the year 1996 for the cited references. Depending on the reports of
their CSAB (Content Selection Advisory Board) and research of the market Scopus
has decided that Scopus should focus more on current literature coverage rather than
covering old ones, as it is sufficient for most of the cases that it should include
citations back to 1996(SciVerse Scopus, 2011).
On Scopus affiliation date is made easily possible to search. The application name
Affiliation Identifier is used to automatically identify and compare research results
with the organization. This tool provided by Scopus is useful for deans, librarians and
faculty heads and those who are involved in competitive Bibliometric intellect; and it
is also useful for the government market fund operators(SciVerse Scopus, 2011).
Scopus is designed to cover the literature in a global perspective. Research titles
regardless of the region are covered, Scopus also include other than English literature
if its is provided with the English abstracts, and to be more exact, Scopus have titles
in languages other than English (or published in both English and another language)
approximately twenty one (21) %(SciVerse Scopus, 2011).

2.4BIBLIOMETRICH_INDEX
The h-index is a new Bibliometric measure which was introduced by Jorge
Hirsch in 2005, and this term was named on Hirsh as h-index, as it is calculated as
researcher has said to have an index of h if h of his/her papers have at least h citation
each and other papers have-not more than h citations each(Lokeman& Rogers, 201213, Judit, 2008).
If said that a researcher has an h-index which indeed means that his/her publicationgot
at least h2 citations, this is said to be lack of information and the actual figure maybe

Role of Scopus in research15


much greater. Also if h-indices of Scopus, Google Scholar and WOS is compared
there could be a significant difference as there may be the dissimilarity in the citation
counts. It is being found from this research that type of citation tool used does matter
for calculating the h-index of the author. As it is known that differences in citation
counts for different databases creates dilemma for the policy makers and the
promotion committee(s) due to the disciplinary variances in the coverage of the
databases.
WOS and Scopus provides the software for the users in order to distinguish between
authors first name and the same name but in GS neither there is any option nor any
software for such search, one will always be searching like playing a blind(Jasco,
2008).
Due to the volume of the records these publications attained are arranged in
descending direction as the index are built on many publications. The quantification
of the reports inside the checklist gives value to the h corresponds, which can be
assumed as N in not more to be calculated.
Scopus locate the need of the researchers to find the h-index in Scopus, the procedure
to find can be as follows. Go to Scopus, choose the tab Writer Search and sort your
last name inside the explore pack as well as for typical labels among or even more
initials. A checklist shows up with distinctive differences of your specific name and
also different combos of identity and also group or else subject region. Assess every
one of the correct posts and click on the button Illustrate to documents: You are now
on the Results page. Select all references and click on the Citation tracker button: A
collection of Referenced papers is in fact proven planned from publishing 12 months.
For the right-hand part a good container utilizing particulars on the h-index is granted.

Role of Scopus in research16


Being a slave to clicking taking h-graph gives you the visible preview of the facts.
Articles which aren't up to you might be deleted coming from the record along with
the h-index will probably be recalculated.

2.5

SCOPUS WEB SEARCH&SOFTWARES

2.5.1

Author Worldle:
The use of Author Wordle enables researchers to produce a world cloud

from the brands of a typical last 100 papers to every creator with regard to Scopus.
Once you have excess the app, all you need to do is an Author Ad web page as part of
Scopus some writer and click on the app creation throughout underside right to spread
out the Wordle. Then again, head over to the SciVerse Hub residence page as well as
search in doctors further. Wordle is truly a doll house in building word environment
for text message. The clouds provide higher prominence out to terms that in fact look
a lot more regularly inside the obtain text message. Surroundings can easily be
tweaked utilizing unique fonts, floor plans, and also paint palettes. The figures
comprised of Wordle can be yours to use regardless of how you including. You could
print them out, and / or rescue them to the Wordle gallery to share with your pals.
Creators can use these kinds Wordle word environment on their personal web-site as
an illustration with their investigation, or just for excitement(SciVerse Scopus, 2011).
The Scopus Person responsible Identifier pulls off the work for you from
automatically coordinating variations relevant to an authors name and also discerning
in between doctors in the identical specific name. All the literature belonging to a
particular creator will be planned throughout author's particulars (such as number of
documents received, organizations, H-index)(SciVerse Scopus, 2011).

Role of Scopus in research17


For Deans, chancellors and provosts
The Scopus Person responsible Identifier pulls off the hard work for you by way of
automatically same as variations of an authors name as well as discerning within
authors with the exact same identity.
For Heads of departments
The Scopus Person responsible Identifier reduces the amount of time were required to
name in addition to total every one of the literature included in a definite an
exploration collection of people or separate. This particularly trees only more time for
your exact function and allows you to get well-informed smart actions.
Every time a spokesman records some research with a seminar, look this immediately
and then judge that the doctors tend to be, and where theyre to and just what other
perform the job they will mentioned. Retailer articles available as one obtainable spot
and also save them to be able to examine later(SciVerse Scopus, 2011).
There can be two tactics to look for you during Scopus:
1) A creator explore or 2) a sophisticated Seek.
Remember, while Scopus indexes many log, it doesn't indicator every one of them, so
a few of a person's publishings will possibly not reveal. This is the reason it is
recommendedto search with regard to numerous places.
In Scopus, as with World Wide Web of the Science, the easiest way to search for all of
your guides is simply by executing a Creator search. To do this, you'll want to actually
then check out the "Author Explore" tabs, after which variant household most recent
title and your initials, which includes intervals. You may also narrow your outcome

Role of Scopus in research18


from that include title of this habit, if by chance you have for the most part wrote
utilizing one particular association, and / or by way of deciding on singularly his chief
investigation places -- curious about e.g. "Cultural Sciences & Humanities."
2.5.2

Searching & Saving:


Every time a spokesman records some research with a seminar, look this

immediately and then judge that the doctors tend to be, and where theyre to and just
what other perform the job they will mentioned. Retailer articles available as one
obtainable spot and also save them to be able to examine later(SciVerse Scopus,
2011).
In contrast to World Wide Web for Skill, all of your guides ought to be positioned
under a particular, managed person responsible name. You will want out to then check
out the related range under "Papers" to landscape all of the publishing contained in
Scopus simply by that in fact creator.
Out of box idea records in posts which experts state location household sources, then
check out the bound number below "Literature" at the far-right of each one journal.
You are able to click on any of your publishings and after that select "View
Citations," situated within the bottom of your achievements page website, to actually
idea most of the publishings citing at Scopus is important. B. Web of Technology as
well as Scopus generally doesn't determine in between publications everybody
abridged, co-authored, and / or posted alone. Whether tracking things like this are
important, you may desire to focus on the citations for each journal one by
one(SciVerse Scopus, 2011).
On this page you are able to select every one of the documents, be it one by one, by
casting the assess pack beside the citation, or alternatively en masse, by way of

Role of Scopus in research19


casting "Every" for the under part results list. Subsequent, you can export each of
these citations with a citation supervisor by way of selecting "Export," additionally
for the under part achievements page.
2.5.3

ADVANCE SEARCH
Secondly thanks to search for yourself in Scopus would be the Enhanced

Search, which you can see among the tabs first in the main Seek site. On this page
you really need to generate a look term, which you'll be able to make with oversight
by the driver menu. Choose upon and / or variety "REFAUTH" into your command
line, and then in the parenthesis type your company's name with regard to selection
script and with the number one in addition to internal initials, just like proven beneath.
At the next web page, you are able to narrow his outcomes by being a slave to
clicking the verify bins besides relevant sections below "Subject matter Location,"
then being a slave to clicking "Restriction to firmly." The outcomes which are formed
may possibly be in articles that may possibly cite yourself, or name someone which
has a similar specific name in your own field. This way often proves to be much more
labor-intensive, since many of our results could possibly be unimportant, except it is
in addition prone to search for a number of posts which are neglected in the
straightforward Creator Look(SciVerse Scopus, 2011).
2.5.4

SciVerse Scopus Mobile

2.5.4.1

Functions:

Look in Scopus posts as well as citations. See abstracts. Create in addition to


obtain alerts for favored searches and person responsible citations. Annotate posts
with your own personal remarks. Share article web links via email.

Role of Scopus in research20


2.5.4.2

Description

Elseviers SciVerse Scopus will probably be the principal service for looking for and
allotment peer-reviewed facts that will assist you to in your own study, no matter
whether you happen to be attempting to find a single tumor heal, or upgrade irrigation
during Cameras. Whatever your knowledge, whenever youre further from Labrador
retriever yet should communicate with the latest investigates, utilize the SciVerse
Scopus mobile application to firmly: Explore in a large number of academic log from
above 5000 worldwide publishers; Use essential articles in one area for painless lookup; Arrange and overview alerts for your personal most-liked searches; Arrange
electronic mail alerts in once a great writer cites a certain article; Explainposts with
your own notes; Part content URL.Links via email or alternatively twitter(SciVerse
Scopus, 2011).

Role of Scopus in research21

Chapter 3: RESEARCH METHODS


The aim of this research is to identify the main role Scopus in terms of
bibliometrics database, its functions, responsibilities, capabilities, roles, usefulness
and beneficial for researchers, detail availability of different research based
characteristics on Scopus. In this study it would be found how the authors those who
are at top have different H-index and citations at different bibliometrics database.
In this study the main empirical study is to analyze the variables citations, H-index
and web search of both Scopus and Repec for the top 100 authors list taken from
Repec, finding the co-integration between them. This method show either the
observations of variables at Scopus and Repec co-move or not. This methodology
does not have a time series data its a group data as the group is the top 100 authors at
Repec ranking, so no unit root test is done for the no-stationary or stationary of the
data. This methodology indicates how the observations of the variables move through
the path, and the path taken here is the ranking of top 100 authors at Repec (Table 4).
The variables taken on the basis of the authors, citations show the citations of the
authors available at Repec and Scopus, H-index shows the H-index value given to
authors by the databases Repec and Scopus.
The two databanks are compared with co-integration, using the Johansen cointegration test for two comparable variables.

3.1

METHOD OF DATA COLLECTION


At first main variables like publications of authors, co-authors, field of study

and contribution was included but due to unavailability at Repec of these variables the
study got shorten up. As for one variable like publication Repec shows only the no. of
pages published or would show the books and articles published which seems to be

Role of Scopus in research22


unsatisfied work for me as it does not give one a clear idea which article is a paper of
research and which is not.
This study investigates the co-movement of the two databank Scopus and
Repec,therefore the data is collected from both the databanks regarding the variables
used in this study. Citations, h-index, web search are collected through those
databanks.

3.2

SAMPLE SIZE
In order to conduct this research a secondary sample of top 100 authors list

that was generated from Repec was used so it can be said that the sample size is 100

3.3

SAMPLING TECHNIQUE
In this paper cluster sampling technique is used, and a sample of top 100

authors as provided by the Repec databank was used for the Repec and Scopus
databanks for the variables of citations, H-index, web search.

3.4

STATISTICAL TOOLS USED


There have been two different tools used in this study for the comparison one

is Johansson Co-integration and the other is independent sample T-test for the
difference of means, although this study is more sort of a detailed info research rather
than an empirical one Co-integration test (Eviews.) mainly compared the variables of
Web-search, Citations of Authors and H-index of Authors.

Role of Scopus in research23

3.5

RESEARCH MODEL

Web-search Scopus

Citations at Scopus

CoIntegration

Web-search Repec

H-index at Scopus

CoIntegration

Citations at Repec

CoIntegration

H-index at Repec

Role of Scopus in research24

CHAPTER 4: RESULTS
In the table (Table 1) the variables H-index at Repec and H-index at Scopus of
the sample of100 top authors at Repec were used to analyze the co-integration
between them, the results indicate that they have significant (p value .0005) high cointegration between their observations and their observations follow approximately
the same path of flow with F-value 1549 and 3.84.
The above given Trace stats. (27.372 at. none and 9.2873 at most 1) and Max Eigen
stats (18.0845 at. none and 9.2873 at most 1) are huge which indicates a high cointegration between these two variables.
So from above table one can conclude that H-index of Repec and H-index of Scopus
are highly co-integrated.
In the table (Table 2) the variables Citation at Repec and Citation at Scopus of the
sample of100 top authors at Repec were used to analyze the co-integration between
them, the results indicate that they have significant (p value .0000) high co-integration
between their observations and their observations follow approximately the same path
of flow with F-value 1549 and 3.84.
The above given Trace stats. (43.4232 at. none and 17.129 at most 1) and Max Eigen
stats (26.2944 at. none and 17.129 at most 1) are huge which indicates a high cointegration between these two variables.
So from above table one can conclude that Citations at Repec and Citations at Scopus
are highly co-integrated.
In the table (Table 3) the variables web search at Repec and webs search at Scopus of
the sample of100 top authors at Repec were used to analyze the co-integration
between them, the results indicate that they have significant (p value .0005) high co-

Role of Scopus in research25


integration between their observations and their observations follow approximately
the same path of flow with F-value 1549 and 3.84.
The above given Trace stats. (27.3848 at. none and 5.9987 at most 1) and Max Eigen
stats (21.386 at. none and 5.9987 at most 1) are huge which indicates a high cointegration between these two variables.
So from above table one can conclude that Citations at Repec and Citations at Scopus
are highly co-integrated

4.1 Hypothesis Assessment Summary


Hypothesis

F value

Significant value

Decision

There is a co-integration between H-index at

15.49,

0.0005, 0.0023

Accepted

Scopus and H-index at Repec.

3.84

There is a co-integration between Citations at

15.49,

0.00001, 0.00001

Accepted

Scopus and Citations at Repec.

3.84

There is a co-integration between Web search at

15.49,

0.0005, 0.0143

Accepted

Scopus and Web search at Repec.

3.84

Role of Scopus in research26

CHAPTER 5: DISCUSSION, IMPLICATION,


RECOMMENDATIONS, FUTURE RESEARCH AND
CONCLUSION
5.1

DISCUSSION
The above research is conducted in order to assess that either there is a co-

integration between citations of authors at Repec and citations of authors at Scopus,


H-index of authors at Repec and H-index of authors at Scopus. Here citations at
Repec indicates how many people have cited the published papers of the authors in
their research study and same for citations at Scopus, H-index at Repec and H-index
at Scopus indicates the h-index given to an author by Repec and Scopus
simultaneously. Co-integration has been used as a statistical technique in which Unit
root test is not used before Johansen co-integration as the data is not a time series one.
Johansen co-integration is used as econometrical modeling. The result suggests that
variables (citations, H-index and web search)at Scopus and Repec can co-move with
each other and there is co-integration exist among these variables. If there will be an
increase in any of the variables at Repec the variables at Scopus will also increase.

5.2

IMPLICATION
In this research variables (Citations, H-index, web search) of Scopus and

Repec has been analyzed in order to know that are they co move with each other. For
this co-integration has been applied as a statistical technique in which it has been
found out that variables of Repec and variables of Scopus can co move with each
other it show that two of these variables move together each other. This study has

Role of Scopus in research27


certain implication firstly it helps in realizing the main characteristics of Scopus its
role, its functions and how this big bibliometrics database provide different info to the
subscribers and the researchers and authors, the information they require. Secondly,
this study has a vice versa effect also in which variables at Repec and variables at
Scopus have same path of movement as from the top 100 authors rankings (Table 4).
This study can be used in making researchers, authors, information collector, data
preserver and others realize the importance of the bibliometrics database Scopus and
its role in research.

5.3

FUTURE RESEARCH
Only three variables have been studied in this research in this study these are

Citations of authors at Repec and at Scopus, web search for authors at Repec and at
Scopus and H-index of authors at Repec and at Scopus. Addition of some more
bibliometrics variables like journals, publication, co-authors or field of study in this
study would help in determining some more interesting results that would identify the
behavior of different bibliometrics databases. The second limitation is the sample size
increase in the sample size would also help in better understanding of the relationship
among the variable well that on what intensity the variables can co move with each
other.

5.4

CONCLUSION
The idea behind this research is to identify that either variables (citations, web

search and H-index) at Repec and at Scopus co-move with each other or not. Cointegration has been used as an econometrical technique in which it is found that
variables citations web search, and H-index co move. Citations shows how much the
work of a researcher have been utilized for different and further research, H-index

Role of Scopus in research28


provides the idea how an author is ranked through the index at different bibliometrics
database and web search shows how many times people search for an author or a
researcher. It has been concluded from this study that either Repec or Scopus is used
for a group of bibliometrics variables the results would be indicated as a co movement
between them.

Role of Scopus in research29

REFERENCES
Chang, C., Michael, Mc. and Oxley L. (2011), Great expectatrics: Great
papers, Great journals, great econometrics, Econometric Reviews, 30(6),
583-619.
Chang, C.L Esfandiar M. and Michael Mc. (2012), Robust ranking of journal
quality, Economic Institute, Erasmus University Rotterdam,pp 1-53
Christoph, N.& Hans-Dieter, D., Data sources for performing citation
analysis: An overview,Journal of Documentation (forthcoming)
ric, A., David, C.,Gingras, Y. and Vincent, L.(2009), Comparing
Bibliometrics Statistics Obtained From the Web of Science and Scopus,
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND
TECHNOLOGY, 60(7):13201326,
Eugene G., (1972), Citation Analysis as a Tool in Journal Evaluation,
Essays of an Information Scientist, Vol1, p.527-544, 1962-73
JUDIT, B. I. (2008), which h-index? A comparison of WoS, Scopus and
Google Scholar, AkadmiaiKiad, Budapest and Springer,
DordrechtScientometrics, Vol. 74, No. 2 (2008) 257271
Loet,L.and Tobias, O., Scopuss Source Normalized Impact per Paper
(SNIP) versus a Journal Impact Factor based on Fractional Counting of
Citations, Journal of the American Society for Information Science &
Technology(forthcoming)
Lokman, I. M. and Kiduk, Y., Impact of Data Sources on Citation Counts
and Rankings of LIS Faculty Web of Science vs. Scopus and Google
Scholar, Journal of the American Society for Information Science and
Technology (forthcoming)
Lokman, I. M.and Yvonne R., Citation Counting, Citation Ranking, and hIndex of Human-Computer Interaction Researchers: A Comparison
between Scopus and Web of Science, Journal of the American Society for
Information Science and Technology (forthcoming)
Nisa, B., Kathleen, B., Janis, G. and Lei W., Three options for citations
tracking Biomed Digit Libr. 2006; 3: 7
Peter, J., the pros and cons of computing the h-index using Google
Scholar, Online Information Review Vol. 32 No. 3, 2008 pp. 437-452
Scopus Application Gallery,
http://www.applications.sciverse.com/action/gallery
Scopus -Search for an author, http://tinyurl.com/cefa628

SciVerse Scopus (2011) Content Coverage Guide, SciVerse Scopus.

Role of Scopus in research30

APPENDIX
TABLE 1
Sample (adjusted): 6 95
Included observations: 84 after adjustments
Trend assumption: Linear deterministic trend
Series: H_INDEXR H_INDEXS
Lags interval (in first differences): 1 to 4
Unrestricted Cointegration Rank Test (Trace)
Hypothesized
No. of CE(s)

Eigenvalue

Trace
Statistic

0.05
Critical Value

Prob.**

None *
At most 1 *

0.193694
0.104670

27.37183
9.287322

15.49471
3.841466

0.0005
0.0023

Trace test indicates 2 cointegratingeqn(s) at the 0.05 level


* denotes rejection of the hypothesis at the 0.05 level
**MacKinnon-Haug-Michelis (1999) p-values
Unrestricted Cointegration Rank Test (Maximum Eigenvalue)
Hypothesized
No. of CE(s)

Eigenvalue

Max-Eigen
Statistic

0.05
Critical Value

Prob.**

None *
At most 1 *

0.193694
0.104670

18.08451
9.287322

14.26460
3.841466

0.0119
0.0023

Max-eigenvalue test indicates 2 cointegratingeqn(s) at the 0.05 level


* denotes rejection of the hypothesis at the 0.05 level
**MacKinnon-Haug-Michelis (1999) p-values
Unrestricted Cointegrating Coefficients (normalized by b'*S11*b=I):
H_INDEXR
-0.155224
0.227818

H_INDEXS
0.323975
-0.005952

Unrestricted Adjustment Coefficients (alpha):


D(H_INDEXR)
D(H_INDEXS)

-0.969146
-3.650562

1 Cointegrating Equation(s):

-1.927412
-0.054470

Log likelihood

-556.3292

Normalized cointegrating coefficients (standard error in parentheses)


H_INDEXR
H_INDEXS
1.000000
-2.087140
(0.40397)
Adjustment coefficients (standard error in parentheses)
D(H_INDEXR)
0.150435
(0.11327)

Role of Scopus in research31


D(H_INDEXS)

0.566656
(0.13443)

TABLE 2
Sample (adjusted): 6 95
Included observations: 83 after adjustments
Trend assumption: Linear deterministic trend
Series: CITATION V4_A
Lags interval (in first differences): 1 to 4
Unrestricted Cointegration Rank Test (Trace)
Hypothesized
No. of CE(s)

Eigenvalue

Trace
Statistic

0.05
Critical Value

Prob.**

None *
At most 1 *

0.271523
0.186469

43.42319
17.12882

15.49471
3.841466

0.0000
0.0000

Trace test indicates 2 cointegratingeqn(s) at the 0.05 level


* denotes rejection of the hypothesis at the 0.05 level
**MacKinnon-Haug-Michelis (1999) p-values
Unrestricted Cointegration Rank Test (Maximum Eigenvalue)
Hypothesized
No. of CE(s)

Eigenvalue

Max-Eigen
Statistic

0.05
Critical Value

Prob.**

None *
At most 1 *

0.271523
0.186469

26.29436
17.12882

14.26460
3.841466

0.0004
0.0000

Max-eigenvalue test indicates 2 cointegratingeqn(s) at the 0.05 level


* denotes rejection of the hypothesis at the 0.05 level
**MacKinnon-Haug-Michelis (1999) p-values
Unrestricted Cointegrating Coefficients (normalized by b'*S11*b=I):
CITATION
-0.000241
0.001191

V4_A
0.001432
-0.001104

Unrestricted Adjustment Coefficients (alpha):


D(CITATION)
D(V4_A)

-654.7442
-802.6572

1 Cointegrating Equation(s):

-363.6523
313.5328

Log likelihood

-1434.885

Normalized cointegrating coefficients (standard error in parentheses)


CITATION
V4_A
1.000000
-5.944097
(0.94277)
Adjustment coefficients (standard error in parentheses)
D(CITATION)
0.157750
(0.03845)
D(V4_A)
0.193387
(0.04235)

Role of Scopus in research32

TABLE 3
Sample (adjusted): 6 95
Included observations: 90 after adjustments
Trend assumption: Linear deterministic trend
Series: V8_A WEB_SEAR
Lags interval (in first differences): 1 to 4
Unrestricted Cointegration Rank Test (Trace)
Hypothesized
No. of CE(s)

Eigenvalue

Trace
Statistic

0.05
Critical Value

Prob.**

None *
At most 1 *

0.211500
0.064480

27.38481
5.998744

15.49471
3.841466

0.0005
0.0143

Trace test indicates 2 cointegratingeqn(s) at the 0.05 level


* denotes rejection of the hypothesis at the 0.05 level
**MacKinnon-Haug-Michelis (1999) p-values
Unrestricted Cointegration Rank Test (Maximum Eigenvalue)
Hypothesized
No. of CE(s)

Eigenvalue

Max-Eigen
Statistic

0.05
Critical Value

Prob.**

None *
At most 1 *

0.211500
0.064480

21.38607
5.998744

14.26460
3.841466

0.0032
0.0143

Max-eigenvalue test indicates 2 cointegratingeqn(s) at the 0.05 level


* denotes rejection of the hypothesis at the 0.05 level
**MacKinnon-Haug-Michelis (1999) p-values
Unrestricted Cointegrating Coefficients (normalized by b'*S11*b=I):
V8_A
-3.00E-06
-3.55E-07

WEB_SEAR
4.74E-06
-0.000173

Unrestricted Adjustment Coefficients (alpha):


D(V8_A)
D(WEB_SEAR)

399323.0
-1028.529

1 Cointegrating Equation(s):

52239.88
1679.247

Log likelihood

-2274.051

Normalized cointegrating coefficients (standard error in parentheses)


V8_A
WEB_SEAR
1.000000
-1.579424
(12.3806)
Adjustment coefficients (standard error in parentheses)
D(V8_A)
-1.198828
(0.26785)
D(WEB_SEAR)
0.003088
(0.00232)

Role of Scopus in research33

TABLE 4

Ran
Author
k

Score

Joseph E. Stiglitz
Finance & Economics Department, Graduate School of Business,
Columbia University, New York City, New York (USA)

3.37

Andrei Shleifer
Department of Economics, Harvard University, Cambridge,
Massachusetts (USA)
Department of Economics, Harvard University, Cambridge,
Massachusetts (USA)

3.42

James J. Heckman
Department of Economics, University of Chicago, Chicago, Illinois
(USA)

3.44

Robert J. Barro
Department of Economics, Harvard University, Cambridge,
Massachusetts (USA)

5.16

Robert E. Lucas Jr.


Department of Economics, University of Chicago, Chicago, Illinois
(USA)

7.34

DaronAcemoglu
Economics Department, Massachusetts Institute of Technology (MIT),
Cambridge, Massachusetts (USA)

8.27

Peter C. B. Phillips
Cowles Foundation for Research in Economics, Yale University, New
Haven, Connecticut (USA)

8.28

Jean Tirole
Institutd'conomieIndustrielle (IDEI), Toulouse School of Economics
(TSE), Toulouse, France

11.35

Martin S. Feldstein
National Bureau of Economic Research (NBER), Cambridge,
Massachusetts (USA)

11.48

10

Olivier Blanchard
Economics Department, Massachusetts Institute of Technology (MIT),
Cambridge, Massachusetts (USA)

15.77

11

Thomas J. Sargent
Department of Economics, New York University (NYU), New York
City, New York (USA)

16.34

12

Kenneth S Rogoff
Department of Economics, Harvard University, Cambridge,

16.76

Role of Scopus in research34


Ran
Author
k

Score

Massachusetts (USA)
13

Mark L. Gertler
Department of Economics, New York University (NYU), New York
City, New York (USA)

17.89

14

Edward C. Prescott
Research Department, Federal Reserve Bank of Minneapolis,
Minneapolis, Minnesota (USA)

19.28

15

John Y. Campbell
Department of Economics, Harvard University, Cambridge,
Massachusetts (USA)

20.33

16

Christopher F Baum
Department of Economics, Boston College, Chestnut Hill,
Massachusetts (USA)

21.07

17

Paul R. Krugman
Woodrow Wilson School of Public and International Affairs, Princeton 21.44
University, Princeton, New Jersey (USA)

18

James H. Stock
Department of Economics, Harvard University, Cambridge,
Massachusetts (USA)

21.85

19

Peter Nijkamp
AfdelingRuimtelijkeEconomie, Faculteit der
EconomischeWetenschappen en Bedrijfskunde, VrijeUniversiteit,
Amsterdam, Netherlands

22.94

20

Nicholas Cox
,

23.48

21

Gary S. Becker
Department of Economics, University of Chicago, Chicago, Illinois
(USA)

24.41

22

Lawrence H. Summers
Department of Economics, Harvard University, Cambridge,
Massachusetts (USA)

24.74

23

Richard Blundell
Department of Economics, University College London (UCL), London,
United Kingdom
24.89
Department of Economics, University College London (UCL), London,
United Kingdom

24

Ben S. Bernanke
Federal Reserve Board (Board of Governors of the Federal Reserve
System), Washington, District of Columbia (USA)

25

Ross Levine
Economics Department, Brown University, Providence, Rhode Island

27.47
27.67

Role of Scopus in research35


Ran
Author
k

Score

(USA)
26

Barry Julian Eichengreen


Department of Economics, University of California-Berkeley,
Berkeley, California (USA)

27.88

27

Alberto Alesina
Department of Economics, Harvard University, Cambridge,
Massachusetts (USA)

28.11

28

Elhanan Helpman
Department of Economics, Harvard University, Cambridge,
Massachusetts (USA)

29.29

29

Stephen J Turnovsky
Department of Economics, University of Washington, Seattle,
Washington (USA)

29.42

30

David E. Card
Department of Economics, University of California-Berkeley,
Berkeley, California (USA)

30.63

31

Robert Ernest Hall


Department of Economics, Stanford University, Stanford, California
(USA)

30.69

32

N. Gregory Mankiw
Department of Economics, Harvard University, Cambridge,
Massachusetts (USA)

31.31

33

M HashemPesaran
Faculty of Economics, University of Cambridge, Cambridge, United
Kingdom

33.04

34

JordiGali
Centre de Recerca en EconomiaInternacional (CREI), Barcelona
Graduate School of Economics (Barcelona GSE), Barcelona, Spain

35.17

35

Alan B. Krueger
Industrial Relations Section, Department of Economics, Princeton
University, Princeton, New Jersey (USA)

35.2

36

Michael Woodford
Department of Economics, School of Arts and Sciences, Columbia
University, New York City, New York (USA)

35.33

37

Edward Ludwig Glaeser


Department of Economics, Harvard University, Cambridge,
Massachusetts (USA)

36.66

38

Robert W. Vishny
Booth School of Business, University of Chicago, Chicago, Illinois
(USA)

39

Raghuram G. Rajan

36.7
36.88

Role of Scopus in research36


Ran
Author
k

Score

George J. Stigler Center for the Study of the Economy and the State,
Booth School of Business, University of Chicago, Chicago, Illinois
(USA)
40

James Poterba
Economics Department, Massachusetts Institute of Technology (MIT),
Cambridge, Massachusetts (USA)

38.49

41

Jeffrey Alexander Frankel


Mossavar-Rahmani Center for Business and Government, Kennedy
School of Government, Harvard University, Cambridge, Massachusetts
(USA)

40.2

42

Maurice Obstfeld
Department of Economics, University of California-Berkeley,
Berkeley, California (USA)

40.71

43

Lawrence F. Katz
Department of Economics, Harvard University, Cambridge,
Massachusetts (USA)

43.67

44

Lars E. O. Svensson
Institute for International Economic Studies (IIES),
StockholmsUniversitet, Stockholm, Sweden

44.04

45

Jean-Jacques Laffont
,

44.85

46

Lawrence J. Christiano
Department of Economics, Northwestern University, Evanston, Illinois
(USA)

47

Carmen M. Reinhart
Peter G. Peterson Institute for International Economics (IIE),
Washington, District of Columbia (USA)

46.23

48

Robert G. King
Department of Economics, Boston University, Boston, Massachusetts
(USA)

46.53

49

Richard B. Freeman
National Bureau of Economic Research (NBER), Cambridge,
Massachusetts (USA)

50

Martin Eichenbaum
Department of Economics, Northwestern University, Evanston, Illinois 54.56
(USA)

51

Robert F. Engle
Volatility Institute, Stern School of Business, New York University
(NYU), New York City, New York (USA)

52

Donald W. K. Andrews
Cowles Foundation for Research in Economics, Yale University, New

45.2

50

55.49
57.31

Role of Scopus in research37


Ran
Author
k

Score

Haven, Connecticut (USA)


53

DaniRodrik
Center for International Development, Kennedy School of
Government, Harvard University, Cambridge, Massachusetts (USA)

54

Christopher Sims
Department of Economics, Princeton University, Princeton, New Jersey 60.02
(USA)

55

John B. Taylor
Stanford Center for International Development (SCID), Stanford
Institute for Economic Policy Research (SIEPR), Stanford University,
Stanford, California (USA)

60.2

56

Peter A. Diamond
Economics Department, Massachusetts Institute of Technology (MIT),
Cambridge, Massachusetts (USA)

62.4

57

Angus S. Deaton
Research Program in Development Studies, Woodrow Wilson School
of Public and International Affairs, Princeton University, Princeton,
New Jersey (USA)

63.53

58

Martin Ravallion
Economics Research, World Bank Group, Washington, District of
Columbia (USA)

64.31

59

Jacques Franois Thisse


Center for Operations Research and Econometrics (CORE), cole des
Sciences conomiques de Louvain, UniversitCatholique de Louvain,
Louvain-la-Neuve, Belgium

66.96

60

Bruno S. Frey
InstitutfrEmpirischeWirtschaftsforschung (IEW),
InstitutfrVolkswirtschaftslehre, WirtschaftswissenschaftlicheFakutt,
Universitt Zrich, Zrich, Switzerland

68.8

61

Drew Fudenberg
Department of Economics, Harvard University, Cambridge,
Massachusetts (USA)

62

George A. Akerlof
Department of Economics, University of California-Berkeley,
Berkeley, California (USA)

63

Ricardo J. Caballero
Economics Department, Massachusetts Institute of Technology (MIT),
Cambridge, Massachusetts (USA)

69.85

64

Lars Peter Hansen


Department of Economics, University of Chicago, Chicago, Illinois
(USA)

70.06

59.95

69.07

69.6

Role of Scopus in research38


Ran
Author
k

Score

65

Guillermo A. Calvo
School of International and Public Affairs (SIPA), Columbia
University, New York City, New York (USA)

70.54

66

Eugene F. Fama Sr.


Booth School of Business, University of Chicago, Chicago, Illinois
(USA)

70.68

67

Robert J. Gordon
Department of Economics, Northwestern University, Evanston, Illinois 71.35
(USA)

68

Paul Michael Romer


Stanford Institute for Economic Policy Research (SIEPR), Stanford
University, Stanford, California (USA)

71.59

69

Bennett McCallum
Department of Economics, Tepper School of Business Administration,
Carnegie Mellon University, Pittsburgh, Pennsylvania (USA)

71.88

70

Frederic Mishkin
Finance & Economics Department, Graduate School of Business,
Columbia University, New York City, New York (USA)

72.41

71

Clive W. J. Granger
,

73.13

72

Timothy J. Besley
Economics Department, London School of Economics (LSE), London, 75.36
United Kingdom

73

RdigerDornbusch
,

75.78

74

Patrick Kehoe
Department of Economics, University of Minnesota, Minneapolis,
Minnesota (USA)

76.63

75

Andrew Kenan Rose


Economic Analysis & Policy Group (EAP), Walter A. Haas School of
Business, University of California-Berkeley, Berkeley, California
(USA)

76.75

76

Paul Milgrom
Department of Economics, Stanford University, Stanford, California
(USA)

77.17

77

Ren M. Stulz
Charles A. Dice Center for Research in Financial Economics, Fisher
College of Business, Ohio State University, Columbus, Ohio (USA)

79.82

78

Florencio Lopez-de-Silanes
Dpartementconomie et finance, Groupe EDHEC (cole de
HautestudesCommerciales du Nord), Lille/Paris, France

80.33

Role of Scopus in research39


Ran
Author
k

Score

79

Alan Auerbach
Robert D. Burch Center for Tax Policy and Public Finance, Department
80.62
of Economics, University of California-Berkeley, Berkeley, California
(USA)

80

John Whalley
Department of Economics, University of Western Ontario, London,
Canada

81.02

81

ZviGriliches
,

81.21

82

John Haltiwanger
Department of Economics, University of Maryland, College Park,
Maryland (USA)

81.85

83

Gene Grossman
International Economics Section, Department of Economics, Princeton 83.58
University, Princeton, New Jersey (USA)

84

Robert J. Shiller
Cowles Foundation for Research in Economics, Yale University, New
Haven, Connecticut (USA)

85

Stephen John Nickell


Economics Group, Nuffield College, Department of Economics,
Oxford University, Oxford, United Kingdom

84.54

86

John List
Department of Economics, University of Chicago, Chicago, Illinois
(USA)
Department of Economics, University of Chicago, Chicago, Illinois
(USA)

88.37

87

AvinashKamalakar Dixit
Department of Economics, Princeton University, Princeton, New Jersey 91.08
(USA)

88

Guido Tabellini
InnocenzoGasparini Institute for Economic Research (IGIER),
UniversitCommerciale Luigi Bocconi, Milano, Italy

91.19

89

Ernst Fehr
InstitutfrEmpirischeWirtschaftsforschung (IEW),
InstitutfrVolkswirtschaftslehre, WirtschaftswissenschaftlicheFakutt,
Universitt Zrich, Zrich, Switzerland

91.66

90

Joshua D Angrist
Economics Department, Massachusetts Institute of Technology (MIT),
Cambridge, Massachusetts (USA)

91.72

91

Sebastian Edwards
Global Economics & Management Group, Anderson Graduate School
of Management, University of California-Los Angeles (UCLA), Los

84.4

92.44

Role of Scopus in research40


Ran
Author
k

Score

Angeles, California (USA)


92

Martin Shubik
Cowles Foundation for Research in Economics, Yale University, New
Haven, Connecticut (USA)

92.74

93

Allen N. Berger
Financial Institutions Center, Wharton School of Business, University
of Pennsylvania, Philadelphia, Pennsylvania (USA)

94.5

94

George Borjas
Kennedy School of Government, Harvard University, Cambridge,
Massachusetts (USA)

94.8

95

BoyanJovanovic
Department of Economics, New York University (NYU), New York
City, New York (USA)

94.96

96

Rafael La Porta
Tuck School of Business, Dartmouth College, Hanover, New
Hampshire (USA)
Tuck School of Business, Dartmouth College, Hanover, New
Hampshire (USA)

95.38

97

Jeremy C. Stein
Department of Economics, Harvard University, Cambridge,
Massachusetts (USA)

100.9
6

98

B. Douglas Bernheim
Department of Economics, Stanford University, Stanford, California
(USA)

101.1
6

99

Eric S. Maskin
102.2
School of Social Science, Institute for Advanced Study, Princeton, New
1
Jersey (USA)

100

William Easterly
Department of Economics, New York University (NYU), New York
City, New York (USA)

102.6
1
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