Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Computing a consensus journal meta-ranking using paired comparisons and
  adaptive lasso estimators   In a "publish-or-perish culture", the ranking of scientific journals plays a
central role in assessing performance in the current research environment. With
a wide range of existing methods and approaches to deriving journal rankings,
meta-rankings have gained popularity as a means of aggregating different
information sources. In this paper, we propose a method to create a consensus
meta-ranking using heterogeneous journal rankings. Using a parametric model for
paired comparison data we estimate quality scores for 58 journals in the OR/MS
community, which together with a shrinkage procedure allows for the
identification of clusters of journals with similar quality. The use of paired
comparisons provides a flexible framework for deriving a consensus score while
eliminating the problem of data missingness.

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The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
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The categories of this paper are: eess
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The categories of this paper are: plasm-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: cond-mat
3
The categories of this paper are: physics
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The categories of this paper are: alg-geom
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The categories of this paper are: math-ph
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The categories of this paper are: comp-gas