Quotation Vana, Laura, Hochreiter, Ronald, Hornik, Kurt. 2016. Computing a journal meta-ranking using paired comparisons and adaptive lasso estimators. Scientometrics 106 (1), 229-251.




In a “publish-or-perish culture”, the ranking of scientific journals plays a central role in assessing the performance in the current research environment. With a wide range of existing methods for 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 meta-ranking using heterogeneous journal rankings. Employing a parametric model for paired comparison data we estimate quality scores for 58 journals in the OR/MS/POM 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 an aggregated score while eliminating the problem of missing data.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Scientometrics
Citation Index SSCI
Language English
Title Computing a journal meta-ranking using paired comparisons and adaptive lasso estimators
Volume 106
Number 1
Year 2016
Page from 229
Page to 251
Reviewed? Y
URL http://dx.doi.org/10.1007/s11192-015-1772-6
DOI http://dx.doi.org/10.1007/s11192-015-1772-6


Vana Gür, Laura (Details)
Hochreiter, Ronald (Details)
Hornik, Kurt (Details)
Institute for Statistics and Mathematics IN (Details)
Research Institute for Computational Methods FI (Details)
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