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An Evaluation of Evaluators: Multivariate Statistical Analysis of Journal Evaluation Indicators

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 241)

Abstract

Journal evaluation has blossomed over the past four decades. Not only the bibliometric indicators provided by the Journal Citation Reports (JCR), but alternatives such as Google Scholar, Scopus and many other recently-introduced indicators are becoming popular. However, high correlations between journal evaluation indicators indicate that the development of new variants of the indicators has resulted in hardly any additional empirical contribution, so the application of existing indicators is a more promising direction for future research. This paper attempts to show how to evaluate and classify journals using current journal evaluation indicators by various multivariate statistical analysis methods. Data were collected from all journals in the Operations Research and Management Science category of JCR [10] and SCImago Journal and Country Rank (scimagojr.com). Analysis in other scholarly fields can be conducted using the same method but with different category data in JCR and SCImago Journal and Country Rank.

Keywords

Journal evaluation Bibliometric indicators Multivariate statistical analysis 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Decision Sciences DepartmentLeBow College of Business, Drexel UniversityPhiladelphiaUSA
  2. 2.Uncertainty Decision-Making LaboratorySichuan UniversityChengduPeople’s Republic of China

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