Applying the Publication Power Approach to Artificial Intelligence Journals

Authors:
Lior Rokach
Affiliations:
Department of Information Systems Engineering, Ben-Gurion University of the Negev, Israel, P.O. Box 653, Beer-Sheva, Israel84105
Venue:
Journal of the American Society for Information Science and Technology
Year:
2012

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Abstract

This study evaluates the utility of a publication power approach (PPA) for assessing the quality of journals in the field of artificial intelligence. PPA is compared with the Thomson-Reuters Institute for Scientific Information (TR) 5-year and 2-year impact factors and with expert opinion. The ranking produced by the method under study is only partially correlated with citation-based measures (TR), but exhibits close agreement with expert survey rankings. A simple average of TR and power rankings results in a new ranking that is highly correlated with the expert survey rankings. This evidence suggests that power ranking can contribute to evaluating artificial intelligence journals. © 2012 Wiley Periodicals, Inc.