Applying the publication power approach to artificial intelligence journals

Research output: Contribution to journalReview articlepeer-review

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.

Original languageAmerican English
Pages (from-to)1270-1277
Number of pages8
JournalJournal of the American Society for Information Science and Technology
Volume63
Issue number6
DOIs
StatePublished - 1 Jun 2012

Keywords

  • bibliographic records

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Networks and Communications
  • Artificial Intelligence

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