Applying the publication power approach to artificial intelligence journals

Research output: Contribution to journalReview articlepeer-review

4 Scopus citations


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


  • bibliographic records

ASJC Scopus subject areas

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


Dive into the research topics of 'Applying the publication power approach to artificial intelligence journals'. Together they form a unique fingerprint.

Cite this