Citation‐based journal rankings for expert system research

Chun Hung Cheng, Clyde W. Holsapple, Anita Lee

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Abstract: Research into the development and impacts of expert systems has accumulated to a point where it may be said to constitute a distinct field of study. As such, the evolution, organisation and dissemination of expert system research are themselves topics for investigation. Here we focus on the dissemination aspect, providing objective rankings of journals that have had the greatest impacts on recent expert system research. Our study examines the citation patterns of all research published in five expert systems journals during the past five years. Over 14 000 citations to more than 800 journals are analysed under two kinds of ranking schemes. These are based on cumulative citation counts and normalised citation counts. The latter adjusts for the number of years a journal article has been available to be cited. The reported rankings will be of interest to all who want to know where scientific developments that influence expert system research are reported: those who conduct, support, evaluate and study expert system research.

Original languageEnglish
Pages (from-to)313-322
Number of pages10
JournalExpert Systems
Issue number4
StatePublished - Nov 1995

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Artificial Intelligence


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