Premium
Citation‐based journal rankings for expert system research
Author(s) -
Cheng Chun Hung,
Holsapple Clyde W.,
Lee Anita
Publication year - 1995
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.1995.tb00268.x
Subject(s) - citation , computer science , ranking (information retrieval) , expert system , field (mathematics) , data science , point (geometry) , journal ranking , citation impact , focus (optics) , citation analysis , operations research , information retrieval , world wide web , artificial intelligence , physics , geometry , mathematics , pure mathematics , optics , engineering
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.