DocumentCode
1241602
Title
The impact of periodicals on expert systems research
Author
Cheng, Chun Hung ; Holsapple, Clyde W. ; Lee, Anita
Author_Institution
Chinese Univ. of Hong Kong, Shatin, Hong Kong
Volume
9
Issue
6
fYear
1994
Firstpage
7
Lastpage
14
Abstract
Journals and other periodicals are influencing the field of expert systems research more than ever. This fact, coupled with the sheer number of journals related to expert systems technology, raises several questions. How do students and researchers decide which journals to read, and where to submit their work for publication to get maximum exposure? How do librarians decide which journals should get their limited subscription dollars? When promotion time rolls around, how do administrators objectively judge the relative impact of their researchers? Objective answers to such questions will not only meet the specific needs of individuals, they will also help foster the development of the field itself by documenting and contributing to its formative research tradition. Here, we re-evaluate the journals from an earlier study (C.H. Cheng et al., 1994) by assessing their breadth, consistency, trend, and intensity of recognition: is the journal prominently cited in a broad range of expert systems journals (breadth)? Is it prominently cited over a series of consecutive years (consistency)? Is it at least as widely cited in the most recent years as it was in earlier years (trend)? Is it cited more than average (intensity)?.<>
Keywords
expert systems; research and development management; expert systems research; expert systems technology; journals; librarians; periodicals; researchers; students; Artificial intelligence; Expert systems; Filters; Knowledge acquisition; Machine learning; Man machine systems; Radio access networks; Stability; Subscriptions;
fLanguage
English
Journal_Title
IEEE Expert
Publisher
ieee
ISSN
0885-9000
Type
jour
DOI
10.1109/64.363256
Filename
363256
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