Identifying Tiers of Influence in Expert Systems Research: II

Clyde W. Holsapple and Anita Lee

Intelligent Systems in Accounting, Finance and Management, 1996, vol. 5, issue 2, 101-110

Abstract: In the first part of this study we described an objective, multifaceted, citation‐based methodology for assessing journal influence. We applied it to the field of artificial intelligence (AI) to gauge the most influential journals for AI research. In this paper we apply the same methodology to a broadened citation base drawn from journals devoted to expert systems (ES), as well as those with a broader AI editorial scope. The result is a pair of journal tiers that reflect the special emphasis that expert system research has among AI researchers in business schools. Taken together, the AI/ES findings reported here coupled with the general AI tiers identified in Part I provide a fairly complete and insightful picture of the most influential journals impacting AI in general, and AI/ES in particular.

Date: 1996
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https://doi.org/10.1002/(SICI)1099-1174(199606)5:23.0.CO;2-C

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