Abstract
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 language | American English |
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Pages (from-to) | 1270-1277 |
Number of pages | 8 |
Journal | Journal of the American Society for Information Science and Technology |
Volume | 63 |
Issue number | 6 |
DOIs | |
State | Published - 1 Jun 2012 |
Keywords
- bibliographic records
All Science Journal Classification (ASJC) codes
- Software
- Information Systems
- Human-Computer Interaction
- Computer Networks and Communications
- Artificial Intelligence