Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
523128 | Journal of Informetrics | 2011 | 12 Pages |
Abstract
This paper proposes an axiomatic analysis of Impact Factors when used as tools for ranking journals. This analysis draws on the similarities between the problem of comparing distribution of citations among papers and that of comparing probability distributions on consequences as commonly done in decision theory. Our analysis singles out a number of characteristic properties of the ranking based on Impact Factors. We also suggest alternative ways of using distributions of citations to rank order journals.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Denis Bouyssou, Thierry Marchant,