ERS: Evaluating Reputations of Scientific Journals
Abstract
Current methods for evaluating research are based on counting the number of citations received for publications. Thus, the more an article is cited and the more its impact is considered as important. In this article, we propose a new method for assessing the reputation of scientific journals, based on aWeb application in which are gathered the votes of expert researchers. The voting results indicate degrees of preference for one journal over another. Our system uses, in addition, the publications of an expert in order to quantify his expertise in specific fields. These values are coupled with those of votes to determine the relevance, according to the field, of each journal in each topic. An iterative process of transferring values given to journals by experts to values of the experts themselves given their publications has been implemented.
Domains
Artificial Intelligence [cs.AI]
Origin : Publisher files allowed on an open archive
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