PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

ERS, une plate-forme bibliométrique
Emilie Samuel and Colin de la Higuera
Revue d'Intelligence Artificielle Volume 23, Number 1, pp. 133-153, 2009. ISSN 0992-499X

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 a web application in which the votes of expert researchers are gathered. The voting results indicate degrees of preference for a 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 pertinence, 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 is used.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:4413
Deposited By:Emilie Samuel
Deposited On:13 March 2009