Selecting Scientific Papers for Publication via Citation Auctions
IEEE Intelligent Systems
Scholar Agent: Auction Mechanisms for Efficient Publication Selection on Congresses and Journals
Proceedings of the 2007 conference on Artificial Intelligence Research and Development
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This paper describes the basis and a forecast of results of citation auctions as a new approach for the refereeing methods most commonly used in the scientific community, based on peer to peer evaluations. Its main idea is to use auctions for publishing papers, where bids consist of the number of citations that a scientist considers the papers will receive. The benefits of the proposed approach will be, first, a reduction of refereeing costs because the process of citations auction does not need of priory understanding of the papers content without loosing quality in contributions, and second, scientists will be much more committed to the quality of papers, focusing much more in networking and detailed explanations of their papers to maximize the number of citations. As a conclusion, this novel approach emphasizes the scientific collaborative work, proactiveness, while reducing the expensive costs of current methods of refereeing and omitting other possible faults like claques and modes. Finally, an analysis of the number of citations collected in papers published in years 1999--2004, developed by google scholar, and a simple simulation of auctions will outline the behavior of the citation auctions approach.