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Citation auctions as a method to improve selection of scientific papers

This paper describes the basis of citation auctions as a new approach to selecting scientific papers for publication. Our main idea is to use an auction for selecting papers for publication through - differently from the state of the art - bids that consist of the number of citations that a scientist expects to receive if the paper is published. Hence, a citation auction is the selection process itself, and no reviewers are involved. The benefits of the proposed approach are two-fold. First, the cost of refereeing will be either totally eliminated or significantly reduced, because the process of citation auction does not need prior understanding of the paper’s content to judge the quality of its contribution. Additionally, the method will not prejudge the content of the paper, so it will increase the openness of publications to new ideas. Second, scientists will be much more committed to the quality of their papers, paying close attention to distributing and explaining their papers in detail to maximize the number of citations that the paper receives. Sample analyses of the number of citations collected in papers published in years 1999-2004 for one journal, and in years 2003-2005 for a series of conferences (in a totally different discipline), via Google scholar, are provided. Finally, a simple simulation of an auction is given to outline the behaviour of the citation auction approach

© 2nd International Conference on Digital Information Management : 2007 : ICDIM ’07, 2007, vol. 1, p. 479-486

IEEE

Autor: Rosa, Josep Lluís de la
Szymanski, Boleslaw K.
Data: 2007
Resum: This paper describes the basis of citation auctions as a new approach to selecting scientific papers for publication. Our main idea is to use an auction for selecting papers for publication through - differently from the state of the art - bids that consist of the number of citations that a scientist expects to receive if the paper is published. Hence, a citation auction is the selection process itself, and no reviewers are involved. The benefits of the proposed approach are two-fold. First, the cost of refereeing will be either totally eliminated or significantly reduced, because the process of citation auction does not need prior understanding of the paper’s content to judge the quality of its contribution. Additionally, the method will not prejudge the content of the paper, so it will increase the openness of publications to new ideas. Second, scientists will be much more committed to the quality of their papers, paying close attention to distributing and explaining their papers in detail to maximize the number of citations that the paper receives. Sample analyses of the number of citations collected in papers published in years 1999-2004 for one journal, and in years 2003-2005 for a series of conferences (in a totally different discipline), via Google scholar, are provided. Finally, a simple simulation of an auction is given to outline the behaviour of the citation auction approach
Format: application/pdf
Cita: de la Rosa, J.L., i Szymanski, B.K. (2007). Citation auctions as a method to improve selection of scientific papers. 2nd International Conference on Digital Information Management : 2007 : ICDIM ’07, 1, 479-486. Recuperat 14 juny 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4444269
ISBN: 978-1-4244-1475-8
Accés al document: http://hdl.handle.net/10256/2592
Llenguatge: eng
Editor: IEEE
Col·lecció: Reproducció digital del document publicat a: http://dx.doi.org/10.1109/ICDIM.2007.4444269
Articles publicats (D-EEEiA)
És part de: © 2nd International Conference on Digital Information Management : 2007 : ICDIM ’07, 2007, vol. 1, p. 479-486
Drets: Tots els drets reservats
Matèria: Investigació -- Avaluació
Literatura científica -- Avaluació
Referències bibliogràfiques
Bibliographical citations
Research -- Evaluation
Scientific literature -- Evaluation
Títol: Citation auctions as a method to improve selection of scientific papers
Tipus: info:eu-repo/semantics/article
Repositori: DUGiDocs

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