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Ranking scientists and departments in a consistent manner

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Author Info

  • Denis Bouyssou

    ()
    (LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - CNRS : UMR7024 - Université Paris Dauphine - Paris IX)

  • Thierry Marchant

    ()
    (Department of Data Analysis - Ghent University)

Abstract

The standard data that we use when computing bibliometric rankings of scientists are just their publication/citation records, i.e., so many papers with 0 citation, so many with 1 citation, so many with 2 citations, etc. The standard data for bibliometric rankings of departments have the same structure. It is therefore tempting (and many authors gave in to temptation) to use the same method for computing rankings of scientists and rankings of departments. Depending on the method, this can yield quite surprising and unpleasant results. Indeed, with some methods, it may happen that the "best" department contains the "worst" scientists, and only them. This problem will not occur if the rankings satisfy a property called consistency, recently introduced in the literature. In this paper, we explore the consequences of consistency and we characterize two families of consistent rankings.

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Bibliographic Info

Paper provided by HAL in its series Post-Print with number hal-00606931.

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Date of creation: 2011
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Publication status: Published, Journal of the American Society for Information Science and Technology, 2011, 62, 9, 1761-1769
Handle: RePEc:hal:journl:hal-00606931

Note: View the original document on HAL open archive server: http://hal.archives-ouvertes.fr/hal-00606931/en/
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Keywords: Bibliometrics; ranking of scientists; ranking of departments;

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References

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  1. Bouyssou, Denis & Marchant, Thierry, 2011. "Bibliometric rankings of journals based on Impact Factors: An axiomatic approach," Journal of Informetrics, Elsevier, vol. 5(1), pages 75-86.
  2. Waltman, L. & van Eck, N.J.P., 2009. "A Taxonomy of Bibliometric Performance Indicators Based on the Property of Consistency," ERIM Report Series Research in Management ERS-2009-014-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
  3. Richard Dusansky & Clayton J. Vernon, 1998. "Rankings of U.S. Economics Departments," Journal of Economic Perspectives, American Economic Association, vol. 12(1), pages 157-170, Winter.
  4. Kinnucan, Henry W. & Traxler, Greg, 1994. "Ranking Agricultural Economics Departments By Ajae Page Counts: A Reappraisal," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 23(2), October.
  5. van Eck, N.J.P. & Waltman, L., 2008. "Generalizing the h- and g-indices," ERIM Report Series Research in Management ERS-2008-049-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
  6. Bouyssou, D. & Marchant, T., 2010. "Consistent bibliometric rankings of authors and of journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 365-378.
  7. van Eck, Nees Jan & Waltman, Ludo, 2008. "Generalizing the h- and g-indices," Journal of Informetrics, Elsevier, vol. 2(4), pages 263-271.
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Cited by:
  1. Juan A. Crespo & Ignacio Ortuño Ortíz & Javier Ruiz-Castillo, 2012. "The citation merit of scientific publications," Economics Working Papers we1136, Universidad Carlos III, Departamento de Economía.
  2. Marta Cardin & Marco Corazza & Stefania Funari & Silvio Giove, 2011. "A fuzzy-based scoring rule for author ranking," Working Papers 2011_11, Department of Economics, University of Venice "Ca' Foscari".

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