Scientometrics

, Volume 98, Issue 3, pp 1971–1983 | Cite as

H-Classics: characterizing the concept of citation classics through H-index

  • M. A. Martínez
  • M. Herrera
  • J. López-Gijón
  • E. Herrera-Viedma
Article

Abstract

Citation classics identify those highly cited papers which are an important reference point in a research field. To identify a paper as a citation classic we have to fix a citation threshold value. Usually, this threshold value should not be the same for all research fields because each field presents its respective citation pattern. Studies of citation classics in the literature define particular criteria and methods to set citation thresholds, which are often set arbitrarily and designed ad-hoc, and do not allow the scientific community to validate and compare their results. In this paper we introduce the concept of H-Classics to overcome this problem and provide scientific community a standardization of key constructs. We present a new and systematic method to identify citation classics. This identification method of highly cited papers is based on the H-index and thank to the properties of H-index it is sensitive to the own characteristics of any research discipline and also its evolution. Therefore, the concept of H-Classics allows to systematize search procedure of citation classics for any field of research.

Keywords

H-index Citation classics Bibliometric measures 

Notes

Acknowledgments

This research work has been developed with the financing of FEDER funds in FUZZYLING-II Project TIN2010-17876, and the Andalusian Excellence Projects TIC-05299 and TIC-5991.

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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2013

Authors and Affiliations

  • M. A. Martínez
    • 1
  • M. Herrera
    • 2
  • J. López-Gijón
    • 3
  • E. Herrera-Viedma
    • 4
  1. 1.Department of Social WorkInternational University of La Rioja (UNIR)LogroñoSpain
  2. 2.Department of Sociology III, Distance Learning University of Spain (UNED)MadridSpain
  3. 3.Department of Library ScienceUniversity of GranadaGranadaSpain
  4. 4.Department of Computer Science and Artificial IntelligenceUniversity of GranadaGranadaSpain

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