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

Author

Listed:
  • M. A. Martínez

    (International University of La Rioja (UNIR))

  • M. Herrera

    (University of Spain (UNED))

  • J. López-Gijón

    (University of Granada)

  • E. Herrera-Viedma

    (University of Granada)

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.

Suggested Citation

  • M. A. Martínez & M. Herrera & J. López-Gijón & E. Herrera-Viedma, 2014. "H-Classics: characterizing the concept of citation classics through H-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1971-1983, March.
    • Handle: RePEc:spr:scient:v:98:y:2014:i:3:d:10.1007_s11192-013-1155-9
    DOI: 10.1007/s11192-013-1155-9
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    References listed on IDEAS

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    1. Albarrán, Pedro & Ortuño, Ignacio & Ruiz-Castillo, Javier, 2011. "The measurement of low- and high-impact in citation distributions: Technical results," Journal of Informetrics, Elsevier, vol. 5(1), pages 48-63.
    2. Jonathan M. Levitt & Mike Thelwall, 2009. "The most highly cited Library and Information Science articles: Interdisciplinarity, first authors and citation patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 45-67, January.
    3. Burrell, Quentin L., 2007. "On the h-index, the size of the Hirsch core and Jin's A-index," Journal of Informetrics, Elsevier, vol. 1(2), pages 170-177.
    4. M.J. Cobo & A.G. López-Herrera & E. Herrera-Viedma & F. Herrera, 2012. "SciMAT: A new science mapping analysis software tool," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(8), pages 1609-1630, August.
    5. Tibor Braun & Wolfgang Glänzel & András Schubert, 2006. "A Hirsch-type index for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 169-173, October.
    6. Alonso, S. & Cabrerizo, F.J. & Herrera-Viedma, E. & Herrera, F., 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields," Journal of Informetrics, Elsevier, vol. 3(4), pages 273-289.
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