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Characteristic scores and scales

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  • Glänzel, Wolfgang

Abstract

In an earlier paper by Glänzel and Schubert [Glänzel, W., & Schubert, A. (1988a). Characteristic scores and scales in assessing citation impact. Journal of Information Science, 14(2), 123–127; Glänzel, W., & Schubert, A. (1988b). Theoretical and empirical studies of the tail of scientometric distributions. In L. Egghe, & R. Rousseau (Eds.), Informetrics: Vols. 87/88, (pp. 75–83). Elsevier Science Publisher B.V.], a method for classifying ranked observations into self-adjusting categories was developed. This parameter-free method, which was called method of characteristic scores and scales, is independent of any particular bibliometric law. The objective of the present study is twofold. In the theoretical part, the analysis of its properties for the general form of the Pareto distribution will be extended and deepened; in the empirical part the citation history of individual scientific disciplines will be studied. The chosen citation window of 21 years makes it possible to analyse dynamic aspects of the method, and proves sufficiently large to also obtain stable patterns for each of the disciplines. The theoretical findings are supplemented by regularities derived from the long-term observations.

Suggested Citation

  • Glänzel, Wolfgang, 2007. "Characteristic scores and scales," Journal of Informetrics, Elsevier, vol. 1(1), pages 92-102.
    • Handle: RePEc:eee:infome:v:1:y:2007:i:1:p:92-102
    DOI: 10.1016/j.joi.2006.10.001
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    References listed on IDEAS

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    1. Wolfgang Glänzel & Henk F. Moed, 2002. "Journal impact measures in bibliometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(2), pages 171-193, February.
    2. Wolfgang Glänzel & András Schubert, 2003. "A new classification scheme of science fields and subfields designed for scientometric evaluation purposes," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(3), pages 357-367, March.
    3. Wolfgang Glänzel & Balázs Schlemmer & Bart Thijs, 2003. "Better late than never? On the chance to become highly cited only beyond the standard bibliometric time horizon," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 571-586, November.
    4. Anthony F. J. van Raan, 2004. "Sleeping Beauties in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 467-472, March.
    5. Quentin L. Burrell, 1990. "Using the Gamma‐Poisson model to predict library circulations," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(3), pages 164-170, April.
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    Cited by:

    1. Thelwall, Mike & Wilson, Paul, 2014. "Distributions for cited articles from individual subjects and years," Journal of Informetrics, Elsevier, vol. 8(4), pages 824-839.
    2. Kosmulski, Marek, 2009. "New seniority-independent Hirsch-type index," Journal of Informetrics, Elsevier, vol. 3(4), pages 341-347.

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