Characteristic scores and scales. A bibliometric analysis of subject characteristics based on long-term citation observation

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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.

Original languageEnglish
Pages (from-to)92-102
Number of pages11
JournalJournal of Informetrics
Volume1
Issue number1
DOIs
Publication statusPublished - Jan 2007

Fingerprint

Bibliometrics
Information science
Citations
Pareto Distribution
Method of Characteristics
Empirical Study
scientific discipline
Tail
regularity
Regularity
information science
Law
Observation
Bibliometric analysis
history

Keywords

  • Citation analysis
  • Disciplinary citation impact
  • Extreme values
  • Long-term citation impact
  • Pareto distribution
  • Truncated moments

ASJC Scopus subject areas

  • Applied Mathematics
  • Modelling and Simulation
  • Statistics and Probability
  • Management Science and Operations Research
  • Computer Science Applications

Cite this

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abstract = "In an earlier paper by Gl{\"a}nzel and Schubert [Gl{\"a}nzel, W., & Schubert, A. (1988a). Characteristic scores and scales in assessing citation impact. Journal of Information Science, 14(2), 123-127; Gl{\"a}nzel, 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.",
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