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An approach to interdisciplinarity through bibliometric indicators

Author

Listed:
  • Fernanda Morillo

    ((CINDOC) Consejo Superiorde Investigaciones Científicas (CSIC))

  • María Bordons

    ((CINDOC) Consejo Superiorde Investigaciones Científicas (CSIC))

  • Isabel Gómez

    ((CINDOC) Consejo Superiorde Investigaciones Científicas (CSIC))

Abstract

Interdisciplinarity has become of increasing interest in science in the past few years. Thispaper is a case study in the area of Chemistry, in which a series of different bibliometric indicatorsfor measuring interdisciplinarity are presented. The following indicators are analysed: a) ISI multiclassificationof journals in categories, b) patterns of citations and references outside category andc) multi-assignation of documents in Chemical Abstracts sections. Convergence between thedifferent indicators is studied. Depending on the size of the unit analysed (area, category orjournal) the most appropriate indicators are determined.

Suggested Citation

  • Fernanda Morillo & María Bordons & Isabel Gómez, 2001. "An approach to interdisciplinarity through bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 203-222, April.
    • Handle: RePEc:spr:scient:v:51:y:2001:i:1:d:10.1023_a:1010529114941
    DOI: 10.1023/A:1010529114941
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    References listed on IDEAS

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    1. Tijssen, Robert J. W., 1992. "A quantitative assessment of interdisciplinary structures in science and technology: Co-classification analysis of energy research," Research Policy, Elsevier, vol. 21(1), pages 27-44, February.
    2. Allan D. Pratt, 1977. "A measure of class concentration in bibliometrics," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 28(5), pages 285-292, September.
    3. Liwen Qiu, 1992. "A study of interdisciplinary research collaboration," Research Evaluation, Oxford University Press, vol. 2(3), pages 169-175, December.
    4. Jian Qin & F. W. Lancaster & Bryce Allen, 1997. "Types and levels of collaboration in interdisciplinary research in the sciences," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 48(10), pages 893-916, October.
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