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Indicators in a research institute: A multi-level classification of scientific journals

Author

Listed:
  • E. Bassecoulard

    (INRA)

  • M. Zitt

    (INRA
    Observatoire des Sciences et des Techniques (OST))

Abstract

Indicators in a research Institute ought to be readable at several decision levels, and particularly with different break-downs of the publication set chosen as reference. Citation transactions between journals have been widely used to structure scientific subfields in ISI databases. We tried a seed-free structuration of SCI/CMCI journals (a) to test convergence of pure citation-built specialties (roughly 150) on SCI/CMCI journals with existing classifications at the subfield level (b) to explore the interest and the limits of this approach for upper levels of aggregation (roughly 30 fields). A few limits of journal-level classification are addressed. At the subfield level, the convergence is large with some discrepancies worth noticing. At the subdiscipline level, the method is not sufficient to achieve a satisfactory 30-level delineation, but gives a good basis for informed expert validation.

Suggested Citation

  • E. Bassecoulard & M. Zitt, 1999. "Indicators in a research institute: A multi-level classification of scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(3), pages 323-345, March.
    • Handle: RePEc:spr:scient:v:44:y:1999:i:3:d:10.1007_bf02458483
    DOI: 10.1007/BF02458483
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    References listed on IDEAS

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    1. Mark P. Carpenter & Francis Narin, 1973. "Clustering of scientific journals," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(6), pages 425-436, November.
    2. Poovanalingam Murugesan & Michael J. Moravcsik, 1978. "Variation of the nature of citation measures with journals and scientific specialties," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 29(3), pages 141-147, May.
    3. Bourke, Paul & Butler, Linda, 1998. "Institutions and the map of science: matching university departments and fields of research," Research Policy, Elsevier, vol. 26(6), pages 711-718, February.
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    Citations

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    Cited by:

    1. C.M. Calero Medina & T.N. Leeuwen, 2012. "Seed journal citation network maps: A method based on network theory," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(6), pages 1226-1234, June.
    2. Zitt, Michel, 2010. "Citing-side normalization of journal impact: A robust variant of the Audience Factor," Journal of Informetrics, Elsevier, vol. 4(3), pages 392-406.
    3. Hakyeon Lee, 2015. "Uncovering the multidisciplinary nature of technology management: journal citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 51-75, January.
    4. Michel Zitt & Elise Bassecoulard & Yoshiko Okubo, 2000. "Shadows of the Past in International Cooperation: Collaboration Profiles of the Top Five Producers of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(3), pages 627-657, March.
    5. Francesco Giuliani & Michele Pio De Petris & Giovanni Nico, 2010. "Assessing scientific collaboration through coauthorship and content sharing," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 13-28, October.
    6. Lin Zhang & Frizo Janssens & Liming Liang & Wolfgang Glänzel, 2010. "Journal cross-citation analysis for validation and improvement of journal-based subject classification in bibliometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 687-706, March.
    7. Michel Zitt, 2015. "Meso-level retrieval: IR-bibliometrics interplay and hybrid citation-words methods in scientific fields delineation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2223-2245, March.
    8. Bart Thijs & Lin Zhang & Wolfgang Glänzel, 2015. "Bibliographic coupling and hierarchical clustering for the validation and improvement of subject-classification schemes," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1453-1467, December.
    9. Wang, Qi & Waltman, Ludo, 2016. "Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus," Journal of Informetrics, Elsevier, vol. 10(2), pages 347-364.
    10. Richard Klavans & Kevin W. Boyack, 2010. "Toward an objective, reliable and accurate method for measuring research leadership," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 539-553, March.

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