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Definition and identification of journals as bibliographic and subject entities: Librarianship versus ISI Journal Citation Reports methods and their effect on citation measures

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  • Stephen J. Bensman
  • Loet Leydesdorff

Abstract

This paper explores the ISI Journal Citation Reports (JCR) bibliographic and subject structures through Library of Congress (LC) and American research libraries cataloging and classification methodology. The 2006 Science Citation Index JCR Behavioral Sciences subject category journals are used as an example. From the library perspective, the main fault of the JCR bibliographic structure is that the JCR mistakenly identifies journal title segments as journal bibliographic entities, seriously affecting journal rankings by total cites and the impact factor. In respect to JCR subject structure, the title segment, which constitutes the JCR bibliographic basis, is posited as the best bibliographic entity for the citation measurement of journal subject relationships. Through factor analysis and other methods, the JCR subject categorization of journals is tested against their LC subject headings and classification. The finding is that JCR and library journal subject analyses corroborate, clarify, and correct each other.

Suggested Citation

  • Stephen J. Bensman & Loet Leydesdorff, 2009. "Definition and identification of journals as bibliographic and subject entities: Librarianship versus ISI Journal Citation Reports methods and their effect on citation measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(6), pages 1097-1117, June.
    • Handle: RePEc:bla:jamist:v:60:y:2009:i:6:p:1097-1117
    DOI: 10.1002/asi.21020
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    Citations

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    Cited by:

    1. Loet Leydesdorff, 2012. "Alternatives to the journal impact factor: I3 and the top-10% (or top-25%?) of the most-highly cited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 355-365, August.
    2. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    3. Zahed Bigdeli & Morteza Kokabi & Gholam Reza Rajabi & Ali Gazni, 2013. "Patterns of authors’ information scattering: towards a causal explanation of information scattering from a scholarly information-seeking behavior perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 103-131, July.
    4. Opthof, Tobias & Leydesdorff, Loet, 2010. "Caveats for the journal and field normalizations in the CWTS (“Leiden”) evaluations of research performance," Journal of Informetrics, Elsevier, vol. 4(3), pages 423-430.
    5. Xie, Yundong & Wu, Qiang & Zhang, Peng & Li, Xingchen, 2020. "Information Science and Library Science (IS-LS) journal subject categorisation and comparison based on editorship information," Journal of Informetrics, Elsevier, vol. 14(4).
    6. Tahamtan, Iman & Bornmann, Lutz, 2018. "Creativity in science and the link to cited references: Is the creative potential of papers reflected in their cited references?," Journal of Informetrics, Elsevier, vol. 12(3), pages 906-930.
    7. Campanario, Juan Miguel, 2014. "Analysis of the distribution of cited journals according to their positions in the h-core of citing journal listed in Journal Citation Reports," Journal of Informetrics, Elsevier, vol. 8(3), pages 534-545.
    8. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    9. Loet Leydesdorff & Lutz Bornmann & Caroline S. Wagner, 2017. "Generating clustered journal maps: an automated system for hierarchical classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1601-1614, March.
    10. Roland Barthel & Roman Seidl, 2017. "Interdisciplinary Collaboration between Natural and Social Sciences – Status and Trends Exemplified in Groundwater Research," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-27, January.
    11. María del Carmen Calatrava Moreno & Thomas Auzinger & Hannes Werthner, 2016. "On the uncertainty of interdisciplinarity measurements due to incomplete bibliographic data," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 213-232, April.
    12. Mu-hsuan Huang & Wang-Ching Shaw & Chi-Shiou Lin, 2019. "One category, two communities: subfield differences in “Information Science and Library Science” in Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1059-1079, May.
    13. Jonas Hauke & Iris Lorscheid & Matthias Meyer, 2017. "Recent Development of Social Simulation as Reflected in JASSS Between 2008 and 2014: A Citation and Co-Citation Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-5.
    14. Ismael Rafols & Alan Porter & Loet Leydesdorff, 2009. "Overlay Maps of Science: a New Tool for Research Policy," SPRU Working Paper Series 179, SPRU - Science Policy Research Unit, University of Sussex Business School.
    15. Stephen J. Bensman, 2012. "The impact factor: its place in Garfield’s thought, in science evaluation, and in library collection management," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 263-275, August.

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