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Integrating Scientometric Indicators into Sociological Studies: Methodical and Methodological Problems

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  • Jochen Gläser

    (Australian National University)

  • Grit Laudel

    (Australian National University)

Abstract

This article discusses the methodological problems of integrating scientometric methods into a qualitative study. Integrative attempts of this kind are poorly supported by the methodologies of both the sociology of science and scientometrics. Therefore it was necessary to develop a project-specific methodological approach that linked scientometric methods to theoretical considerations. The methodological approach is presented and used to discuss general methodological problems concerning the relation between (qualitative) theory and scientometric methods. This discussion enables some conclusions to be drawn as to the relations that exist between scientometrics and the sociology of science.

Suggested Citation

  • Jochen Gläser & Grit Laudel, 2001. "Integrating Scientometric Indicators into Sociological Studies: Methodical and Methodological Problems," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(3), pages 411-434, November.
    • Handle: RePEc:spr:scient:v:52:y:2001:i:3:d:10.1023_a:1014243832084
    DOI: 10.1023/A:1014243832084
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    References listed on IDEAS

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    1. L. Leydesdorff & P. Wouters, 1999. "Between texts and contexts: Advances in theories of citation? (A rejoinder)," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(2), pages 169-182, February.
    2. Gläser, Jochen & Meske, Werner, 1996. "Anwendungsorientierung von Grundlagenforschung? Erfahrungen der Akademie der Wissenschaften der DDR," Schriften aus dem Max-Planck-Institut für Gesellschaftsforschung Köln, Max Planck Institute for the Study of Societies, volume 25, number 25.
    3. J. Rey-Rocha & M. J. Martín-Sempere, 1999. "The role of domestic journals in geographically-oriented disciplines: The case of Spanish journals on earth sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 45(2), pages 203-216, June.
    4. Peter van den Besselaar, 2000. "Communication between Science and Technology Studies Journals: A Case Study in Differentiation and Integration in Scientific Fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(2), pages 169-193, February.
    5. Charles Oppenheim & Susan P. Renn, 1978. "Highly cited old papers and the reasons why they continue to be cited," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 29(5), pages 225-231, September.
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    Cited by:

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    4. Valeria Aman, 2018. "A new bibliometric approach to measure knowledge transfer of internationally mobile scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 227-247, October.
    5. Gaston Heimeriks & Marianne Hörlesberger & Peter Van Den Besselaar, 2003. "Mapping communication and collaboration in heterogeneous research networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 391-413, October.
    6. Dag W. Aksnes & Liv Langfeldt & Paul Wouters, 2019. "Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories," SAGE Open, , vol. 9(1), pages 21582440198, February.
    7. Inés M. Fernández-Guerrero & Zoraida Callejas & David Griol & Antonio Fernández-Cano, 2020. "Longitudinal patterns in Spanish doctoral theses on scientific medical information: a tertiary study," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1241-1260, August.
    8. Valeria Aman, 2022. "Internationally mobile scientists as knowledge transmitters: A lexical‐based approach to detect knowledge transfer," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(10), pages 1418-1431, October.

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