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Interdisciplinarity and the intellectual base of literature studies: citation analysis of highly cited monographs

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  • Björn Hammarfelt

    (Uppsala University)

Abstract

This article studies interdisciplinarity and the intellectual base of 34 literature journals using citation data from Web of Science. Data from two time periods, 1978–1987 and 1998–2007 were compared to reveal changes in the interdisciplinary citing of monographs. The study extends the analysis to non-source publications; using the classification of monographs to show changes in the intellectual base. There is support for increased interdisciplinary citing of sources, especially to the social sciences, and changes in the intellectual base reflect this. The results are explained using theories on the intellectual and social organization of scientific fields and the use of bibliometric methods on the humanities is discussed. The article demonstrates how citation analysis can provide insights into the communication patterns and intellectual structure of scholarly fields in the arts and humanities.

Suggested Citation

  • Björn Hammarfelt, 2011. "Interdisciplinarity and the intellectual base of literature studies: citation analysis of highly cited monographs," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 705-725, March.
    • Handle: RePEc:spr:scient:v:86:y:2011:i:3:d:10.1007_s11192-010-0314-5
    DOI: 10.1007/s11192-010-0314-5
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    1. Loet Leydesdorff & Alkim Almila Akdag Salah, 2010. "Maps on the basis of the Arts & Humanities Citation Index: The journals Leonardo and Art Journal versus “digital humanities” as a topic," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(4), pages 787-801, April.
    2. Anthony F. J. van Raan, 2004. "Sleeping Beauties in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 467-472, March.
    3. Henry Small, 2010. "Maps of science as interdisciplinary discourse: co-citation contexts and the role of analogy," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 835-849, June.
    4. Éric Archambault & Étienne Vignola-Gagné & Grégoire Côté & Vincent Larivière & Yves Gingrasb, 2006. "Benchmarking scientific output in the social sciences and humanities: The limits of existing databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 329-342, September.
    5. Jordi Ardanuy & Cristóbal Urbano & Lluís Quintana, 2009. "A citation analysis of Catalan literary studies (1974–2003): Towards a bibliometrics of humanities studies in minority languages," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 347-366, November.
    6. A. J. M. Linmans, 2010. "Why with bibliometrics the Humanities does not need to be the weakest link," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 337-354, May.
    7. Linda Butler & Martijn S. Visser, 2006. "Extending citation analysis to non-source items," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 327-343, February.
    8. Björn Hellqvist, 2010. "Referencing in the humanities and its implications for citation analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(2), pages 310-318, February.
    9. Björn Hellqvist, 2010. "Referencing in the humanities and its implications for citation analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(2), pages 310-318, February.
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