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Bibliometric mapping of science in a policy context

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  • Ed Noyons

    (Universiteit Leiden)

Abstract

Despite the promising introduction of bibliometric maps of science in a science policy context in the nineteen seventies, they have not been very successful yet. It seems, however, that only now they are becoming acknowledged as a useful tool. This is mainly due to the developments and integration of hypertext and graphical interfaces. Because of this, the strength of such navigation tools becomes obvious. The communication through the Internet enables the field expert (as a kind of peer review) as well as the user (from a science policy context) to contribute to the quality of the map and the interface. Moreover, the interface can provide suggestions to answer policy-related question, which is the initial purpose of such maps.

Suggested Citation

  • Ed Noyons, 2001. "Bibliometric mapping of science in a policy context," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(1), pages 83-98, January.
  • Handle: RePEc:spr:scient:v:50:y:2001:i:1:d:10.1023_a:1005694202977
    DOI: 10.1023/A:1005694202977
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    References listed on IDEAS

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    1. E.C.M. Noyons & H.F. Moed & M. Luwel, 1999. "Combining mapping and citation analysis for evaluative bibliometric purposes: A bibliometric study," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(2), pages 115-131.
    2. E. C. M. Noyons & A. F. J. van Raan, 1998. "Monitoring scientific developments from a dynamic perspective: Self‐organized structuring to map neural network research," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(1), pages 68-81.
    3. Xia Lin, 1997. "Map displays for information retrieval," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 48(1), pages 40-54, January.
    4. Healey, Peter & Rothman, Harry & Hoch, Paul K., 1986. "An experiment in science mapping for research planning," Research Policy, Elsevier, vol. 15(5), pages 233-251, October.
    5. Hsinchun Chen & Joanne Martinez & Amy Kirchhoff & Tobun D. Ng & Bruce R. Schatz, 1998. "Alleviating search uncertainty through concept associations: Automatic indexing, co‐occurrence analysis, and parallel computing," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(3), pages 206-216, March.
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