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Automatic term identification for bibliometric mapping

Author

Listed:
  • Nees Jan Eck

    (Erasmus University Rotterdam
    Leiden University)

  • Ludo Waltman

    (Erasmus University Rotterdam
    Leiden University)

  • Ed C. M. Noyons

    (Leiden University)

  • Reindert K. Buter

    (Leiden University)

Abstract

A term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subjective and labor-intensive. To overcome these disadvantages, we propose a methodology for automatic term identification and we use this methodology to select the terms to be included in a term map. To evaluate the proposed methodology, we use it to construct a term map of the field of operations research. The quality of the map is assessed by a number of operations research experts. It turns out that in general the proposed methodology performs quite well.

Suggested Citation

  • Nees Jan Eck & Ludo Waltman & Ed C. M. Noyons & Reindert K. Buter, 2010. "Automatic term identification for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 581-596, March.
    • Handle: RePEc:spr:scient:v:82:y:2010:i:3:d:10.1007_s11192-010-0173-0
    DOI: 10.1007/s11192-010-0173-0
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    References listed on IDEAS

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    5. Hajime Eto, 2000. "Authorship and Citation Patterns in Operational Research Journals in Relation to Competition and Reform," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(1), pages 25-42, January.
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