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Applying bibliometric mapping in a high level science policy context

Author

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  • Ed C. M. Noyons

    (Leiden University)

  • Clara Calero-Medina

    (Leiden University)

Abstract

Bibliometric maps have the potential to become useful tools for science policy issues. The complexity of the structures, however, makes it often very difficult to interpret the results. In this study, we present a case study in which we use the bibliometric mapping results to address a high level science policy issue of research efficiency. By revealing the results in an alternative way, we increased the utility of bibliometric mapping within the science policy context. Moreover, by including additional information to the entities in the landscape, we provide useful input for the research potential.

Suggested Citation

  • Ed C. M. Noyons & Clara Calero-Medina, 2009. "Applying bibliometric mapping in a high level science policy context," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 261-275, May.
  • Handle: RePEc:spr:scient:v:79:y:2009:i:2:d:10.1007_s11192-009-0417-z
    DOI: 10.1007/s11192-009-0417-z
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    References listed on IDEAS

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    1. Clara Calero & Renald Buter & Cecilia Cabello Valdés & Ed Noyons, 2006. "How to identify research groups using publication analysis: an example in the field of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 365-376, February.
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    Cited by:

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    2. Boyack, Kevin W. & Klavans, Richard, 2014. "Including cited non-source items in a large-scale map of science: What difference does it make?," Journal of Informetrics, Elsevier, vol. 8(3), pages 569-580.
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    5. Carusi, Chiara & Bianchi, Giuseppe, 2019. "Scientific community detection via bipartite scholar/journal graph co-clustering," Journal of Informetrics, Elsevier, vol. 13(1), pages 354-386.
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    7. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
    8. Franc Mali, 2013. "Why an Unbiased External R&D Evaluation System is Important for the Progress of Social Sciences—the Case of a Small Social Science Community," Social Sciences, MDPI, vol. 2(4), pages 1-14, December.
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