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Mapping scientific institutions

Author

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  • Sebastian Grauwin

    (Université de Lyon
    Institut des Systèmes Complexes Rhône-Alpes (IXXI)
    Laboratoire de Physique, École Normale Supérieure de Lyon and UMR CNRS 5672)

  • Pablo Jensen

    (Université de Lyon
    Institut des Systèmes Complexes Rhône-Alpes (IXXI)
    Laboratoire de Physique, École Normale Supérieure de Lyon and UMR CNRS 5672
    Université Lyon 2 and UMR CNRS 5593)

Abstract

We have developed a set of routines that allows to draw easily different maps of the research carried out in a scientific institution. Our toolkit uses OpenSource elements to analyze bibliometric data gathered from the Web Of Science. We take the example of our institution, ENS de Lyon, to show how different maps, using co-occurrence (of authors, keywords, institutions…) and bibliographic coupling can be built. These maps may become a valuable tool for discussing institutions’ policies, as they offer different views on the institution at a global scale.

Suggested Citation

  • Sebastian Grauwin & Pablo Jensen, 2011. "Mapping scientific institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 943-954, December.
    • Handle: RePEc:spr:scient:v:89:y:2011:i:3:d:10.1007_s11192-011-0482-y
    DOI: 10.1007/s11192-011-0482-y
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    References listed on IDEAS

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    1. Loet Leydesdorff & Olle Persson, 2010. "Mapping the geography of science: Distribution patterns and networks of relations among cities and institutes," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(8), pages 1622-1634, August.
    2. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    3. M.J. Cobo & A.G. López-Herrera & E. Herrera-Viedma & F. Herrera, 2011. "Science mapping software tools: Review, analysis, and cooperative study among tools," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(7), pages 1382-1402, July.
    4. David Roessner, 2000. "Quantitative and qualitative methods and measures in the evaluation of research," Research Evaluation, Oxford University Press, vol. 9(2), pages 125-132, August.
    5. Henry Small, 1999. "Visualizing science by citation mapping," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(9), pages 799-813.
    6. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    7. Ismael Rafols & Alan L. Porter & Loet Leydesdorff, 2010. "Science overlay maps: A new tool for research policy and library management," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(9), pages 1871-1887, September.
    8. Loet Leydesdorff & Ismael Rafols, 2009. "A global map of science based on the ISI subject categories," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 348-362, February.
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    Cited by:

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