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Mapping excellence in the geography of science: An approach based on Scopus data

Author

Listed:
  • Bornmann, Lutz
  • Leydesdorff, Loet
  • Walch-Solimena, Christiane
  • Ettl, Christoph

Abstract

As research becomes an ever more globalized activity, there is growing interest in national and international comparisons of standards and quality in different countries and regions. A sign for this trend is the increasing interest in rankings of universities according to their research performance, both inside but also outside the scientific environment. New methods presented in this paper, enable us to map centers of excellence around the world using programs that are freely available. Based on Scopus data, field-specific excellence can be identified and agglomerated in regions and cities where recently highly cited papers were published. Differences in performance rates can be visualized on the map using colours and sizes of the marks.

Suggested Citation

  • Bornmann, Lutz & Leydesdorff, Loet & Walch-Solimena, Christiane & Ettl, Christoph, 2011. "Mapping excellence in the geography of science: An approach based on Scopus data," Journal of Informetrics, Elsevier, vol. 5(4), pages 537-546.
  • Handle: RePEc:eee:infome:v:5:y:2011:i:4:p:537-546
    DOI: 10.1016/j.joi.2011.05.005
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    File URL: http://www.sciencedirect.com/science/article/pii/S1751157711000617
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    References listed on IDEAS

    as
    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. Christian n Wichmann Matthiessen & Annette Winkel Schwarz, 1999. "Scientific Centres in Europe: An Analysis of Research Strength and Patterns of Specialisation Based on Bibliometric Indicators," Urban Studies, Urban Studies Journal Limited, vol. 36(3), pages 453-477, March.
    3. Loet Leydesdorff & Tobias Opthof, 2011. "Scopus' SNIP indicator: Reply to Moed," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(1), pages 214-215, January.
    4. repec:sae:envira:v:35:y:2003:i:5:p:761-765 is not listed on IDEAS
    5. Rickard Danell, 2011. "Can the quality of scientific work be predicted using information on the author's track record?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(1), pages 50-60, January.
    6. Frenken, Koen & Hardeman, Sjoerd & Hoekman, Jarno, 2009. "Spatial scientometrics: Towards a cumulative research program," Journal of Informetrics, Elsevier, vol. 3(3), pages 222-232.
    7. Christian Wichmann Matthiessen & Annette Winkel Schwarz & Søren Find, 2002. "The Top-level Global Research System, 1997-99: Centres, Networks and Nodality. An Analysis Based on Bibliometric Indicators," Urban Studies, Urban Studies Journal Limited, vol. 39(5-6), pages 903-927, May.
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    Citations

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    Cited by:

    1. Per Ahlgren & Olle Persson & Robert Tijssen, 2013. "Geographical distance in bibliometric relations within epistemic communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 771-784, May.
    2. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2014. "Assessing national strengths and weaknesses in research fields," Journal of Informetrics, Elsevier, vol. 8(3), pages 766-775.
    3. Houcemeddine Turki & Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha & Ajith Abraham, 2020. "Nature or Science: what Google Trends says," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1367-1385, August.
    4. Csomós, György, 2018. "Reprint of “A spatial scientometric analysis of the publication output of cities worldwide”," Journal of Informetrics, Elsevier, vol. 12(2), pages 547-566.
    5. Copiello, Sergio, 2019. "Peer and neighborhood effects: Citation analysis using a spatial autoregressive model and pseudo-spatial data," Journal of Informetrics, Elsevier, vol. 13(1), pages 238-254.
    6. Maisonobe, Marion & Eckert, Denis & Grossetti, Michel & Jégou, Laurent & Milard, Béatrice, 2016. "The world network of scientific collaborations between cities: domestic or international dynamics?," Journal of Informetrics, Elsevier, vol. 10(4), pages 1025-1036.
    7. Houcemeddine Turki & Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha & Ajith Abraham, 0. "Nature or Science: what Google Trends says," Scientometrics, Springer;Akadémiai Kiadó, vol. 0, pages 1-19.
    8. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2020. "A novel methodology to assess the scientific standing of nations at field level," Journal of Informetrics, Elsevier, vol. 14(1).
    9. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    10. Bornmann, Lutz & Ozimek, Adam, 2012. "Stata commands for importing bibliometric data and processing author address information," Journal of Informetrics, Elsevier, vol. 6(4), pages 505-512.
    11. Bornmann, Lutz & Stefaner, Moritz & de Moya Anegón, Felix & Mutz, Rüdiger, 2014. "What is the effect of country-specific characteristics on the research performance of scientific institutions? Using multi-level statistical models to rank and map universities and research-focused in," Journal of Informetrics, Elsevier, vol. 8(3), pages 581-593.
    12. Marlene K. Kirchner & Ľubor Košťál & Boris Bilčík & Christoph Winckler, 2017. "Mapping farm animal welfare research in an enlarged Europe: international collaboration, bibliometric output, research resources and relation to economic indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 909-922, November.
    13. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2015. "A methodology to compute the territorial productivity of scientists: The case of Italy," Journal of Informetrics, Elsevier, vol. 9(4), pages 675-685.
    14. Bornmann, Lutz & Leydesdorff, Loet, 2012. "Which are the best performing regions in information science in terms of highly cited papers? Some improvements of our previous mapping approaches," Journal of Informetrics, Elsevier, vol. 6(2), pages 336-345.
    15. Marcin Kozak & Lutz Bornmann & Loet Leydesdorff, 2015. "How have the Eastern European countries of the former Warsaw Pact developed since 1990? A bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1101-1117, February.
    16. Maria Karaulova & Abdullah Gök & Oliver Shackleton & Philip Shapira, 2016. "Science system path-dependencies and their influences: nanotechnology research in Russia," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 645-670, May.
    17. Zhigang Hu & Fangqi Guo & Haiyan Hou, 2017. "Mapping research spotlights for different regions in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 779-790, February.
    18. Djuro Kutlača & Dragan Babić & Lazar Živković & Dijana Štrbac, 2015. "Analysis of quantitative and qualitative indicators of SEE countries scientific output," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 247-265, January.
    19. Loet Leydesdorff & Floortje Alkemade & Gaston Heimeriks & Rinke Hoekstra, 2015. "Patents as instruments for exploring innovation dynamics: geographic and technological perspectives on “photovoltaic cells”," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 629-651, January.

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