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Which are the best performing regions in information science in terms of highly cited papers? Some improvements of our previous mapping approaches

Author

Listed:
  • Bornmann, Lutz
  • Leydesdorff, Loet

Abstract

Bornmann and Leydesdorff (2011) proposed methods based on Web of Science data to identify field-specific excellence in cities where highly cited papers were published more frequently than can be expected. Top performers in output are cities in which authors are located who publish a number of highly cited papers that is statistically significantly higher than can be expected for these cities. Using papers published between 1989 and 2009 in information science improvements to the methods of Bornmann and Leydesdorff (2011) are presented and an alternative mapping approach based on the Integrated Impact Indicator (I3) is introduced here. The I3 indicator was developed by Leydesdorff and Bornmann (2011b).

Suggested Citation

  • 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.
  • Handle: RePEc:eee:infome:v:6:y:2012:i:2:p:336-345
    DOI: 10.1016/j.joi.2011.11.002
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    File URL: http://www.sciencedirect.com/science/article/pii/S1751157711001015
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Loet Leydesdorff & Lutz Bornmann, 2011. "How fractional counting of citations affects the impact factor: Normalization in terms of differences in citation potentials among fields of science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(2), pages 217-229, February.
    4. repec:ags:stataj:166272 is not listed on IDEAS
    5. Adam Ozimek & Daniel Miles, 2011. "Stata utilities for geocoding and generating travel time and travel distance information," Stata Journal, StataCorp LP, vol. 11(1), pages 106-119, March.
    6. Bornmann, Lutz & Waltman, Ludo, 2011. "The detection of “hot regions” in the geography of science—A visualization approach by using density maps," Journal of Informetrics, Elsevier, vol. 5(4), pages 547-553.
    7. Lutz Bornmann & Loet Leydesdorff, 2011. "Which cities produce more excellent papers than can be expected? A new mapping approach, using Google Maps, based on statistical significance testing," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1954-1962, October.
    8. Loet Leydesdorff & Lutz Bornmann, 2011. "Integrated impact indicators compared with impact factors: An alternative research design with policy implications," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(11), pages 2133-2146, November.
    9. Lutz Bornmann & Rüdiger Mutz & Werner Marx & Hermann Schier & Hans‐Dieter Daniel, 2011. "A multilevel modelling approach to investigating the predictive validity of editorial decisions: do the editors of a high profile journal select manuscripts that are highly cited after publication?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(4), pages 857-879, October.
    10. Moed, Henk F., 2010. "Measuring contextual citation impact of scientific journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 265-277.
    11. Opthof, Tobias & Leydesdorff, Loet, 2010. "Caveats for the journal and field normalizations in the CWTS (“Leiden”) evaluations of research performance," Journal of Informetrics, Elsevier, vol. 4(3), pages 423-430.
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    Citations

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    Cited by:

    1. Wang, Mingyang & Yu, Guang & Xu, Jianzhong & He, Huixin & Yu, Daren & An, Shuang, 2012. "Development a case-based classifier for predicting highly cited papers," Journal of Informetrics, Elsevier, vol. 6(4), pages 586-599.
    2. repec:spr:scient:v:99:y:2014:i:2:d:10.1007_s11192-014-1232-8 is not listed on IDEAS
    3. repec:eee:infome:v:12:y:2018:i:2:p:547-566 is not listed on IDEAS
    4. repec:spr:scient:v:95:y:2013:i:1:d:10.1007_s11192-012-0875-6 is not listed on IDEAS
    5. repec:spr:scient:v:97:y:2013:i:3:d:10.1007_s11192-013-0985-9 is not listed on IDEAS
    6. repec:spr:scient:v:112:y:2017:i:3:d:10.1007_s11192-017-2433-8 is not listed on IDEAS

    More about this item

    Keywords

    Scientific excellence; Highly cited papers; I3; Geography of science; Spatial scientometrics; Google map;

    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty

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