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Characterizing a scientific elite: the social characteristics of the most highly cited scientists in environmental science and ecology

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Listed:
  • John N. Parker

    (University of California, Santa Barbara)

  • Christopher Lortie

    (York University)

  • Stefano Allesina

    (University of Chicago)

Abstract

In science, a relatively small pool of researchers garners a disproportionally large number of citations. Still, very little is known about the social characteristics of highly cited scientists. This is unfortunate as these researchers wield a disproportional impact on their fields, and the study of highly cited scientists can enhance our understanding of the conditions which foster highly cited work, the systematic social inequalities which exist in science, and scientific careers more generally. This study provides information on this understudied subject by examining the social characteristics and opinions of the 0.1% most cited environmental scientists and ecologists. Overall, the social characteristics of these researchers tend to reflect broader patterns of inequality in the global scientific community. However, while the social characteristics of these researchers mirror those of other scientific elites in important ways, they differ in others, revealing findings which are both novel and surprising, perhaps indicating multiple pathways to becoming highly cited.

Suggested Citation

  • John N. Parker & Christopher Lortie & Stefano Allesina, 2010. "Characterizing a scientific elite: the social characteristics of the most highly cited scientists in environmental science and ecology," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 129-143, October.
  • Handle: RePEc:spr:scient:v:85:y:2010:i:1:d:10.1007_s11192-010-0234-4
    DOI: 10.1007/s11192-010-0234-4
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    References listed on IDEAS

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    1. Christine Wennerås & Agnes Wold, 1997. "Nepotism and sexism in peer-review," Nature, Nature, vol. 387(6631), pages 341-343, May.
    2. Henry Small, 2004. "Why authors think their papers are highly cited," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 305-316, August.
    3. Gerard Pasterkamp & Joris I. Rotmans & Dominique V. P. Kleijn & Cornelius Borst, 2007. "Citation frequency: A biased measure of research impact significantly influenced by the geographical origin of research articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 153-165, January.
    4. Aparna Basu, 2006. "Using ISI's 'Highly Cited Researchers' to obtain a country level indicator of citation excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 361-375, September.
    5. Dag W. Aksnes, 2006. "Citation rates and perceptions of scientific contribution," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(2), pages 169-185, January.
    6. Joseph C. Hermanowicz, 2005. "Classifying Universities and Their Departments: A Social World Perspective," The Journal of Higher Education, Taylor & Francis Journals, vol. 76(1), pages 26-55, January.
    7. Michael Batty, 2003. "The Geography of Scientific Citation," Environment and Planning A, , vol. 35(5), pages 761-765, May.
    8. Matthew RE Symonds & Neil J Gemmell & Tamsin L Braisher & Kylie L Gorringe & Mark A Elgar, 2006. "Gender Differences in Publication Output: Towards an Unbiased Metric of Research Performance," PLOS ONE, Public Library of Science, vol. 1(1), pages 1-5, December.
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    Cited by:

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    3. Wagner, Caroline S. & Whetsell, Travis A. & Mukherjee, Satyam, 2019. "International research collaboration: Novelty, conventionality, and atypicality in knowledge recombination," Research Policy, Elsevier, vol. 48(5), pages 1260-1270.

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