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Characterizing a scientific elite (B): publication and citation patterns of the most highly cited scientists in environmental science and ecology

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Listed:
  • John N. Parker

    (Arizona State University)

  • Stefano Allesina

    (University of Chicago)

  • Christopher J. Lortie

    (York University)

Abstract

Science is principally driven by the efforts of a vanishingly small fraction of researchers publishing the majority of scientific research and garnering the majority of citations. Despite this well-established trend, knowledge of exactly how many articles these researchers publish, how highly they are cited, and how they achieved their distinctive accomplishments is meager. This article examines the publication and citation patterns of the world’s most highly cited environmental scientists and ecologists, inquiring into their levels of scientific productivity and visibility, examining relationships between scientific productivity and quality within their research programs, and considering how different publication strategies contribute to these distinctive successes. Generally speaking, highly cited researchers are also highly productive, publishing on average well over 100 articles each. Furthermore, articles published by this group are more highly cited on average than articles published in premier generalist journal like Nature and Science, and their citation to publication ratios are more equitably distributed than is typical. Research specialization and primacy of authorship are important determinants of citation frequency, while geographic differences and collaborative propensity matter less. The article closes with a set of suggestions for those wishing to increase the use of their research by the scientific community.

Suggested Citation

  • John N. Parker & Stefano Allesina & Christopher J. Lortie, 2013. "Characterizing a scientific elite (B): publication and citation patterns of the most highly cited scientists in environmental science and ecology," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 469-480, February.
    • Handle: RePEc:spr:scient:v:94:y:2013:i:2:d:10.1007_s11192-012-0859-6
    DOI: 10.1007/s11192-012-0859-6
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    References listed on IDEAS

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    1. Glenn D. Walters, 2006. "Predicting subsequent citations to articles published in twelve crime-psychology journals: Author impact versus journal impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(3), pages 499-510, December.
    2. André Andrian Padial & João Carlos Nabout & Tadeu Siqueira & Luis Mauricio Bini & José Alexandre Felizola Diniz-Filho, 2010. "Weak evidence for determinants of citation frequency in ecological articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 1-12, October.
    3. 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.
    4. Michael Batty, 2003. "The Geography of Scientific Citation," Environment and Planning A, , vol. 35(5), pages 761-765, May.
    5. Ronald N. Kostoff, 2007. "The difference between highly and poorly cited medical articles in the journal Lancet," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 513-520, September.
    6. Francis Collins, 2010. "Scientists need a shorter path to research freedom," Nature, Nature, vol. 467(7316), pages 635-635, October.
    7. Per O. Seglen, 1992. "The skewness of science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(9), pages 628-638, October.
    8. Levin, Sharon G & Stephan, Paula E, 1991. "Research Productivity over the Life Cycle: Evidence for Academic Scientists," American Economic Review, American Economic Association, vol. 81(1), pages 114-132, March.
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    Cited by:

    1. Belkhouja, Mustapha & Fattoum, Senda & Yoon, Hyungseok (David), 2021. "Does greater diversification increase individual productivity? The moderating effect of attention allocation," Research Policy, Elsevier, vol. 50(6).
    2. Belkhouja, Mustapha & Yoon, Hyungseok (David), 2018. "How does openness influence the impact of a scholar’s research? An analysis of business scholars’ citations over their careers," Research Policy, Elsevier, vol. 47(10), pages 2037-2047.
    3. Bornmann, Lutz & Williams, Richard, 2017. "Can the journal impact factor be used as a criterion for the selection of junior researchers? A large-scale empirical study based on ResearcherID data," Journal of Informetrics, Elsevier, vol. 11(3), pages 788-799.

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