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Characteristics of highly cited researchers 2015 in Germany

Author

Listed:
  • Lutz Bornmann

    (Administrative Headquarters of the Max Planck Society)

  • Johann Bauer

    (Max Planck Institute of Biochemistry)

  • Elisabeth Maria Schlagberger

    (Max Planck Institute of Biochemistry)

Abstract

A few years ago Clarivate Analytics (formerly Thomson Reuters, provider of the Web of Science database) started evaluating publications in the sciences and social sciences with a view to identifying international highly-cited researchers (HCR) over a publication period of around 10 years. This Letter to the Editor presents the findings of a small study involving the analyses of some personal data (e.g. academic title) relating to the HCR 2015.

Suggested Citation

  • Lutz Bornmann & Johann Bauer & Elisabeth Maria Schlagberger, 2017. "Characteristics of highly cited researchers 2015 in Germany," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 543-545, April.
    • Handle: RePEc:spr:scient:v:111:y:2017:i:1:d:10.1007_s11192-017-2248-7
    DOI: 10.1007/s11192-017-2248-7
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    References listed on IDEAS

    as
    1. John T. Li, 2016. "What we learn from the shifts in highly cited data from 2001 to 2014?," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 57-82, July.
    2. Lutz Bornmann & Johann Bauer, 2015. "Which of the world's institutions employ the most highly cited researchers? An analysis of the data from highlycited.com," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2146-2148, October.
    3. Lutz Bornmann & Johann Bauer & Robin Haunschild, 2015. "Distribution of women and men among highly cited scientists," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(12), pages 2715-2716, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Domingo Docampo & Lawrence Cram, 2019. "Highly cited researchers: a moving target," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1011-1025, March.
    2. Yitong Chen & Keye Wu & Yue Li & Jianjun Sun, 2023. "Impacts of inter-institutional mobility on scientific performance from research capital and social capital perspectives," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3473-3506, June.
    3. Lauranne Chaignon & Domingo Docampo & Daniel Egret, 2023. "In search of a scientific elite: highly cited researchers (HCR) in France," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5801-5827, October.
    4. Xinyi Chen, 2023. "Does cross-field influence regional and field-specific distributions of highly cited researchers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 825-840, January.

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