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Scaling rules in the science system: Influence of field‐specific citation characteristics on the impact of individual researchers

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  • Rodrigo Costas
  • Maria Bordons
  • Thed N. van Leeuwen
  • Anthony F.J. van Raan

Abstract

The representation of science as a citation density landscape and the study of scaling rules with the field‐specific citation density as a main topological property was previously analyzed at the level of research groups. Here, the focus is on the individual researcher. In this new analysis, the size dependence of several main bibliometric indicators for a large set of individual researchers is explored. Similar results as those previously observed for research groups are described for individual researchers. The total number of citations received by scientists increases in a cumulatively advantageous way as a function of size (in terms of number of publications) for researchers in three areas: Natural Resources, Biology & Biomedicine, and Materials Science. This effect is stronger for researchers in low citation density fields. Differences found among thematic areas with different citation densities are discussed.

Suggested Citation

  • Rodrigo Costas & Maria Bordons & Thed N. van Leeuwen & Anthony F.J. van Raan, 2009. "Scaling rules in the science system: Influence of field‐specific citation characteristics on the impact of individual researchers," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(4), pages 740-753, April.
    • Handle: RePEc:bla:jamist:v:60:y:2009:i:4:p:740-753
    DOI: 10.1002/asi.21017
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    Cited by:

    1. Abramo, Giovanni & D'Angelo, CiriacoAndrea & Di Costa, Flavia, 2024. "The moderating role of personal characteristics of authors in the publications’ quality for quantity trade-off," Journal of Informetrics, Elsevier, vol. 18(1).
    2. Yangping Zhou, 2021. "Self-citation and citation of top journal publishers and their interpretation in the journal-discipline context," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6013-6040, July.
    3. 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 Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(10), pages 1954-1962, October.
    4. Adrian Domenteanu & Bianca Cibu & Camelia Delcea, 2024. "Mapping the Research Landscape of Industry 5.0 from a Machine Learning and Big Data Analytics Perspective: A Bibliometric Approach," Sustainability, MDPI, vol. 16(7), pages 1-34, March.

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