IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v129y2024i11d10.1007_s11192-024-05151-8.html
   My bibliography  Save this article

Mapping the paths of highly cited researchers: a comprehensive look at the 2023 cross-field distribution

Author

Listed:
  • Daniel Egret

    (Université PSL)

  • Lauranne Chaignon

    (Université PSL
    Université PSL)

  • Domingo Docampo

    (Universidade de Vigo)

Abstract

The Highly Cited Researchers (HCR) are the subject of an annual list published by a commercial company that garners interest from universities worldwide. The list features 21 disciplinary categories under which HCR researchers are classified and a cross-field category that highlights individuals who publish papers with high citations in multiple disciplines. Unfortunately, the published Cross-Field list lacks data that would allow for a proper assessment of the distribution among different disciplines and analysis of their thematic similarities, as Klein and Kranke (Scientometrics 128: 6773–6780, 2023. https://doi.org/10.1007/s11192-023-04852-w ) recently noted. To address this shortcoming, we searched for the highly cited papers (Top 1%) authored by the approximately 3300 Cross-Field researchers on the 2023 list. We present their distribution across disciplines and use principal component analysis to demonstrate the associations between ESI Fields in the clustering of the Cross-Field Highly Cited Researchers. The study shows that cross-field researchers demonstrate the same citation levels to their highly cited papers as members of the HCR list in specific ESI areas. In contrast, they demonstrate lower levels of collaboration in producing highly cited papers. We have also documented striking differences among ESI disciplines in balancing the short- and long-term impact of the highly cited papers associated with HCRs, regardless of whether researchers belong to ESI categories or cross-field.

Suggested Citation

  • Daniel Egret & Lauranne Chaignon & Domingo Docampo, 2024. "Mapping the paths of highly cited researchers: a comprehensive look at the 2023 cross-field distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 7107-7129, November.
    • Handle: RePEc:spr:scient:v:129:y:2024:i:11:d:10.1007_s11192-024-05151-8
    DOI: 10.1007/s11192-024-05151-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-024-05151-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-024-05151-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Domingo Docampo & Lawrence Cram, 2019. "Highly cited researchers: a moving target," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1011-1025, March.
    3. Shir Aviv-Reuven & Ariel Rosenfeld, 2023. "A logical set theory approach to journal subject classification analysis: intra-system irregularities and inter-system discrepancies in Web of Science and Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 157-175, January.
    4. Alan L. Porter & Ismael Rafols, 2009. "Is science becoming more interdisciplinary? Measuring and mapping six research fields over time," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 719-745, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stephen Carley & Alan L. Porter, 2012. "A forward diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 407-427, February.
    2. Jian Xu & Yi Bu & Ying Ding & Sinan Yang & Hongli Zhang & Chen Yu & Lin Sun, 2018. "Understanding the formation of interdisciplinary research from the perspective of keyword evolution: a case study on joint attention," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 973-995, November.
    3. Diego Chavarro & Puay Tang & Ismael Rafols, 2014. "Interdisciplinarity and research on local issues: evidence from a developing country," Research Evaluation, Oxford University Press, vol. 23(3), pages 195-209.
    4. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    5. Laura Borge & Stefanie Bröring, 2020. "What affects technology transfer in emerging knowledge areas? A multi-stakeholder concept mapping study in the bioeconomy," The Journal of Technology Transfer, Springer, vol. 45(2), pages 430-460, April.
    6. Shiji Chen & Clément Arsenault & Yves Gingras & Vincent Larivière, 2015. "Exploring the interdisciplinary evolution of a discipline: the case of Biochemistry and Molecular Biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1307-1323, February.
    7. Andreas Bjurström & Merritt Polk, 2011. "Climate change and interdisciplinarity: a co-citation analysis of IPCC Third Assessment Report," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 525-550, June.
    8. Seongkyoon Jeong & Jong-Chan Kim & Jae Young Choi, 2015. "Technology convergence: What developmental stage are we in?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 841-871, September.
    9. Andrej Kastrin & Jelena Klisara & Borut Lužar & Janez Povh, 2017. "Analysis of Slovenian research community through bibliographic networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 791-813, February.
    10. 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.
    11. Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Costa, 2012. "Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2206-2222, November.
    12. Zuo, Zhiya & Zhao, Kang, 2018. "The more multidisciplinary the better? – The prevalence and interdisciplinarity of research collaborations in multidisciplinary institutions," Journal of Informetrics, Elsevier, vol. 12(3), pages 736-756.
    13. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    14. van Rijnsoever, Frank J. & Hessels, Laurens K., 2011. "Factors associated with disciplinary and interdisciplinary research collaboration," Research Policy, Elsevier, vol. 40(3), pages 463-472, April.
    15. Sándor Soós & Zsófia Vida & András Schubert, 2018. "Long-term trends in the multidisciplinarity of some typical natural and social sciences, and its implications on the SSH versus STM distinction," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 795-822, March.
    16. Ran Xu & Navid Ghaffarzadegan, 2018. "Neuroscience bridging scientific disciplines in health: Who builds the bridge, who pays for it?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1183-1204, November.
    17. Yury Dranev & Maxim Kotsemir & Boris Syomin, 2018. "Diversity of research publications: relation to agricultural productivity and possible implications for STI policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1565-1587, September.
    18. Gibson, Elizabeth & Daim, Tugrul U. & Dabic, Marina, 2019. "Evaluating university industry collaborative research centers," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 181-202.
    19. Lina Xu & Steven Dellaportas & Zhiqiang Yang & Jin Wang, 2023. "More on the relationship between interdisciplinary accounting research and citation impact," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4779-4803, December.
    20. Silva, F.N. & Viana, M.P. & Travençolo, B.A.N. & Costa, L. da F., 2011. "Investigating relationships within and between category networks in Wikipedia," Journal of Informetrics, Elsevier, vol. 5(3), pages 431-438.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:129:y:2024:i:11:d:10.1007_s11192-024-05151-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.