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Self-citations, co-authorships and keywords: A new approach to scientists’ field mobility?

Author

Listed:
  • Iina Hellsten

    (VKS-KNAW)

  • Renaud Lambiotte

    (Université de Liège)

  • Andrea Scharnhorst

    (VKS-KNAW)

  • Marcel Ausloos

    (Université de Liège)

Abstract

This paper introduces a new approach to detecting scientists’ field mobility by focusing on an author’s self-citation network, and the co-authorships and keywords in self-citing articles. Contrary to much previous literature on self-citations, we will show that author’s self-citation patterns reveal important information on the development and emergence of new research topics over time. More specifically, we will discuss self-citations as a means to detect scientists’ field mobility. We introduce a network based definition of field mobility, using the Optimal Percolation Method (Lambiotte & Ausloos, 2005; 2006). The results of the study can be extended to selfcitation networks of groups of authors and, generally also for other types of networks.

Suggested Citation

  • Iina Hellsten & Renaud Lambiotte & Andrea Scharnhorst & Marcel Ausloos, 2007. "Self-citations, co-authorships and keywords: A new approach to scientists’ field mobility?," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 469-486, September.
    • Handle: RePEc:spr:scient:v:72:y:2007:i:3:d:10.1007_s11192-007-1680-5
    DOI: 10.1007/s11192-007-1680-5
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    2. Rodrigo Costas & Thed N. Leeuwen & María Bordons, 2010. "Self-citations at the meso and individual levels: effects of different calculation methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 517-537, March.
    3. Alexandre Truc, 2022. "The Disciplinary Mobility of Core Behavioral Economists," GREDEG Working Papers 2022-27, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    4. Ismael Rafols & Martin Meyer, 2010. "Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 263-287, February.
    5. Petersen, Alexander M., 2019. "Megajournal mismanagement: Manuscript decision bias and anomalous editor activity at PLOS ONE," Journal of Informetrics, Elsevier, vol. 13(4).
    6. Zhang, Lin & Qi, Fan & Sivertsen, Gunnar & Liang, Liming & Campbell, David, 2023. "Gender differences in the patterns and consequences of changing specialization in scientific careers," SocArXiv ep5bx, Center for Open Science.
    7. Ma, Yinghong & Song, Le & Ji, Zhaoxun & Wang, Qian & Yu, Qinglin, 2020. "Scholar’s career switch adhesive with research topics: An evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    8. Chakraborty, Tanmoy & Tammana, Vihar & Ganguly, Niloy & Mukherjee, Animesh, 2015. "Understanding and modeling diverse scientific careers of researchers," Journal of Informetrics, Elsevier, vol. 9(1), pages 69-78.
    9. Wen-Yau Cathy Lin & Mu-Hsuan Huang, 2012. "The relationship between co-authorship, currency of references and author self-citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 343-360, February.
    10. Petersen, Alexander M. & Pan, Raj K. & Pammolli, Fabio & Fortunato, Santo, 2019. "Methods to account for citation inflation in research evaluation," Research Policy, Elsevier, vol. 48(7), pages 1855-1865.
    11. Radhamany Sooryamoorthy, 2010. "Medical research in South Africa: a scientometric analysis of trends, patterns, productivity and partnership," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 863-885, September.
    12. Lambiotte, R. & Panzarasa, P., 2009. "Communities, knowledge creation, and information diffusion," Journal of Informetrics, Elsevier, vol. 3(3), pages 180-190.
    13. Dean Hendrix, 2009. "Institutional self-citation rates: A three year study of universities in the United States," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 321-331, November.
    14. Sepideh Fahimifar & Khadijeh Mousavi & Fatemeh Mozaffari & Marcel Ausloos, 2023. "Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3685-3712, August.
    15. Werner Ebeling & Andrea Scharnhorst, 2014. "Modellierungskonzepte der Synergetik und der Theorie der Selbstorganisation," Papers 1412.2399, arXiv.org.
    16. Edwin Horlings & Thomas Gurney, 2013. "Search strategies along the academic lifecycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1137-1160, March.

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