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Linking the dimensions of policy-related research on obesity: a hybrid mapping with multicluster topics and interdisciplinarity maps

Author

Listed:
  • Anna Kiss

    (Szent István University)

  • Péter Fritz

    (University of Miskolc)

  • Zoltán Lakner

    (Szent István University)

  • Sándor Soós

    (Library and Information Centre of the Hungarian Academy of Sciences (MTA))

Abstract

Mapping the intellectual structure and dynamics of complex, multidisciplinary domains has long been a challenging task for bibliometrics. Research subjects with outstanding social relevance are typically of this sort, being multifaceted and requiring a synthesis of various field-specific perspectives. Among such subjects, our work addresses policy-related research on obesity, and aims to uncover how this multilevel issue is represented in policy studies through its dense thematic interrelations, and at the interfaces of various research areas participating in the discourse. In doing so, we propose an analytic framework combining so-called hybrid methods of science mapping with the (traditional) use of alluvial diagrams, resulting in what we refer to as “multicluster topics” and “interdisciplinarity maps”. Therefore, the contribution of this paper can be considered both at the subject and at the methodological level.

Suggested Citation

  • Anna Kiss & Péter Fritz & Zoltán Lakner & Sándor Soós, 2020. "Linking the dimensions of policy-related research on obesity: a hybrid mapping with multicluster topics and interdisciplinarity maps," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 159-213, January.
  • Handle: RePEc:spr:scient:v:122:y:2020:i:1:d:10.1007_s11192-019-03293-8
    DOI: 10.1007/s11192-019-03293-8
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    References listed on IDEAS

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    1. Cassi, Lorenzo & Lahatte, Agénor & Rafols, Ismael & Sautier, Pierre & de Turckheim, Élisabeth, 2017. "Improving fitness: Mapping research priorities against societal needs on obesity," Journal of Informetrics, Elsevier, vol. 11(4), pages 1095-1113.
    2. Ali Najmi & Taha H. Rashidi & Alireza Abbasi & S. Travis Waller, 2017. "Reviewing the transport domain: an evolutionary bibliometrics and network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 843-865, February.
    3. Kevin W. Boyack & Richard Klavans, 2010. "Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    4. Kevin W. Boyack & Richard Klavans, 2010. "Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
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