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Mapping the intellectual structure of GIS-T field (2008–2019): a dynamic co-word analysis

Author

Listed:
  • Seyedmohammadreza Hosseini

    (York University)

  • Hamed Baziyad

    (Tarbiat Modares University)

  • Rasoul Norouzi

    (Tarbiat Modares University)

  • Sheida Jabbedari Khiabani

    (Tarbiat Modares University)

  • Győző Gidófalvi

    (KTH Royal Institute of Technology)

  • Amir Albadvi

    (Tarbiat Modares University)

  • Abbas Alimohammadi

    (K. N. Toosi University of Technology)

  • Seyedehsan Seyedabrishami

    (Tarbiat Modares University)

Abstract

Using geographic information systems (GIS) widely for dealing with transportation problems (is well-known as GIS-T), has made it nessasary for researchers to discover the current state-of-the-art and predict the trends of future research. This paper aims to contribute to a better understanding of GIS-T research area from a longitudinal perspective, over the period 2008–2019. A co-word analysis was used to illustrate all the underlying subfields of GIS-T based on published papers in the Web of Science (WoS) database service. The main knowledge areas representing the intellectual structure of GIS-T including (a) sustainability, (b) health, (c) planning and management, and (d) methods and tools, were detected. Finally, in order to illustrate the structure and development of the identified clusters, two-dimensional maps and strategic diagrams for each period were drawn. This study is the first attempt to employ a text mining method so as to detect the conceptual structure of GIS-T research area from a complex and interdisciplinary literature.

Suggested Citation

  • Seyedmohammadreza Hosseini & Hamed Baziyad & Rasoul Norouzi & Sheida Jabbedari Khiabani & Győző Gidófalvi & Amir Albadvi & Abbas Alimohammadi & Seyedehsan Seyedabrishami, 2021. "Mapping the intellectual structure of GIS-T field (2008–2019): a dynamic co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2667-2688, April.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:4:d:10.1007_s11192-020-03840-8
    DOI: 10.1007/s11192-020-03840-8
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    2. Katchanov, Yurij L. & Markova, Yulia V., 2022. "Dynamics of senses of new physics discourse: Co-keywords analysis," Journal of Informetrics, Elsevier, vol. 16(1).

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