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Bibliometric indicators to identify emerging research fields: publications on mass gatherings

Author

Listed:
  • Gregorio González-Alcaide

    (Universitat de València)

  • Pedro Llorente

    (Universidad Miguel Hernández de Elche)

  • José M. Ramos

    (Hospital General Universitario de Alicante
    Universidad Miguel Hernández de Elche)

Abstract

The present study analyzes scientific publications on mass gatherings, characterizing its development as an emerging research field. We identified publications on mass gatherings, analyzing the scientific production and carrying out a co-citation analysis. We identified the works of reference that have laid the intellectual foundation for the field as well as the main scientific disciplines and journals that have contributed to its development. We identified 278 documents that cited 7149 bibliographic references. The 2006–2010 period saw a dramatic increase in the number of works published. Papers on mass gatherings also appeared frequently in multidisciplinary journals of high visibility and impact. The co-citation analysis revealed the existence of five clusters or thematic nuclei in research of the area. One large cluster brings together different studies on the prevalence of infectious diseases associated with pilgrimages to Mecca, and another cluster focuses on planning and response for health services in the context of mass gatherings associated with sporting events. Different indicators help characterize the nature of this emerging field, in which we observe the absence of a stable research community, the recentness of the bibliographic citations, and a high concentration of publications on the topic, with no peripheral areas of investigation. The study of mass gatherings is an emerging area of research with a notably multidisciplinary nature. Given the relevance and incidence of mass gatherings in relation to population health, it is necessary to foster the conditions that favor the consolidation of the field as a topic of research.

Suggested Citation

  • Gregorio González-Alcaide & Pedro Llorente & José M. Ramos, 2016. "Bibliometric indicators to identify emerging research fields: publications on mass gatherings," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1283-1298, November.
    • Handle: RePEc:spr:scient:v:109:y:2016:i:2:d:10.1007_s11192-016-2083-2
    DOI: 10.1007/s11192-016-2083-2
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    References listed on IDEAS

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    Cited by:

    1. Daphne R. Raban & Avishag Gordon, 2020. "The evolution of data science and big data research: A bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1563-1581, March.
    2. Xu, Shuo & Hao, Liyuan & An, Xin & Yang, Guancan & Wang, Feifei, 2019. "Emerging research topics detection with multiple machine learning models," Journal of Informetrics, Elsevier, vol. 13(4).
    3. Christian Mühlroth & Michael Grottke, 2018. "A systematic literature review of mining weak signals and trends for corporate foresight," Journal of Business Economics, Springer, vol. 88(5), pages 643-687, July.
    4. Xu, Shuo & Hao, Liyuan & Yang, Guancan & Lu, Kun & An, Xin, 2021. "A topic models based framework for detecting and forecasting emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 162(C).

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