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Bibliometric analysis of risk science from 1996 to 2021: insights and implications

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  • Jun Hao
  • Jianping Li
  • Dengsheng Wu

Abstract

Risk science is a disciplinary system for accurately predicting, assessing, and managing risks. It includes concepts, theories, frameworks, methods, principles, and models related to knowledge generation, to better understand, evaluate, characterize, and manage risk. To better describe the development of risk science, this study selects 10,950 papers from 1996 to 2021 and performs a scientometric analysis of risk science. This study provides high-level insights into journal publishing trends, structures, and trends by leading countries, institutes, authors, and their respective collaboration networks. In addition, we analyze the structure and evolution of the research focus questions. The findings aim to help scholars and risk practitioners understand the structure and development of the field, and identify critical contributors and hot topics to improve the risk science field.

Suggested Citation

  • Jun Hao & Jianping Li & Dengsheng Wu, 2023. "Bibliometric analysis of risk science from 1996 to 2021: insights and implications," Journal of Risk Research, Taylor & Francis Journals, vol. 26(5), pages 485-501, May.
    • Handle: RePEc:taf:jriskr:v:26:y:2023:i:5:p:485-501
    DOI: 10.1080/13669877.2023.2176914
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    Cited by:

    1. Li, Guowen & Jing, Zhongbo & Li, Jingyu & Feng, Yuyao, 2023. "Drivers of risk correlation among financial institutions: A study based on a textual risk disclosure perspective," Economic Modelling, Elsevier, vol. 128(C).

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