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A scientometric analysis of ICT-assisted disaster management

Author

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  • Sandeep Kumar Sood

    (National Institute of Technology Kurukshetra)

  • Keshav Singh Rawat

    (Central University of Himachal Pradesh)

Abstract

In recent years, natural and manmade disasters such as floods, earthquakes, wildfires, and tsunamis have occurred with human losses and environmental deterioration. Henceforth, to reduce the damage caused by these catastrophic events, the administration and government need to track victims and perform synchronized relief efforts on time at the disaster sites. The promising technologies of Internet communication technology (ICT), like the Internet of things, cloud computing, and data analytics, can assist various phases of disaster management. Moreover, the role of higher education spans all stages of disaster management: preparedness, response, and recovery. As educational and research contributions, higher educational institutes are essentially involved in all the disaster management stages to contribute to society broadly. Henceforth, the scientific analysis of disaster management literature is required to analyze the overall structure and developments in this domain. This study presents a scientometric analysis that evaluates the ICT-assisted disaster management research over the last 15 years (2005–2020). It presents various empirical ways to analyze the evolution, status, and result of ICT-assisted in disaster management research. This study provides extensive insight into the publication growth, citation analysis, collaboration, and keyword co-occurrence analysis for technological trends of the ICT-assisted disaster management research. It identifies key journals, countries, and organizations that significantly contributed to this research domain. Overall, this study presents various patterns, research trends, and collaborations as the basic structure for future research in this field.

Suggested Citation

  • Sandeep Kumar Sood & Keshav Singh Rawat, 2021. "A scientometric analysis of ICT-assisted disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(3), pages 2863-2881, April.
    • Handle: RePEc:spr:nathaz:v:106:y:2021:i:3:d:10.1007_s11069-021-04512-3
    DOI: 10.1007/s11069-021-04512-3
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    References listed on IDEAS

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    Cited by:

    1. Mallikarjun Kappi & B. Mallikarjuna, 2024. "Artificial intelligence and machine learning for disaster prediction: a scientometric analysis of highly cited papers," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(12), pages 10443-10463, September.
    2. Meiyan Gao & Zongmin Wang & Haibo Yang, 2022. "Review of Urban Flood Resilience: Insights from Scientometric and Systematic Analysis," IJERPH, MDPI, vol. 19(14), pages 1-19, July.

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