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Bibliometric monitoring of research performance in ICT-based disaster management literature

Author

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  • Sahil

    (Guru Nanak Dev University Regional Campus)

  • Sandeep Kumar Sood

    (Central University of Himachal Pradesh)

Abstract

The increasing diffusion of Information Communication Technologies (ICT) in the domain of disaster management depicts the catalyzed efforts and interests of nations for achieving sustainable disaster-related solutions. This momentum has resulted in the increased growth of research production, and interest of various communities, in the domain of ICT-based disaster management. Henceforth, the profound popularity of this domain requires a quantitative analysis to understand the evolution, development, and status quo of the domain. This paper presents a decade long bibliometric analysis of the ICT-based disaster management domain by analyzing the Scopus indexed research documents published during the period 2009–2018. The study explores the various bibliometric patterns: publication, citation, and keyword occurrence, and visualizes the core bibliometric aspects, of the research conducted in the domain. This study helps in understanding the development, nature, social relevance, and impact of the domain, and providing a platform for deciding future agendas and roadmap for the interested communities and nations.

Suggested Citation

  • Sahil & Sandeep Kumar Sood, 2021. "Bibliometric monitoring of research performance in ICT-based disaster management literature," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(1), pages 103-132, February.
  • Handle: RePEc:spr:qualqt:v:55:y:2021:i:1:d:10.1007_s11135-020-00991-x
    DOI: 10.1007/s11135-020-00991-x
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    References listed on IDEAS

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    1. J. F. Rosser & D. G. Leibovici & M. J. Jackson, 2017. "Rapid flood inundation mapping using social media, remote sensing and topographic data," 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. 87(1), pages 103-120, May.
    2. Mike Thelwall & Kevan Buckley & Georgios Paltoglou, 2011. "Sentiment in Twitter events," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(2), pages 406-418, February.
    3. J. E. Hirsch, 2010. "An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 741-754, December.
    4. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    5. Katerina Tzavella & Alexander Fekete & Frank Fiedrich, 2018. "Opportunities provided by geographic information systems and volunteered geographic information for a timely emergency response during flood events in Cologne, Germany," 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. 91(1), pages 29-57, April.
    6. Marta Poblet & Esteban García-Cuesta & Pompeu Casanovas, 2018. "Crowdsourcing roles, methods and tools for data-intensive disaster management," Information Systems Frontiers, Springer, vol. 20(6), pages 1363-1379, December.
    7. Nees Jan Eck & Ludo Waltman, 2017. "Citation-based clustering of publications using CitNetExplorer and VOSviewer," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1053-1070, May.
    8. Mike Thelwall & Kevan Buckley & Georgios Paltoglou, 2011. "Sentiment in Twitter events," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(2), pages 406-418, February.
    9. William W. Hood & Concepción S. Wilson, 2001. "The Literature of Bibliometrics, Scientometrics, and Informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(2), pages 291-314, October.
    10. Li Zhao & Zhi-ying Tang & Xin Zou, 2019. "Mapping the Knowledge Domain of Smart-City Research: A Bibliometric and Scientometric Analysis," Sustainability, MDPI, vol. 11(23), pages 1-28, November.
    11. Hanaa M. H. Alam El-Din & Ahmed Sharaf Eldin & Amro M. S. A. Hanora, 2016. "Bibliometric analysis of Egyptian publications on Hepatitis C virus from PubMed using data mining of an in-house developed database (HCVDBegy)," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 895-915, August.
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