4.5 Review

A Scientometric Review of Global Research on Smart Disaster Management

期刊

IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
卷 68, 期 1, 页码 317-329

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEM.2020.2972288

关键词

Bibliometrics; Disaster management; Market research; Databases; Information and communication technology; Computer science; Economics; Disaster Management; Information and Communication Technologies (ICT); Scopus; VOSviewer

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This article provides a bidimensional scientometric study of smart disaster management (SDM) research, analyzing it from the perspective of various categories of disasters and research areas. Based on extensive bibliographic data from Scopus for the period 2009-2018, the study presents empirical approaches to understand the evolution, status quo, and output of SDM research. The article offers insights into publication patterns, citation patterns, and keywords co-occurrence analysis for technological trends in SDM research, identifying significant categories, research areas, nations, and institutions in the field.
The advancements in information and communication technologies have propelled the efforts of various nations toward a disaster-ready society. This progression has even conceived a new term called as smart disaster management (SDM). This profound interest and popularity of SDM among the nations in recent years has led to a considerable number of research publications in this domain. Henceforth, the high relevance and growth of research require the overall study of the structure and development in this field, which can be well understood through quantitative approaches. This article presents a bidimensional scientometric study of SDM research from the perspective of various categories of disasters and research areas. This study is based on an extensive bibliographic data of the period 2009-2018 retrieved from Scopus. It exhibits various empirical approaches to study the evolution, status quo, and output of SDM research. This article provides extensive insights into the publication patterns, citation patterns, and keywords co-occurrence analysis for technological trends of the SDM research. This scientometric study identifies significant categories, research areas, nations, and institutions for SDM research from various perspectives. In whole, this article presents an overall and better understanding of various patterns, trends, and other factors as the foundation for the future research directives and collaborations in the domain of SDM research.

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