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.

中文翻译：

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全球智能灾害管理研究的科学计量学评论

信息和通信技术的进步推动了各国努力建设一个备灾社会。这种进步甚至构思了一个称为智能灾难管理 (SDM) 的新术语。近年来，各国对 SDM 的这种浓厚兴趣和受欢迎程度导致了该领域的大量研究出版物。今后，研究的高度相关性和增长性需要对该领域的结构和发展进行整体研究，这可以通过定量方法很好地理解。本文从各类灾害和研究领域的角度，对 SDM 研究进行了二维科学计量研究。本研究基于从 Scopus 检索的 2009-2018 年期间的广泛书目数据。它展示了各种实证方法来研究 SDM 研究的演变、现状和产出。本文对 SDM 研究的技术趋势的发表模式、引用模式和关键词共现分析提供了广泛的见解。这项科学计量研究从不同的角度确定了 SDM 研究的重要类别、研究领域、国家和机构。总的来说，本文对各种模式、趋势和其他因素进行了全面和更好的理解，作为 SDM 研究领域未来研究方向和合作的基础。SDM研究技术趋势的关键词共现分析。这项科学计量研究从不同的角度确定了 SDM 研究的重要类别、研究领域、国家和机构。总的来说，本文对各种模式、趋势和其他因素进行了全面和更好的理解，作为 SDM 研究领域未来研究方向和合作的基础。SDM研究技术趋势的关键词共现分析。这项科学计量研究从不同的角度确定了 SDM 研究的重要类别、研究领域、国家和机构。总的来说，本文对各种模式、趋势和其他因素进行了全面和更好的理解，作为 SDM 研究领域未来研究方向和合作的基础。