Technical Papers
Feb 16, 2023

Research in the Field of Natural Hazards Based on Bibliometric Analysis

Publication: Natural Hazards Review
Volume 24, Issue 2

Abstract

Natural hazards are highly threatening to human survival and development. Over the last 4 decades, research on natural hazards has become increasingly advanced and in-depth. With the continued development of science and technology and the complex changes in the environment, reviewing research fields and exploring current research hot spots and trends have become a key issue. In this study, 25,969 publications from the Web of Science were selected and statistically analyzed using bibliometrics to extract information on authors, institutions, countries/regions, journals, disciplines, keywords, and abstracts. Research hot spots were identified by machine learning. The results showed that (1) the number and growth rate of publications related to natural hazards are continuously increasing; (2) the author Biswajeet Pradhan, the institution of Chinese Academy of Sciences, the country of US, and the journal Natural Hazards are the most prolific in each aspect, respectively, and Geosciences Multidisciplinary is the most important subject; (3) keyword analysis showed that earthquakes, landslides, and floods are the core of natural hazards research, and climate change, disaster prevention and mitigation, and emergency management have received more and more attention in recent years; and (4) among the topics obtained from latent Dirichlet allocation (LDA) models, the most frequent topics are “Mechanism and simulation” and “Risk Assessment,” and “Drought and water hazards” and “Machine learning” are developing rapidly.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article. Information about the Journal’s data-sharing policy can be found here: https://ascelibrary.org/page/dataavailability.

Acknowledgments

This work was supported by the National Institute of Natural Hazards, Ministry of Emergency Management of China (ZDJ2020-10), the Lhasa National Geophysical Observation and Research Station (NORSLS20-07), and the National Natural Science Foundation of China (41941016).

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Natural Hazards Review
Volume 24Issue 2May 2023

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Received: Aug 16, 2022
Accepted: Dec 22, 2022
Published online: Feb 16, 2023
Published in print: May 1, 2023
Discussion open until: Jul 16, 2023

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Yuandong Huang [email protected]
Master’s Student, National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China; Master’s Student, Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing 100085, China; Master’s Student, School of Earth Sciences and Resources, China Univ. of Geosciences, Beijing 100083, China. Email: [email protected]
Professor, National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China; Professor, Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing 100085, China (corresponding author). ORCID: https://orcid.org/0000-0002-3956-4925. Email: [email protected]
Xujiao Zhang [email protected]
Professor, School of Earth Sciences and Resources, China Univ. of Geosciences, Beijing 100083, China. Email: [email protected]
Master’s Student, National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China; Master’s Student, Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing 100085, China; Master’s Student, School of Engineering and Technology, China Univ. of Geosciences, Beijing 100083, China. Email: [email protected]
Professor, National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China; Professor, Key Laboratory of Compound and Chained Natural Hazards Dynamics, Ministry of Emergency Management of China, Beijing 100085, China. Email: [email protected]

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