Global research trends in seismic landslide: A bibliometric analysis

Abstract

Earthquake-induced landslides have always been a hot research topic in the field of geosciences. However, there have been few bibliometric analyses on this topic. To systematically understand the research status, this study is based on bibliometrics and extensively uses visualization analysis techniques. It combines quantitative and qualitative methods to conduct an in-depth analysis of 5016 papers collected from the Web of Science (www.webofscience.com). The results revealed that: (1)The number of papers on earthquake-induced landslides is steadily increasing, and is expected to continue to rise. (2)Countries prone to frequent earthquakes have made significant contributions to the research on earthquake-induced landslides, and the frequent and effective cooperation among these countries has had a very positive impact on promoting landslide study. (3) Research on earthquake-induced landslides is no longer limited to the field of geology, and the future direction is to integrate knowledge and technical methods from multiple disciplines. In the research methods of earthquake-induced landslides, there is a gradual shift from "experience, theory" to "data-driven". This study can provide researchers in this field with information on the core research forces, evolving hot topics, and future development trends of earthquake-induced landslides.

Keywords

Earthquake-induced landslides / Visualization / Development trends / Bibliometrics

CRediT authorship contribution statement

Mengiie Yang: Writing - original draft, Visualization, Software, Formal analysis, Data curation, Conceptualization. Shenghua Cui: Supervision, Resources, Methodology, Funding acquisition, Conceptualization. Tao Jiang: Writing - review & editing, Methodology, Data curation.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Author agreement and acknowledgement

I would like to declare on behalf of my co-authors that the work described was original research that has not been published previously, and is not under consideration for publication elsewhere, in whole or in part. All the authors listed have approved the manuscript that is enclosed. This work was supported by the National Natural Science Foundation of China (No. 41931296), National Key R & D Program of China (No. 2023YFC3007100) and Tianfu Yongxing Laboratory Organized Research Project Funding (No. 2023KJGG05).

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