ABSTRACT As an essential part of earthquake disasters, earthquake‐triggered landslides significantly threaten human life and property safety. Conducting a bibliometric analysis of earthquake‐triggered landslides literature can systematically sort out the knowledge structure and evolutionary patterns in this field, identify research hotspots and development trends. Based on 2137 research documents on earthquake‐triggered landslides retrieved from the Web of Science Core Collection database, this study uses CiteSpace and VOSviewer software to systematically analyse the research hotspots, technical pathways, and development trends in this field. The results reveal that research hotspots exhibit dual characteristics of event‐driven and technological innovation: (1) The annual number of publications on earthquake‐triggered landslides has shown a significant upward trend, with major earthquake events serving as the key driver of research development. Among these, literature related to the Wenchuan earthquake accounted for 547 papers, representing 25.6% of the total; (2) Research is concentrated in 290 journals and 1106 institutions, with the Chinese Academy of Sciences and the United States Geological Survey standing out in this field; (3) Research hotspots have shifted from early‐stage specific earthquake events to triggering mechanisms and probability assessment, with new technologies such as machine learning emerging as research frontiers; (4) A total of 2137 papers involve 200 earthquake events, primarily distributed along the Circum‐Pacific seismic belt and the Alpine‐Himalayan seismic belt; (5) Research on triggering mechanisms mainly focused on seismic motion (122 papers) and geological conditions (107 papers). The findings provide a scientific basis for the systematic development of earthquake‐induced landslide research and future research directions.
Jin et al. (Thu,) studied this question.