Bibliometric analysis reveals research gaps in tsunami disaster risk reduction and highlights current modeling scenarios.
Tsunamis are a threat that can come at any time, and their impacts can be mitigated effectively. This research undertakes a comprehensive literature review concerning tsunami disaster risk reduction (DRR) aspects between the years 1993 and 2025. The purpose is to identify existing research gaps and delineate the current state-of-the-art in tsunami DRR by analyzing scientific publications based on five DRR analytical component frames. Employing bibliometric methodologies, relevant scholarly articles were retrieved using keywords such as tsunami risk reduction and disaster risk reduction for tsunami hazard. Data collection was performed via the Google Scholar database, resulting in an assemblage of 1,000 bibliographic records spanning from 1975 to 2025. The dataset encompasses over 40,000 citations, an h-index of 100, and approximately 20,000 citations per author, all formatted in RIS. Subsequent analysis involved binary and clustering computational techniques to elicit pertinent research themes and temporal clusters associated with disaster risk reduction studies. The findings of the investigation revealed a significant research gap in tsunami DRR. This gap was identified based on the decreasing number of tsunami DRR studies since 2021. A Large number of tsunami early warning systems that have been implemented have not successfully minimized human and material losses. This study found that casualty-related research plays an important role in bridging the gap between evacuation research and tsunami scenario research within DRR programs. We also identified that the current state-of-the-art in this field lies in tsunami scenario studies, which serve as conceptual databases consisting of various potential tsunami modeling scenarios.
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Setyonegoro et al. (2026) studied this question.