EXPLORING GLOBAL RESEARCH TRENDS ON FLOOD DISASTER RISK MANAGEMENT
DOI:
https://doi.org/10.35631/IJIREV.824007Keywords:
Bibliometric Analysis, Flood Disaster Risk Management, Resilience, Research TrendsAbstract
Flood disasters remain one of the most critical global challenges, causing severe human, economic, and environmental losses while testing the capacity of risk management systems. In recent decades, research on flood disaster risk management has expanded significantly, reflecting the urgent need to strengthen mitigation, preparedness, and resilience strategies. However, despite the rapid growth of scholarship, systematic evaluations of the research landscape remain limited. This study aims to provide a comprehensive bibliometric analysis of flood disaster risk management to identify major trends, influential contributions, and emerging research directions. Data were collected through Scopus using advanced search queries with the keywords “disaster,” “flood,” “management,” and “risk,” resulting in a dataset of 1,259 documents. The dataset was processed and harmonized using OpenRefine, while Scopus Analyzer was employed to examine statistical indicators and generate trend-based graphs. VOSviewer software was then applied to construct network visualizations, including keyword co-occurrence, co-authorship collaboration, and citation patterns. The results reveal a steady increase in publications, with notable peaks in the last five years, indicating growing scholarly and policy interest in the field. The most cited works predominantly focus on integrated risk management, climate change adaptation, and resilience-based approaches, highlighting the interdisciplinary nature of the research. Geographically, the United Kingdom, United States, China, and Germany emerge as the leading contributors, reflecting strong collaboration and global knowledge exchange. Keyword analysis further demonstrates the prominence of “risk assessment,” “disaster risk management,” “climate change,” and “resilience” as central themes, while newer terms such as “machine learning” and “nature-based solutions” signal evolving research frontiers. Overall, this bibliometric study enriches the understanding of flood disaster risk management by mapping its intellectual structure, highlighting critical contributions, and offering insights into future research directions for academics, policymakers, and practitioners.
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