ABSTRACT
Flood vulnerability (FV) assessment is playing a crucial role in extreme event management in developed and developing countries using modelling and remote sensing approaches. The current chapter presents a bibliometric method to evaluate the available information gathered in this research area. The chapter shows how the use of Big Data extracted from the most prestigious databases may enhance the understanding and trends in research in this field. The global scientific literature on FV was quantified using the Scopus database and VOSviewer software. These two tools generated a total of 5,920 documents published on FV from 1972 to 2021. The findings produced five clusters, where ecological, social, and economic domains of research are correlated. Trend analysis depicts a recent focus on mapping hazard and climate change, modelling vulnerability, risk assessment, livelihood, sensitivity, exposure, regression analysis, and urban floods. This may help to recommend the integration of these dimensions and approaches in FV assessment. FV research may then be considered a multi-disciplinary approach linking the ecological and socio-economic dimensions. The generated information can contribute to flood management, particularly in developing countries.
