Flood risk-related research trends in latin america and the caribbean

Latin America and the Caribbean (LAC), like many other regions in the world, are areas that are prone to hydrometeorological disasters, which threaten livelihoods and cause economic losses. To derive LAC’s status in the field of flood risk-related research, we conducted a bibliometric analysis of the region’s publication record using the Web of Science journal database (WoS). After analysing a total of 1887 references according to inclusion-exclusion criteria, 302 articles published in the last 20 years were selected. The research articles published in the period 2000–2020 revealed that Mexico, Brazil, and certain South American countries such as Chile, Peru, and Argentina are more productive in flood risk research. Scientific research is increasing, and most of the available studies focus on lowland areas. The frequently-used keywords are generic, and there is often verbatim copying from the title of the article, which shows the poor coherence between the title, abstract, and keywords. This limited diversification of keywords is of little use in bibliometric studies, reducing their visibility and negatively impacting the citation count level. LAC flood studies are mainly related to hydrometeorological assessments, flood risk analyses, geomorphological and ecosystem studies, flood vulnerability and resilience approaches, and statistical and geographic information science evaluations. This systematic review reveals that although flood risk research has been important in the last two decades, future research linked with future climatic scenarios is key to the development of realistic solutions to disaster risks.

Bibliographic Details

Main Authors:	Pinos, Juan, Quesada-Román, Adolfo
Format:	artículo biblioteca
Language:	English
Published:	Multidisciplinary Digital Publishing Institute 2022-01-01
Subjects:	Bibliometric analysis, Content analysis, Floods, Research integration, Research trends, Research publications, Risk management, Scientometrics, Statistics,
Online Access:	http://hdl.handle.net/10261/259497 https://api.elsevier.com/content/abstract/scopus_id/85121734362
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