Análisis Bibliométrico Acerca del Uso de Drones para Análisis y Detección de Inundaciones

Abstract

This bibliometric analysis explores the existing scientific literature on the use of drones in flood prediction. The study aims to provide an overview of the quantity of scientific publications, temporal research trends, and key players in this field. It also examines the common thematic areas and methodological approaches used in the identified studies. The analysis was conducted using two renowned academic databases, ScienceDirect and Scopus. The results reveal a growing interest in the use of drones for flood prevention and management, with a steady increase in the number of publications over the years. Prominent authors and institutions contributing to the research are identified, highlighting their areas of expertise. The analysis also uncovers the multidisciplinary nature of the research, with computer science, engineering, and earth and planetary sciences being the most prominent areas of study. Additionally, the study examines the geographic distribution of research, with China leading in terms of the number of publications. The findings underscore the global participation and collaboration in using drones for flood prevention and management. The analysis of document types reveals that articles and conference papers are the primary means of sharing knowledge in this field. Furthermore, the study identifies the major sponsors involved, indicating substantial financial support from various sources worldwide. Overall, this bibliometric analysis provides valuable insights into the current state of research on the use of drones in flood prediction, identifying knowledge gaps and areas requiring further attention. The results can guide researchers, professionals, and decision-makers in focusing their efforts on promising research avenues and more effective flood prediction and mitigation strategies.