A Special Focus on Natural Disasters in the Field of Earth Sciences
Abstract
This study analyzes 9,116 scientific reports to explore research trends in natural disasters within Earth sciences. Keyword network and clustering analyses reveal that “natural disasters” and “climate change” are the most central themes, highlighting their strong interconnection. Technologies such as GIS, remote sensing, and artificial intelligence (deep learning, neural networks) play crucial roles in disaster prediction, risk assessment, and damage evaluation. Tsunami-related research exemplifies advancements in early warning and management systems, particularly in Japan, Indonesia, and Turkey. The study also emphasizes societal resilience and recovery processes after disasters. Based on the World Risk Index, India and Indonesia show the highest vulnerability, while the U.S. and Germany demonstrate strong adaptive capacities. Turkey's moderate index underlines the need for improved preparedness. Bibliometric data identify China, the U.S., and India as leading contributors to disaster-related research.
Fields of Study & Subjects
Disaster Management and Resilience
scientometrics and bibliometrics research
Earthquake and Disaster Impact Studies
Publication details
- Journal / source
- IGI Global eBooks
- Pages
- 277–308
- Publication date
- 4 March 2026
- Language
- NG
- Document type
- Book chapter