Scientometric Analysis of Artificial Intelligence (AI) for Geohazard Research.
Sheng Jiang1,2, Junwei Ma1,2, Zhiyang Liu1,2
1Badong National Observation and Research Station of Geohazards (BNORSG), China University of Geosciences, Wuhan 430074, China.
Sensors (Basel, Switzerland)
|October 27, 2022
Summary
Artificial intelligence (AI) is revolutionizing geohazard research, with significant growth in publications since 2000. Key areas include ground motion, deep learning, and landslides, with China, the US, and Italy leading advancements.
Area of Science:
- Geosciences and Computer Science
- Interdisciplinary research on geohazards and artificial intelligence
Background:
- Geohazard prevention and mitigation present complex challenges.
- Artificial intelligence (AI) offers effective solutions for geohazard research.
- Rapid growth in AI-related geohazard publications necessitates a comprehensive review.
Purpose of the Study:
- To conduct a scientometric analysis of AI in geohazard research.
- To identify key researchers, institutions, and emerging topics.
- To provide insights into the current state and future trends of AI-based geohazard studies.
Main Methods:
- Scientometric analysis of 9226 records from Web of Science.
- Utilized coauthor, co-citation, and cluster analysis techniques.
- Employed visualization of research networks.
Main Results:
- AI in geohazards research experienced rapid growth post-2000.
- China, the United States, and Italy are major contributors.
- Hot topics include ground motion, deep learning (DL), and landslides.
- Common AI algorithms are DL, support vector machine (SVM), and decision tree (DT).
Conclusions:
- The study provides valuable insights into AI-driven geohazard research.
- Offers reference points for researchers and practitioners.
- Highlights the potential of scientometric analysis for visualizing research trends.
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