Combined with expert interpretations, 100,267 Science Citation Index (SCI) journal papers published in Diaster Risk Reduction field in 2022 were retrieved as of December 31, 2022, with 165 countries/regions conducting relevant research.
The top 12 countries (>300 papers) in terms of the greatest number of papers published (in descending order) were China, the USA, India, the UK, Italy, Germany, Japan, Australia, Canada, France, Spain, and Iran. China had the highest number of publications worldwide.
Beijing Normal University (BNU) had the highest rate of papers cited, followed by the Helmholtz Association of German Research Centers (HGF) and the Swiss Federal Institute of Technology. The Chinese Academy of Sciences (CAS) and the HGF had the highest percentages of highly cited papers.
Research in this field was mainly distributed in the following 12 disciplines (>500 papers): Environmental Sciences, Multidisciplinary Earth Sciences, Water Sciences, Meteorology and Atmospheric Sciences, Public Environmental and Occupational Health, Environmental Studies, Green and Sustainable Technologies, Remote Sensing Sciences, Geochemistry and Geophysics, Imaging Sciences and Photographic Techniques, Environmental Engineering, and Geological Engineering. Research on disaster prevention and control in China was mainly distributed in the following 14 disciplines (>100 papers): Environmental Sciences, Integrated Earth Sciences, Water Resources, Meteorological and Atmospheric Sciences, Remote Sensing, Imaging Sciences and Photographic Technology, Environmental Engineering, Geological Engineering, Geochemistry and Geophysics, Green and Sustainable Science and Technology, Public Environmental and Occupational Health, Environmental Studies, and Geography and Civil Engineering.
The five research hotspots for 2022 were soil and water pollution caused by heavy metal pollution, earthquake disaster simulation and prediction, environmental vulnerability and health risks caused by air pollution, disasters related to climate change, and the spatial and temporal dynamics of land use based on geographic information systems (GIS).
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Chinese version https://ikcest-drr.osgeo.cn/static/upload/fe/fef0cb20-7956-11ee-8c6e-00163e059c63.pdf
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