Natural Hazards

Papers
(The H4-Index of Natural Hazards is 40. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Applications of artificial intelligence for disaster management140
Flood exposure and social vulnerability in the United States135
A novel displacement prediction method using gated recurrent unit model with time series analysis in the Erdaohe landslide130
Urbanization impacts on flood risks based on urban growth data and coupled flood models118
Landslide hazard assessment based on Bayesian optimization–support vector machine in Nanping City, China74
Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India74
Assessing drought in the drylands of northeast Brazil under regional warming exceeding 4 °C73
Machine learning and landslide studies: recent advances and applications71
Application of probabilistic method in maximum tsunami height prediction considering stochastic seabed topography69
A novel dynamic predictive method of water inrush from coal floor based on gated recurrent unit model67
Livelihood resilience and strategies of rural residents of earthquake-threatened areas in Sichuan Province, China66
Flood susceptibility prediction using four machine learning techniques and comparison of their performance at Wadi Qena Basin, Egypt61
A review on applications of urban flood models in flood mitigation strategies61
Multi-geohazards susceptibility mapping based on machine learning—a case study in Jiuzhaigou, China58
A simple Monte Carlo method for estimating the chance of a cyclone impact58
Stability prediction of Himalayan residual soil slope using artificial neural network58
Zoning map for drought prediction using integrated machine learning models with a nomadic people optimization algorithm55
Spatial assessment of drought disasters, vulnerability, severity and water shortages: a potential drought disaster mitigation strategy54
Short-term rockburst risk prediction using ensemble learning methods53
The adoption of ELM to the prediction of soil liquefaction based on CPT52
A review of the research into the relations between hazards in multi-hazard risk analysis52
Cryosphere hazards in Ladakh: the 2014 Gya glacial lake outburst flood and its implications for risk assessment50
Torrential rainfall-induced landslide susceptibility assessment using machine learning and statistical methods of eastern Himalaya49
A spatiotemporal analysis of urban resilience to the COVID-19 pandemic in the Yangtze River Delta47
Effect of temperature on physical, mechanical and acoustic emission properties of Beishan granite, Gansu Province, China47
Community resilience and resident's disaster preparedness: evidence from China's earthquake-stricken areas47
GIS-based forest fire susceptibility modeling in Pauri Garhwal, India: a comparative assessment of frequency ratio, analytic hierarchy process and fuzzy modeling techniques45
Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey45
Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices44
Investigation on the effect of inclined crest step pool on scouring protection in erodible river beds44
Comparison of different methodologies for rainfall–runoff modeling: machine learning vs conceptual approach43
Impacts of earthquake knowledge and risk perception on earthquake preparedness of rural residents43
Flood forecasting based on an artificial neural network scheme43
Rapid forecasting of urban flood inundation using multiple machine learning models41
Assessing cyclone disturbances (1988–2016) in the Sundarbans mangrove forests using Landsat and Google Earth Engine41
Urban flood hazard mapping using machine learning models: GARP, RF, MaxEnt and NB40
Integrated natural disasters urban resilience evaluation: the case of China40
Mapping the susceptibility to landslides based on the deep belief network: a case study in Sichuan Province, China40
Misinformation debunking and cross-platform information sharing through Twitter during Hurricanes Harvey and Irma: a case study on shelters and ID checks40
Building damage annotation on post-hurricane satellite imagery based on convolutional neural networks40
Influence of human activity on landslide susceptibility development in the Three Gorges area40
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