OOIR: Observatory of International Research

Papers

(The H4-Index of Natural Hazards is 37. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Flood exposure and social vulnerability in the United States	196
Urbanization impacts on flood risks based on urban growth data and coupled flood models	159
Machine learning and landslide studies: recent advances and applications	101
A review on applications of urban flood models in flood mitigation strategies	89
Landslide hazard assessment based on Bayesian optimization–support vector machine in Nanping City, China	88
A simple Monte Carlo method for estimating the chance of a cyclone impact	86
Application of a new machine learning model to improve earthquake ground motion predictions	83
Livelihood resilience and strategies of rural residents of earthquake-threatened areas in Sichuan Province, China	71
Spatial assessment of drought disasters, vulnerability, severity and water shortages: a potential drought disaster mitigation strategy	62
The adoption of ELM to the prediction of soil liquefaction based on CPT	59
A spatiotemporal analysis of urban resilience to the COVID-19 pandemic in the Yangtze River Delta	57
Torrential rainfall-induced landslide susceptibility assessment using machine learning and statistical methods of eastern Himalaya	57
Comparison of different methodologies for rainfall–runoff modeling: machine learning vs conceptual approach	55
Rapid forecasting of urban flood inundation using multiple machine learning models	53
Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey	53
Community resilience and resident's disaster preparedness: evidence from China's earthquake-stricken areas	52
An urban system perspective on urban flood resilience using SEM: evidence from Nanjing city, China	52
Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices	52
Urban flood hazard mapping using machine learning models: GARP, RF, MaxEnt and NB	51
Effect of temperature on physical, mechanical and acoustic emission properties of Beishan granite, Gansu Province, China	50
Integrated natural disasters urban resilience evaluation: the case of China	50
Impacts of earthquake knowledge and risk perception on earthquake preparedness of rural residents	48
Flood risk index in data-scarce river basins using the AHP and GIS approach	46
Soil erosion assessment using earth observation data in a trans-boundary river basin	45
Drought disaster monitoring and land use dynamics: identification of drought drivers using regression-based algorithms	45

Investigation on the effect of inclined crest step pool on scouring protection in erodible river beds	44
Spatio‐temporal trend analysis of drought in the GAP Region, Turkey	43
The impact of extreme weather events on water quality: international evidence	43
Hazard zonation mapping of earthquake-induced secondary effects using spatial multi-criteria analysis	42
Prediction of safety factors for slope stability: comparison of machine learning techniques	42
Predicting and analyzing flood susceptibility using boosting-based ensemble machine learning algorithms with SHapley Additive exPlanations	41
Emergency response process for sudden rainstorm and flooding: scenario deduction and Bayesian network analysis using evidence theory and knowledge meta-theory	40
Deduction of sudden rainstorm scenarios: integrating decision makers' emotions, dynamic Bayesian network and DS evidence theory	40
Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: advances, challenges, and opportunities	39
Copula-based multivariate standardized drought index (MSDI) and length, severity, and frequency of hydrological drought in the Upper Sakarya Basin, Turkey	38
Climate change impact on extreme precipitation and peak flood magnitude and frequency: observations from CMIP6 and hydrological models	38
Buildings Damages after Elazığ, Turkey Earthquake on January 24, 2020	37