Stochastic Environmental Research and Risk Assessment

Papers
(The H4-Index of Stochastic Environmental Research and Risk Assessment is 31. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Modelling multidecadal variability in flood frequency using the Two-Component Extreme Value distribution131
Empirical mode decomposition for improved radar wind estimation during rainy conditions106
Application of uncertain hurricane climate change projections to catastrophe risk models97
Multivariate stochastic Vasicek diffusion process: computational estimation and application to the analysis of $$CO_2$$ and $$N_2O$$ concentrations82
Assessment of loss of life caused by dam failure based on fuzzy theory and hybrid random forest model65
Simulation of earthquake ground motion via stochastic finite-fault modeling considering the effect of rupture velocity63
Nitrate pollution source apportionment and uncertainty analysis in typical water diversion source area based on nitrogen and oxygen isotopes and the mixsiar modeling61
A conditional machine learning classification approach for spatio-temporal risk assessment of crime data61
A new interpretable prediction framework for step-like landslide displacement60
WaveTransTimesNet: an enhanced deep learning monthly runoff prediction model based on wavelet transform and transformer architecture53
Evaluating extreme precipitation in gridded datasets with a novel station database in Morocco50
Enhancing bed load prediction accuracy through advanced multi-parameter analysis: a new temperature-sensitive approach validated across 783 river measurements50
A review in stability of stochastic prey–predator models47
Assessing machine learning and Physics-Informed models for Multi-Lead time sea surface temperature prediction in the Arabian sea46
Assessing climate change risks using multi-criteria decision-making (MCDM) techniques in Raichur Taluk, Karnataka, India45
Novel MCDA methods for flood hazard mapping: a case study in Hamadan, Iran45
Quantifying the weekly cycle effect of air pollution in cities of China44
Determining the percentile threshold of daily extreme precipitation, methods evaluation40
Semi-supervised deep learning based on label propagation algorithm for debris flow susceptibility assessment in few-label scenarios37
Hydrometeorological-modeling-based analysis and risk assessment of a torrential rainfall flash flood in a data deficient area in Wenchuan County, Sichuan Province, China36
Modeling and predicting mean indoor radon concentrations in Austria by generalized additive mixed models35
A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases34
Master equation model for solute transport in river basins: part I channel fluvial scale31
Spatiotemporal data science: theoretical advances and applications31
An ensemble learning strategy for spatiotemporal drought assessment through the fusion of multi-satellite and atmospheric reanalysis precipitation products31
Coupled hydrogeophysical inversion through ensemble smoother with multiple data assimilation and convolutional neural network for contaminant plume reconstruction31
Addressing the relevance of COVID–19 pandemic in nature and human socio-economic fate31
A multi-type branching process model for epidemics with application to COVID-1931
A Bayesian spatio-temporal model for cluster detection: identifying HPV suboptimal vaccine coverage31
An innovative framework for real-time monitoring of pollutant point sources in river networks31
Developing an earthquake damaged-based multi-severity casualty method by using Monte Carlo simulation and fuzzy logic; case study: Mosha fault seismic scenario, Tehran, Iran31
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