Stochastic Environmental Research and Risk Assessment

Papers
(The H4-Index of Stochastic Environmental Research and Risk Assessment is 30. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
A review in stability of stochastic prey–predator models104
Quantifying the weekly cycle effect of air pollution in cities of China95
Enhancing bed load prediction accuracy through advanced multi-parameter analysis: a new temperature-sensitive approach validated across 783 river measurements81
Semi-supervised deep learning based on label propagation algorithm for debris flow susceptibility assessment in few-label scenarios74
Modelling multidecadal variability in flood frequency using the Two-Component Extreme Value distribution69
Spatio-temporal predictive coding for weather forecasting and Governance: a plug-and-play module for causal discovery and data augmentation63
The effect of different soil databases on parameter and prediction uncertainty quantification for hydrological modelling56
Determining the percentile threshold of daily extreme precipitation, methods evaluation53
Multivariate stochastic Vasicek diffusion process: computational estimation and application to the analysis of $$CO_2$$ and $$N_2O$$ concentrations50
Coupled hydrogeophysical inversion through ensemble smoother with multiple data assimilation and convolutional neural network for contaminant plume reconstruction48
Assessment of loss of life caused by dam failure based on fuzzy theory and hybrid random forest model46
Nitrate pollution source apportionment and uncertainty analysis in typical water diversion source area based on nitrogen and oxygen isotopes and the mixsiar modeling45
A spatially-coherent attribution framework for interpreting black-box tropical cyclone intensity forecasts43
Assessing machine learning and Physics-Informed models for Multi-Lead time sea surface temperature prediction in the Arabian sea41
Novel MCDA methods for flood hazard mapping: a case study in Hamadan, Iran41
Simulation of earthquake ground motion via stochastic finite-fault modeling considering the effect of rupture velocity40
Empirical mode decomposition for improved radar wind estimation during rainy conditions37
A new interpretable prediction framework for step-like landslide displacement37
A conditional machine learning classification approach for spatio-temporal risk assessment of crime data36
Peaks-over-threshold based regional flood frequency analysis models based on ordinary kriging: a case study for Eastern Australia35
Drought risk assessment for agriculture in Afghanistan34
Multifractal characterization of meteorological droughts in Türkiye’s mediterranean region using visibility graph approaches34
Multi-model integration framework for monthly runoff prediction based on variational mode decomposition (VMD) and trend-based modeling33
WaveTransTimesNet: an enhanced deep learning monthly runoff prediction model based on wavelet transform and transformer architecture33
Modeling and predicting mean indoor radon concentrations in Austria by generalized additive mixed models33
Data assimilation for PFOA transport in vadose zone using EnKF with modified HYDRUS-1D32
Correction: Time-varying sensitivity analysis for mixing in chaotic flows: a comparison study32
A physics-guided machine learning framework for accurate reconstruction of missing discharge records: case study of the Gandak River at Hajipur, India31
Assessing climate change risks using multi-criteria decision-making (MCDM) techniques in Raichur Taluk, Karnataka, India30
Intercomparison of AI forecasts and numerical weather predictions for the July 2021 extreme precipitation event in Henan, China30
Hydrometeorological-modeling-based analysis and risk assessment of a torrential rainfall flash flood in a data deficient area in Wenchuan County, Sichuan Province, China30
Evaluating extreme precipitation in gridded datasets with a novel station database in Morocco30
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