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 2022-07-01 to 2026-07-01.)
ArticleCitations
A review in stability of stochastic prey–predator models104
Quantifying the weekly cycle effect of air pollution in cities of China96
Spatio-temporal predictive coding for weather forecasting and Governance: a plug-and-play module for causal discovery and data augmentation84
The effect of different soil databases on parameter and prediction uncertainty quantification for hydrological modelling74
Multivariate stochastic Vasicek diffusion process: computational estimation and application to the analysis of $$CO_2$$ and $$N_2O$$ concentrations70
Coupled hydrogeophysical inversion through ensemble smoother with multiple data assimilation and convolutional neural network for contaminant plume reconstruction66
A spatially-coherent attribution framework for interpreting black-box tropical cyclone intensity forecasts56
Novel MCDA methods for flood hazard mapping: a case study in Hamadan, Iran55
Assessing machine learning and Physics-Informed models for Multi-Lead time sea surface temperature prediction in the Arabian sea52
Empirical mode decomposition for improved radar wind estimation during rainy conditions49
A new interpretable prediction framework for step-like landslide displacement47
A conditional machine learning classification approach for spatio-temporal risk assessment of crime data46
Peaks-over-threshold based regional flood frequency analysis models based on ordinary kriging: a case study for Eastern Australia46
Multifractal characterization of meteorological droughts in Türkiye’s mediterranean region using visibility graph approaches45
Drought risk assessment for agriculture in Afghanistan44
Multi-model integration framework for monthly runoff prediction based on variational mode decomposition (VMD) and trend-based modeling42
Modeling and predicting mean indoor radon concentrations in Austria by generalized additive mixed models40
WaveTransTimesNet: an enhanced deep learning monthly runoff prediction model based on wavelet transform and transformer architecture38
Hydrometeorological-modeling-based analysis and risk assessment of a torrential rainfall flash flood in a data deficient area in Wenchuan County, Sichuan Province, China37
Assessing climate change risks using multi-criteria decision-making (MCDM) techniques in Raichur Taluk, Karnataka, India37
A physics-guided machine learning framework for accurate reconstruction of missing discharge records: case study of the Gandak River at Hajipur, India34
Determining the percentile threshold of daily extreme precipitation, methods evaluation34
Correction: Time-varying sensitivity analysis for mixing in chaotic flows: a comparison study34
Data assimilation for PFOA transport in vadose zone using EnKF with modified HYDRUS-1D34
Intercomparison of AI forecasts and numerical weather predictions for the July 2021 extreme precipitation event in Henan, China33
Semi-supervised deep learning based on label propagation algorithm for debris flow susceptibility assessment in few-label scenarios32
Evaluating extreme precipitation in gridded datasets with a novel station database in Morocco32
Assessment of loss of life caused by dam failure based on fuzzy theory and hybrid random forest model32
Scale-dependent truncated Lévy modeling of Gamma-ray log increments for characterizing stratigraphic heterogeneity in IODP well logs31
Modelling multidecadal variability in flood frequency using the Two-Component Extreme Value distribution31
Enhancing bed load prediction accuracy through advanced multi-parameter analysis: a new temperature-sensitive approach validated across 783 river measurements30
Nitrate pollution source apportionment and uncertainty analysis in typical water diversion source area based on nitrogen and oxygen isotopes and the mixsiar modeling30
Simulation of earthquake ground motion via stochastic finite-fault modeling considering the effect of rupture velocity30
0.41482186317444