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 2021-09-01 to 2025-09-01.)
ArticleCitations
Modelling multidecadal variability in flood frequency using the Two-Component Extreme Value distribution122
WaveTransTimesNet: an enhanced deep learning monthly runoff prediction model based on wavelet transform and transformer architecture97
Empirical mode decomposition for improved radar wind estimation during rainy conditions94
Application of uncertain hurricane climate change projections to catastrophe risk models78
Multivariate stochastic Vasicek diffusion process: computational estimation and application to the analysis of $$CO_2$$ and $$N_2O$$ concentrations64
Quantifying the weekly cycle effect of air pollution in cities of China62
A conditional machine learning classification approach for spatio-temporal risk assessment of crime data58
Determining the percentile threshold of daily extreme precipitation, methods evaluation58
Coupled hydrogeophysical inversion through ensemble smoother with multiple data assimilation and convolutional neural network for contaminant plume reconstruction56
Hydrometeorological-modeling-based analysis and risk assessment of a torrential rainfall flash flood in a data deficient area in Wenchuan County, Sichuan Province, China56
Evaluating extreme precipitation in gridded datasets with a novel station database in Morocco50
A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases46
A review in stability of stochastic prey–predator models44
Modeling and predicting mean indoor radon concentrations in Austria by generalized additive mixed models43
Simulation of earthquake ground motion via stochastic finite-fault modeling considering the effect of rupture velocity43
A new interpretable prediction framework for step-like landslide displacement42
Enhancing bed load prediction accuracy through advanced multi-parameter analysis: a new temperature-sensitive approach validated across 783 river measurements41
Addressing the relevance of COVID–19 pandemic in nature and human socio-economic fate41
Assessing machine learning and Physics-Informed models for Multi-Lead time sea surface temperature prediction in the Arabian sea38
Semi-supervised deep learning based on label propagation algorithm for debris flow susceptibility assessment in few-label scenarios37
Novel MCDA methods for flood hazard mapping: a case study in Hamadan, Iran36
Assessing climate change risks using multi-criteria decision-making (MCDM) techniques in Raichur Taluk, Karnataka, India35
Assessment of loss of life caused by dam failure based on fuzzy theory and hybrid random forest model34
Classification of groundwater source protection areas in heterogeneous aquifers in plain areas based on Monte Carlo method31
Predictive modeling of water quality index (WQI) classes in Indian rivers: Insights from the application of multiple Machine Learning (ML) models on a decennial dataset31
Spatiotemporal data science: theoretical advances and applications31
Master equation model for solute transport in river basins: part I channel fluvial scale31
A Bayesian spatio-temporal model for cluster detection: identifying HPV suboptimal vaccine coverage31
Developing an earthquake damaged-based multi-severity casualty method by using Monte Carlo simulation and fuzzy logic; case study: Mosha fault seismic scenario, Tehran, Iran30
Inferring causal associations in hydrological systems: a comparison of methods30
Forecasting short- and medium-term streamflow using stacked ensemble models and different meta-learners30
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