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 2020-07-01 to 2024-07-01.)
ArticleCitations
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms126
Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction125
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction95
District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process73
Projections of precipitation over China based on CMIP6 models72
Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model66
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India63
Review of landslide susceptibility assessment based on knowledge mapping57
Meteorological impacts on the incidence of COVID-19 in the U.S.54
Stream water quality prediction using boosted regression tree and random forest models53
Exposure and health: A progress update by evaluation and scientometric analysis50
A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression49
A probabilistic-deterministic analysis of human health risk related to the exposure to potentially toxic elements in groundwater of Urmia coastal aquifer (NW of Iran) with a special focus on arsenic s48
COVID-19 and water47
Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries47
Artificial Intelligence models for prediction of the tide level in Venice46
Sensitivity of normalized difference vegetation index (NDVI) to land surface temperature, soil moisture and precipitation over district Gautam Buddh Nagar, UP, India46
Development of new machine learning model for streamflow prediction: case studies in Pakistan44
A novel hybrid dragonfly optimization algorithm for agricultural drought prediction43
Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India39
LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios38
Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions38
Occupational health, safety and environmental risk assessment in textile production industry through a Bayesian BWM-VIKOR approach37
Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran35
Changes in monthly streamflow in the Hindukush–Karakoram–Himalaya Region of Pakistan using innovative polygon trend analysis35
A new soft computing model for daily streamflow forecasting35
Developing hybrid time series and artificial intelligence models for estimating air temperatures34
A comparison of statistical and machine learning methods for debris flow susceptibility mapping34
Stacking ensemble of deep learning methods for landslide susceptibility mapping in the Three Gorges Reservoir area, China33
Landslide susceptibility mapping in Three Gorges Reservoir area based on GIS and boosting decision tree model33
A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment32
Markov chain Monte Carlo with neural network surrogates: application to contaminant source identification31
Hybrid deep learning method for a week-ahead evapotranspiration forecasting31
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