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 2020-03-01 to 2024-03-01.)
ArticleCitations
A machine learning forecasting model for COVID-19 pandemic in India241
Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction117
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms113
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction87
District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process62
Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model58
Projections of precipitation over China based on CMIP6 models57
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India55
Meteorological impacts on the incidence of COVID-19 in the U.S.53
Assessment of occupational risks from human health and environmental perspectives: a new integrated approach and its application using fuzzy BWM and fuzzy MAIRCA50
COVID-19 and water47
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 s46
Review of landslide susceptibility assessment based on knowledge mapping45
A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression44
Effects of land use cover change on carbon emissions and ecosystem services in Chengyu urban agglomeration, China43
Artificial Intelligence models for prediction of the tide level in Venice43
Stream water quality prediction using boosted regression tree and random forest models43
Dissecting innovative trend analysis41
Development of new machine learning model for streamflow prediction: case studies in Pakistan40
Exposure and health: A progress update by evaluation and scientometric analysis40
A novel hybrid dragonfly optimization algorithm for agricultural drought prediction39
Sensitivity of normalized difference vegetation index (NDVI) to land surface temperature, soil moisture and precipitation over district Gautam Buddh Nagar, UP, India38
Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries35
Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran33
Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India33
Forest landscape visual quality evaluation using artificial intelligence techniques as a decision support system33
Occupational health, safety and environmental risk assessment in textile production industry through a Bayesian BWM-VIKOR approach33
LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios33
Trends in temperature and precipitation extremes in historical (1961–1990) and projected (2061–2090) periods in a data scarce mountain basin, northern Pakistan31
A new soft computing model for daily streamflow forecasting30
Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions30
Developing hybrid time series and artificial intelligence models for estimating air temperatures30
Suitability of data preprocessing methods for landslide displacement forecasting30
A new principal component analysis by particle swarm optimization with an environmental application for data science30
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