Stochastic Environmental Research and Risk Assessment

(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 2020-02-01 to 2024-02-01.)
A machine learning forecasting model for COVID-19 pandemic in India236
Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model217
Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction114
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms112
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction84
An improved long short-term memory network for streamflow forecasting in the upper Yangtze River61
District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process61
Evaluating severity–area–frequency (SAF) of seasonal droughts in Bangladesh under climate change scenarios55
Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model54
Projections of precipitation over China based on CMIP6 models53
Meteorological impacts on the incidence of COVID-19 in the U.S.53
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India51
Assessment of occupational risks from human health and environmental perspectives: a new integrated approach and its application using fuzzy BWM and fuzzy MAIRCA49
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 s44
A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression43
Artificial Intelligence models for prediction of the tide level in Venice41
Effects of land use cover change on carbon emissions and ecosystem services in Chengyu urban agglomeration, China41
Review of landslide susceptibility assessment based on knowledge mapping40
Dissecting innovative trend analysis39
Development of new machine learning model for streamflow prediction: case studies in Pakistan39
Exposure and health: A progress update by evaluation and scientometric analysis38
A novel hybrid dragonfly optimization algorithm for agricultural drought prediction38
Stream water quality prediction using boosted regression tree and random forest models38
Sensitivity of normalized difference vegetation index (NDVI) to land surface temperature, soil moisture and precipitation over district Gautam Buddh Nagar, UP, India36
Forest landscape visual quality evaluation using artificial intelligence techniques as a decision support system33
Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran32
Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries32
Occupational health, safety and environmental risk assessment in textile production industry through a Bayesian BWM-VIKOR approach32
Trends in temperature and precipitation extremes in historical (1961–1990) and projected (2061–2090) periods in a data scarce mountain basin, northern Pakistan31
Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India30