# | Title | Journal | Year | Citations |
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1 | Maximum likelihood Bayesian averaging of uncertain model predictions | Stochastic Environmental Research and Risk Assessment | 2003 | 364 |
2 | Drought forecasting using stochastic models | Stochastic Environmental Research and Risk Assessment | 2005 | 356 |
3 | Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling? | Stochastic Environmental Research and Risk Assessment | 2009 | 337 |
4 | A simulation of probabilistic wildfire risk components for the continental United States | Stochastic Environmental Research and Risk Assessment | 2011 | 315 |
5 | Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method | Stochastic Environmental Research and Risk Assessment | 2015 | 307 |
6 | Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHP | Stochastic Environmental Research and Risk Assessment | 2013 | 305 |
7 | Geometric approach to statistical analysis on the simplex | Stochastic Environmental Research and Risk Assessment | 2001 | 284 |
8 | Model identification for hydrological forecasting under uncertainty | Stochastic Environmental Research and Risk Assessment | 2005 | 269 |
9 | A machine learning forecasting model for COVID-19 pandemic in India | Stochastic Environmental Research and Risk Assessment | 2020 | 253 |
10 | Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model | Stochastic Environmental Research and Risk Assessment | 2020 | 231 |
11 | Interannual climate variability in South America: impacts on seasonal precipitation, extreme events, and possible effects of climate change | Stochastic Environmental Research and Risk Assessment | 2011 | 209 |
12 | Monthly runoff forecasting based on LSTM–ALO model | Stochastic Environmental Research and Risk Assessment | 2018 | 209 |
13 | Rainfall modelling using Poisson-cluster processes: a review of developments | Stochastic Environmental Research and Risk Assessment | 2000 | 207 |
14 | Return period of bivariate distributed extreme hydrological events | Stochastic Environmental Research and Risk Assessment | 2003 | 202 |
15 | An interactive biplot implementation in R for modeling genotype-by-environment interaction | Stochastic Environmental Research and Risk Assessment | 2014 | 194 |
16 | Dismissing return periods! | Stochastic Environmental Research and Risk Assessment | 2015 | 193 |
17 | Changing properties of precipitation concentration in the Pearl River basin, China | Stochastic Environmental Research and Risk Assessment | 2009 | 191 |
18 | Streamflow drought time series forecasting | Stochastic Environmental Research and Risk Assessment | 2007 | 189 |
19 | Meta-elliptical copulas for drought frequency analysis of periodic hydrologic data | Stochastic Environmental Research and Risk Assessment | 2010 | 188 |
20 | Urbanization, urban land expansion and environmental change in China | Stochastic Environmental Research and Risk Assessment | 2014 | 180 |
21 | Risk-based environmental decision-making using fuzzy analytic hierarchy process (F-AHP) | Stochastic Environmental Research and Risk Assessment | 2006 | 177 |
22 | Drought characterization: a probabilistic approach | Stochastic Environmental Research and Risk Assessment | 2009 | 173 |
23 | Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model | Stochastic Environmental Research and Risk Assessment | 2017 | 173 |
24 | Analysis of dry/wet conditions using the standardized precipitation index and its potential usefulness for drought/flood monitoring in Hunan Province, China | Stochastic Environmental Research and Risk Assessment | 2013 | 171 |
25 | Why do we need and how should we implement Bayesian kriging methods | Stochastic Environmental Research and Risk Assessment | 2008 | 169 |
26 | ARIMA forecasting of ambient air pollutants (O3, NO, NO2 and CO) | Stochastic Environmental Research and Risk Assessment | 2010 | 164 |
27 | Environmental decision-making under uncertainty using intuitionistic fuzzy analytic hierarchy process (IF-AHP) | Stochastic Environmental Research and Risk Assessment | 2009 | 163 |
28 | Climate changes and their impacts on water resources in the arid regions: a case study of the Tarim River basin, China | Stochastic Environmental Research and Risk Assessment | 2010 | 162 |
29 | Comparison of SDSM and LARS-WG for simulation and downscaling of extreme precipitation events in a watershed | Stochastic Environmental Research and Risk Assessment | 2011 | 161 |
30 | A review of advances in urban flood risk analysis over China | Stochastic Environmental Research and Risk Assessment | 2015 | 158 |
31 | A six-step practical approach to semivariogram modeling | Stochastic Environmental Research and Risk Assessment | 2006 | 151 |
32 | Estimation of future precipitation change in the Yangtze River basin by using statistical downscaling method | Stochastic Environmental Research and Risk Assessment | 2011 | 149 |
33 | Frequency analysis of droughts using the Plackett copula and parameter estimation by genetic algorithm | Stochastic Environmental Research and Risk Assessment | 2010 | 146 |
34 | Global climate change and its impacts on water resources planning and management: assessment and challenges | Stochastic Environmental Research and Risk Assessment | 2011 | 146 |
35 | The North Atlantic Oscillation | Stochastic Environmental Research and Risk Assessment | 2000 | 142 |
36 | Analysis of reservoir water quality using fuzzy synthetic evaluation | Stochastic Environmental Research and Risk Assessment | 1999 | 137 |
37 | Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran | Stochastic Environmental Research and Risk Assessment | 2016 | 135 |
38 | Statistical approach to inverse distance interpolation | Stochastic Environmental Research and Risk Assessment | 2009 | 133 |
39 | Multiple criteria decision making and decision support systems for flood risk management | Stochastic Environmental Research and Risk Assessment | 2005 | 132 |
40 | Trends in the average temperature in Finland, 1847–2013 | Stochastic Environmental Research and Risk Assessment | 2015 | 130 |
41 | Comparison of point forecast accuracy of model averaging methods in hydrologic applications | Stochastic Environmental Research and Risk Assessment | 2010 | 129 |
42 | Spatial-temporal rainfall modelling for flood risk estimation | Stochastic Environmental Research and Risk Assessment | 2005 | 128 |
43 | Adaptive Neuro-Fuzzy Inference System for drought forecasting | Stochastic Environmental Research and Risk Assessment | 2009 | 125 |
44 | Integrated national-scale assessment of wildfire risk to human and ecological values | Stochastic Environmental Research and Risk Assessment | 2011 | 124 |
45 | Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction | Stochastic Environmental Research and Risk Assessment | 2021 | 119 |
46 | Quantifying geographic variations in associations between alcohol distribution and violence: a comparison of geographically weighted regression and spatially varying coefficient models | Stochastic Environmental Research and Risk Assessment | 2007 | 116 |
47 | Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms | Stochastic Environmental Research and Risk Assessment | 2020 | 116 |
48 | Indian summer monsoon rainfall prediction using artificial neural network | Stochastic Environmental Research and Risk Assessment | 2013 | 112 |
49 | Spatial heterogeneity of economic development and industrial pollution in urban China | Stochastic Environmental Research and Risk Assessment | 2014 | 109 |
50 | Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models | Stochastic Environmental Research and Risk Assessment | 2016 | 109 |