OOIR: Observatory of International Research

Papers

(The H4-Index of Water Resources Management is 33. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Ensemble Boosting and Bagging Based Machine Learning Models for Groundwater Potential Prediction	134
Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping	107
Performance Comparison of an LSTM-based Deep Learning Model versus Conventional Machine Learning Algorithms for Streamflow Forecasting	80
Employing Machine Learning Algorithms for Streamflow Prediction: A Case Study of Four River Basins with Different Climatic Zones in the United States	80
Evaluation of Soil Moisture Climatology and Anomaly Components Derived From ERA5-Land and GLDAS-2.1 in China	71
Hydrological Response to Agricultural Land Use Heterogeneity Using Variable Infiltration Capacity Model	70
Uncertainty Analysis of Climate Change Impacts on Flood Frequency by Using Hybrid Machine Learning Methods	68
Developing Novel Robust Models to Improve the Accuracy of Daily Streamflow Modeling	60
Flood Inundation Mapping and Impact Assessment Using Multi-Temporal Optical and SAR Satellite Data: a Case Study of 2017 Flood in Darbhanga District, Bihar, India	51
An Ensemble Hybrid Forecasting Model for Annual Runoff Based on Sample Entropy, Secondary Decomposition, and Long Short-Term Memory Neural Network	50
Streamflow Variations in Monthly, Seasonal, Annual and Extreme Values Using Mann-Kendall, Spearmen’s Rho and Innovative Trend Analysis	48
FingerPro: an R Package for Tracking the Provenance of Sediment	46
Application of Artificial Neural Networks, Support Vector Machine and Multiple Model-ANN to Sediment Yield Prediction	46
Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling	46
Incorporating Social System into Water-Food-Energy Nexus	46
Water Conflict Management between Agriculture and Wetland under Climate Change: Application of Economic-Hydrological-Behavioral Modelling	45
Performance Enhancement Model for Rainfall Forecasting Utilizing Integrated Wavelet-Convolutional Neural Network	41
Development of Bio-Inspired- and Wavelet-Based Hybrid Models for Reconnaissance Drought Index Modeling	39
Implementing Crop Evapotranspiration in RDI for Farm-Level Drought Evaluation and Adaptation under Climate Change Conditions	39
Advancing the Water Footprint into an Instrument to Support Achieving the SDGs – Recommendations from the “Water as a Global Resources” Research Initiative (GRoW)	39
Land Cover Change and Flood Risk in a Peri-Urban Environment of the Metropolitan Area of Rome (Italy)	38
Monthly Streamflow Forecasting Using Convolutional Neural Network	38
Response of Non-point Source Pollution Loads to Land Use Change under Different Precipitation Scenarios from a Future Perspective	38
Using Optimized Deep Learning to Predict Daily Streamflow: A Comparison to Common Machine Learning Algorithms	37
Separation of the Impact of Landuse/Landcover Change and Climate Change on Runoff in the Upstream Area of the Yangtze River, China	37

Simulating Future Groundwater Recharge in Coastal and Inland Catchments	37
A New Method for Joint Frequency Analysis of Modified Precipitation Anomaly Percentage and Streamflow Drought Index Based on the Conditional Density of Copula Functions	36
A Novel LSSVM Model Integrated with GBO Algorithm to Assessment of Water Quality Parameters	36
A Hybrid VMD-SVM Model for Practical Streamflow Prediction Using an Innovative Input Selection Framework	35
Adaptation of Water Resources System to Water Scarcity and Climate Change in the Suburb Area of Megacities	35
International Environmental Conflict Management in Transboundary River Basins	34
Short to Long-Term Forecasting of River Flows by Heuristic Optimization Algorithms Hybridized with ANFIS	33
Hybrid SSA-ARIMA-ANN Model for Forecasting Daily Rainfall	33
An Ensemble Modeling Approach to Forecast Daily Reservoir Inflow Using Bidirectional Long- and Short-Term Memory (Bi-LSTM), Variational Mode Decomposition (VMD), and Energy Entropy Method	33