Journal of Hydrologic Engineering

Papers
(The H4-Index of Journal of Hydrologic Engineering is 14. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Analytically Supported Numerical Modeling of Horizontal and Radial Collector Wells105
Discussion of “Application of a Hybrid Model Based on Secondary Decomposition and ELM Neural Network in Water Level Prediction”83
Impact of Progressive Reservoir Construction on Nonstationary Sediment Load Response to Streamflow in the Upper Yangtze River, China30
Analysis of Extreme Precipitation under Nonstationary Conditions in the Yangtze River Basin23
Closure to “ANFIS Modeling with ICA, BBO, TLBO, and IWO Optimization Algorithms and Sensitivity Analysis for Predicting Daily Reference Evapotranspiration” by Maryam Zeinolabedini Rezaabad, Sadegh Gha21
Long-Term Streamflow Prediction Using Hybrid SVR-ANN Based on Bayesian Model Averaging20
Statistical Modeling of Spatial Extremes through Max-Stable Process Models: Application to Extreme Rainfall Events in South Africa20
Regional Trends and Spatiotemporal Analysis of Rainfall and Groundwater in the West Coast Basins of India19
Discussion of “Nonoverlapping Block Stratified Random Sampling Approach for Assessment of Stationarity” by Ramesh S. V. Teegavarapu and Priyank J. Sharma17
NRCS Curve Number Method: Comparison of Methods for Estimating the Curve Number from Rainfall-Runoff Data16
Utilizing the Scale Invariance Principle for Deriving a Regional Intensity-Duration-Frequency Relationship in the Metropolitan Region of Belo Horizonte, Brazil14
Discussion of “Runoff Predictions in a Semiarid Watershed by Convolutional Neural Networks Improved with Metaheuristic Algorithms and Forced with Reanalysis and Climate Data”14
Investigating the Spatiotemporal Complexity of Rainfall from a Chaotic Perspective: Case Study in the Jinsha River Basin, China14
Improving Rainfall Fields in Data-Scarce Basins: Influence of the Kernel Bandwidth Value of Merging on Hydrometeorological Modeling14
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