Hydrology Research

Papers
(The H4-Index of Hydrology Research is 19. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Detecting floating litter in freshwater bodies with adaptive feature fusion94
Alternative method for determining available winter water volumes from lakes to support small-scale projects55
Determination of the coefficient of friction in the penstock of a hydro-electric dam: Application of two approaches35
Baseflow index characterization in typical temperate to dry climates: conceptual analysis and simulation experiment to assess the relative role of climate forcing features and catchment geological set31
Assessing rainfall–streamflow sensitivity and dry-season flow recovery following livestock eviction in a semiarid African catchment30
An improved eco-flow metrics and its interpretability for urban rivers: quantifying by the environmental flow components using SHAP30
Modelling non-stationary flood frequency in England and Wales using physical covariates28
Comparative analysis and risk assessment of dam-break floods: Taking Pingshuijiang Reservoir as an example26
Hydrogeochemical and isotopic investigation of the multilayer aquifer system: a case study of the Quaternary and the Campanian aquifers of the Mateur plain, Northern Tunisia26
Role of groundwater discharge in sustaining baseflow balance in the middle reaches of the Yarlung Zangbo River25
Reducing uncertainty in flow simulations for lake catchments using SWAT +24
Spatial and temporal runoff prediction method based on multi-source data24
Dependence of daily precipitation and wind speed over coastal areas: evidence from China's coastline24
Spatio-temporal variation of annual precipitation in China and its response to ENSO24
Sequential coupling of HBV-light and MODFLOW models to assess water table variations under the future climate in agricultural peatlands23
Application of machine learning techniques in the evaluation of local groundwater level using field gravity data: Insights from random forest and random tree23
Modelling the influence of future climate and land-use change on fluvial flood inundation in data-scarce regions using CMIP6 ensembles, FABDEM and a validated 2D hydrodynamic model21
Neural network model predictions for phosphorus management strategies on tile-drained organic soils19
Application of innovative trend analysis methodology to evaluate long-term spatial-temporal variations in groundwater fluctuations19
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