100 citations as recorded by crossref.

1. Controls on hydrologic drought duration in near-natural streamflow in Europe and the USA E. Tijdeman et al. https://doi.org/10.5194/hess-20-4043-2016
2. The flood cooking book: ingredients and regional flavors of floods across Germany R. Merz et al. https://doi.org/10.1088/1748-9326/abb9dd
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4. Nonparametric catchment clustering using the data depth function S. Singh et al. https://doi.org/10.1080/02626667.2016.1168927
5. Characteristics and Controlling Factors of the Drought Runoff Coefficient R. Itsukushima https://doi.org/10.3390/w13091259
6. Regionalization of hydrological models for flow estimation in ungauged catchments in Ireland S. Golian et al. https://doi.org/10.1016/j.ejrh.2021.100859
7. Meta‐analysis of flow modeling performances—to build a matching system between catchment complexity and model types L. Zhuo et al. https://doi.org/10.1002/hyp.10371
8. Hydro-Geomorphologic-Based Water Budget at Event Time-Scale in A Mediterranean Headwater Catchment (Southern Italy) A. Cuomo & D. Guida https://doi.org/10.3390/hydrology8010020
9. Characteristics and process controls of statistical flood moments in Europe – a data-based analysis D. Lun et al. https://doi.org/10.5194/hess-25-5535-2021
10. Low-flow estimation beyond the mean – expectile loss and extreme gradient boosting for spatiotemporal low-flow prediction in Austria J. Laimighofer et al. https://doi.org/10.5194/hess-26-4553-2022
11. A process-based flood frequency analysis within a trivariate statistical framework. Application to a semi-arid Mediterranean case study S. Salazar-Galán et al. https://doi.org/10.1016/j.jhydrol.2021.127081
12. Design flood estimation for global river networks based on machine learning models G. Zhao et al. https://doi.org/10.5194/hess-25-5981-2021
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14. The role of station density for predicting daily runoff by top-kriging interpolation in Austria J. Parajka et al. https://doi.org/10.1515/johh-2015-0024
15. Assessing spatially-compounding drought probabilities in inter-basin water diversion: Insights from the Tao River water diversion project in China W. Zhou et al. https://doi.org/10.1016/j.ejrh.2025.102438
16. A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations A. Pugliese et al. https://doi.org/10.5194/hess-22-4633-2018
17. Introducing a probabilistic Budyko framework P. Greve et al. https://doi.org/10.1002/2015GL063449
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21. A hydrologic and river ice modelling framework for assessing ungauged sub-basin streamflow impact in a large cold-region river basin Y. Chen & Y. She https://doi.org/10.1080/02626667.2023.2251957
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23. Regional parent flood frequency distributions in Europe – Part 2: Climate and scale controls J. Salinas et al. https://doi.org/10.5194/hess-18-4391-2014
24. Regional flood frequency analysis and prediction in ungauged basins including estimation of major uncertainties for mid-Norway T. Hailegeorgis & K. Alfredsen https://doi.org/10.1016/j.ejrh.2016.11.004
25. Dependence of regionalization methods on the complexity of hydrological models in multiple climatic regions X. Yang et al. https://doi.org/10.1016/j.jhydrol.2019.124357
26. Heterogeneity measures in hydrological frequency analysis: review and new developments A. Requena et al. https://doi.org/10.5194/hess-21-1651-2017
27. A comparison of regional flood frequency analysis approaches in a simulation framework D. Ganora & F. Laio https://doi.org/10.1002/2016WR018604
28. Evolution of Hydrological Drought in Human Disturbed Areas: A Case Study in the Laohahe Catchment, Northern China Y. Liu et al. https://doi.org/10.1155/2016/5102568
29. Investigating the role of geology in the hydrological response of Mediterranean catchments prone to flash-floods: Regional modelling study and process understanding O. Vannier et al. https://doi.org/10.1016/j.jhydrol.2016.04.001
30. Low-Flow (7-Day, 10-Year) Classical Statistical and Improved Machine Learning Estimation Methodologies A. DelSanto et al. https://doi.org/10.3390/w15152813
31. Copula‐Based Modeling of Flood Control Reservoirs M. Balistrocchi et al. https://doi.org/10.1002/2017WR021345
32. Validation of a 30 m resolution flood hazard model of the conterminous United States O. Wing et al. https://doi.org/10.1002/2017WR020917
33. A stochastic event-based approach for flood estimation in catchments with mixed rainfall and snowmelt flood regimes V. Filipova et al. https://doi.org/10.5194/nhess-19-1-2019
34. Storage in South‐Eastern Australian Catchments A. Buzacott & R. Vervoort https://doi.org/10.1029/2021WR029799
35. Large-scale flash flood warning in China using deep learning G. Zhao et al. https://doi.org/10.1016/j.jhydrol.2021.127222
36. Streamflow simulation methods for ungauged and poorly gauged watersheds A. Loukas & L. Vasiliades https://doi.org/10.5194/nhess-14-1641-2014
37. Regionalisation of flood frequencies based on flood type-specific mixture distributions S. Fischer & A. Schumann https://doi.org/10.1016/j.hydroa.2021.100107
38. Multivariate power-law models for streamflow prediction in the Mekong Basin G. Lacombe et al. https://doi.org/10.1016/j.ejrh.2014.08.002
39. Regional Flood Frequency Analysis for a Poorly Gauged Basin Using the Simulated Flood Data and L-Moment Method D. Lee & N. Kim https://doi.org/10.3390/w11081717
40. Hydrological assessment for the availability of water for off-stream uses of Karatoa-Atrai River in Bangladesh S. Nowreen et al. https://doi.org/10.2166/wp.2020.034
41. Regional flood frequency analysis in North Africa Y. Tramblay et al. https://doi.org/10.1016/j.jhydrol.2024.130678
42. Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models R. Arsenault et al. https://doi.org/10.5194/hess-27-139-2023
43. Flood Frequency Analysis at Ungauged Sites Based on Regionally Estimated Streamflows A. Requena et al. https://doi.org/10.1175/JHM-D-16-0143.1
44. Conditional simulation for max-stable processes (CoSim-MSP): A framework for flood prediction at ungauged basins C. Awasthi & A. Sankarasubramanian https://doi.org/10.1016/j.advwatres.2026.105449
45. The Impact of an Open Water Balance Assumption on Understanding the Factors Controlling the Long‐Term Streamflow Components A. Ballarin et al. https://doi.org/10.1029/2022WR032413
46. Precipitation Concentration Impact on Flood frequency, Periodicities and Return Periods in Kaduna River E. Okonofua et al. https://doi.org/10.37933/nipes/7.3.2025.1464
47. Vegetation regulation on streamflow intra‐annual variability through adaption to climate variations S. Ye et al. https://doi.org/10.1002/2015GL066396
48. Estimating minimum streamflow from measurements at ungauged sites in regions with streamflow‐gauging networks C. Konrad & C. Rumsey https://doi.org/10.1002/hyp.13452
49. Perennial springs provide information to predict low flows in mountain basins F. Cervi et al. https://doi.org/10.1080/02626667.2017.1393541
50. Regionalisation of a PDM Model for Catchment Runoff in a Mountainous Region of Korea H. Chang et al. https://doi.org/10.1007/s12205-018-1629-7
51. A composite index framework for compound flood risk assessment J. Del-Rosal-Salido et al. https://doi.org/10.1038/s43247-025-02331-z
52. Framework for a multi-criteria decision support system for water permit allocation in Brazil C. Oliveira & P. Zeilhofer https://doi.org/10.1590/2318-0331.302520240129
53. Exploring the link between meteorological drought and streamflow: Effects of climate‐catchment interaction K. Haslinger et al. https://doi.org/10.1002/2013WR015051
54. Estimation of flood warning runoff thresholds in ungauged basins with asymmetric error functions E. Toth https://doi.org/10.5194/hess-20-2383-2016
55. Estimating extreme river discharges in Europe through a Bayesian network D. Paprotny & O. Morales-Nápoles https://doi.org/10.5194/hess-21-2615-2017
56. Prediction of flood quantiles at ungauged catchments for the contiguous USA using Artificial Neural Networks V. Filipova et al. https://doi.org/10.2166/nh.2021.082
57. Hydrological Drought Response to Meteorological Drought Propagation and Basin Characteristics (Case Study: Northwest of Algeria) A. Rahmouni et al. https://doi.org/10.3103/S1068373922090096
58. Enhancing Physical Similarity Approach to Predict Runoff in Ungauged Watersheds in Sub-Tropical Regions S. Narbondo et al. https://doi.org/10.3390/w12020528
59. Low-flow frequency analysis at ungauged sites based on regionally estimated streamflows A. Requena et al. https://doi.org/10.1016/j.jhydrol.2018.06.016
60. Intercomparison of regional flood frequency estimation procedures in West Africa S. Diop et al. https://doi.org/10.1007/s00477-026-03258-3
61. The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. https://doi.org/10.1080/02626667.2024.2385686
62. Regional flood frequency analysis at the global scale A. Smith et al. https://doi.org/10.1002/2014WR015814
63. Regional parent flood frequency distributions in Europe – Part 1: Is the GEV model suitable as a pan-European parent? J. Salinas et al. https://doi.org/10.5194/hess-18-4381-2014
64. Analytical estimation of annual runoff distribution in ungauged seasonally dry basins based on a first order Taylor expansion of the Fu's equation D. Caracciolo et al. https://doi.org/10.1016/j.advwatres.2017.09.019
65. Streamflow drought onset and severity explained by non‐linear responses between climate‐catchment and land surface processes A. Raut et al. https://doi.org/10.1002/hyp.15245
66. Uncertainty in the extreme flood magnitude estimates of large-scale flood hazard models L. Devitt et al. https://doi.org/10.1088/1748-9326/abfac4
67. Annual water, sediment, nutrient, and organic carbon fluxes in river basins: A global meta‐analysis as a function of scale M. Mutema et al. https://doi.org/10.1002/2014WR016668
68. Catchment characterization: Current descriptors, knowledge gaps and future opportunities L. Tarasova et al. https://doi.org/10.1016/j.earscirev.2024.104739
69. Hydrological prediction in ungauged basins based on spatiotemporal characteristics Q. Zhao et al. https://doi.org/10.1371/journal.pone.0313535
70. Hyper-resolution flood hazard mapping at the national scale G. Blöschl et al. https://doi.org/10.5194/nhess-24-2071-2024
71. Toward Global Stochastic River Flood Modeling O. Wing et al. https://doi.org/10.1029/2020WR027692
72. Impacts of spatial-temporal rainfall structures and antecedent wetness on flood variability at the catchment scale W. Yang et al. https://doi.org/10.1016/j.jhydrol.2026.135019
73. Stochastic Hybrid Event Based and Continuous Approach to Derive Flood Frequency Curve A. Sordo-Ward et al. https://doi.org/10.3390/w13141931
74. Evaluating the performance of random forest for large-scale flood discharge simulation L. Schoppa et al. https://doi.org/10.1016/j.jhydrol.2020.125531
75. A new few-shot learning model for runoff prediction: Demonstration in two data scarce regions M. Yang et al. https://doi.org/10.1016/j.envsoft.2023.105659
76. Dependence Between Extreme Rainfall Events and the Seasonality and Bivariate Properties of Floods. A Continuous Distributed Physically-Based Approach I. Gabriel-Martin et al. https://doi.org/10.3390/w11091896
77. Discussion of “Estimation of Exceedance Probability of Scour on Bridges Using Reliability Principles” by Manuel Contreras-Jara, Tomás Echaveguren, Alondra Chamorro, and Jose Vargas-Baecheler O. Link & A. Pizarro https://doi.org/10.1061/(ASCE)HE.1943-5584.0002188
78. Quantifying the roles of single stations within homogeneous regions using complex network analysis A. Agarwal et al. https://doi.org/10.1016/j.jhydrol.2018.06.050
79. Climate-catchment-soil control on hydrological droughts in peninsular India P. Ganguli et al. https://doi.org/10.1038/s41598-022-11293-7
80. An integrated regionalization framework for incorporating flood seasonality into agricultural flood risk assessments A. Scorzini et al. https://doi.org/10.1007/s00477-025-03137-3
81. Streamflow prediction in ungauged catchments by using the Grunsky method B. Marchezepe et al. https://doi.org/10.1016/j.iswcr.2023.06.004
82. Parsimonious statistical learning models for low-flow estimation J. Laimighofer et al. https://doi.org/10.5194/hess-26-129-2022
83. Transferability of regionalization methods under changing climate X. Yang et al. https://doi.org/10.1016/j.jhydrol.2018.10.030
84. Coupled Data Analytics–SWAT Approach for Flow Generation and Analysis in Ungauged Tropical Watershed A. Manekar & M. Ramadas https://doi.org/10.1061/JHYEFF.HEENG-5964
85. The European 2015 drought from a hydrological perspective G. Laaha et al. https://doi.org/10.5194/hess-21-3001-2017
86. Regional regression models of percentile flows for the contiguous United States: Expert versus data-driven independent variable selection G. Fouad et al. https://doi.org/10.1016/j.ejrh.2018.04.002
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88. Large-sample hydrology: a need to balance depth with breadth H. Gupta et al. https://doi.org/10.5194/hess-18-463-2014
89. Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources J. Willard et al. https://doi.org/10.1017/eds.2024.14
90. Calibrated uncertainty for continental design flood estimation using conformal probabilistic machine learning M. El baida et al. https://doi.org/10.1016/j.jhydrol.2026.135864
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95. Hydrological analysis of stream flow in the Awetu River, Ethiopia D. Bayana et al. https://doi.org/10.1007/s42452-026-08428-0
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97. Can continuous simulation be used as an alternative for flood regionalisation? A large sample example from Chile P. Acuña & A. Pizarro https://doi.org/10.1016/j.jhydrol.2023.130118
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