60 citations as recorded by crossref.

1. A bilevel modeling framework to analyze the institutional gap between research and operation practices – Case on the Three Gorges Reservoir pre-impoundment problem X. Wang et al. 10.1016/j.jhydrol.2020.124742
2. Investigating the spatial–temporal changes of flood events across the Yangtze River Basin, China: Identification, spatial heterogeneity, and dominant impact factors J. Yu et al. 10.1016/j.jhydrol.2023.129503
3. Flood Seasonality Analysis in Iran: A Circular Statistics Approach M. Bagheri-Gavkosh & S. Hosseini 10.1061/JHYEFF.HEENG-5786
4. The Relative Importance of Different Flood‐Generating Mechanisms Across Europe W. Berghuijs et al. 10.1029/2019WR024841
5. Flood Inundation Generation Mechanisms and Their Changes in 1953–2004 in Global Major River Basins Y. Mao et al. 10.1029/2019JD031381
6. Features of the Earth’s seasonal hydroclimate: characterizations and comparisons across the Köppen–Geiger climates and across continents G. Papacharalampous et al. 10.1186/s40645-023-00574-y
7. Climate and rivers G. McGregor 10.1002/rra.3508
8. Historical and future changes in global flood magnitude – evidence from a model–observation investigation H. Do et al. 10.5194/hess-24-1543-2020
9. Identifying Climate Change Impacts On Hydrological Behavior On Large-Scale With Machine Learning Algorithms A. Ivanov et al. 10.24057/2071-9388-2022-087
10. Changing climate both increases and decreases European river floods G. Blöschl et al. 10.1038/s41586-019-1495-6
11. Flood trends in Europe: are changes in small and big floods different? M. Bertola et al. 10.5194/hess-24-1805-2020
12. A Novel Method of Design Flood Hydrographs Estimation for Flood Hazard Mapping W. Gądek et al. 10.3390/w14121856
13. The great 1983 floods in South American large rivers: a continental hydrological modelling approach A. Fleischmann et al. 10.1080/02626667.2020.1747622
14. Changes in Magnitude and Shifts in Timing of the Latvian River Annual Flood Peaks E. Apsīte et al. 10.3390/atmos15091139
15. Performance comparison of GPM IMERG V07 with its predecessor V06 and its application in extreme precipitation clustering over Türkiye H. Aksu & S. Yaldiz 10.1016/j.atmosres.2024.107840
16. The Timing of Global Floods and Its Association With Climate and Topography P. Torre Zaffaroni et al. 10.1029/2022WR032968
17. Characterising the coincidence of soil moisture – precipitation extremes as a possible precursor to European floods A. Manoj J et al. 10.1016/j.jhydrol.2023.129445
18. Mapping dynamic changes in hydrological time series using the average directional index M. Shamseddin & H. Elmeski 10.1080/15715124.2020.1776302
19. Hydro Explorer: An interactive web app to investigate changes in runoff timing and runoff seasonality all over the world E. Rottler et al. 10.1002/rra.3772
20. Hydroclimatic time series features at multiple time scales G. Papacharalampous et al. 10.1016/j.jhydrol.2023.129160
21. Regional flood risk analysis for agricultural crops: Insights from the implementation of AGRIDE-c in central Italy A. Scorzini et al. 10.1016/j.ijdrr.2020.101999
22. Uncovering Flooding Mechanisms Across the Contiguous United States Through Interpretive Deep Learning on Representative Catchments S. Jiang et al. 10.1029/2021WR030185
23. Modeling riverine flood seasonality with mixtures of circular probability density functions W. Veatch & G. Villarini 10.1016/j.jhydrol.2022.128330
24. Clustering Simultaneous Occurrences of the Extreme Floods in the Neckar Catchment E. Modiri & A. Bárdossy 10.3390/w13040399
25. Timescale-based flood typing to estimate temporal changes in flood frequencies S. Fischer et al. 10.1080/02626667.2019.1679376
26. Global‐Scale Prediction of Flood Timing Using Atmospheric Reanalysis H. Do et al. 10.1029/2019WR024945
27. Model-based assessment of flood generation mechanisms over Poland: The roles of precipitation, snowmelt, and soil moisture excess N. Venegas-Cordero et al. 10.1016/j.scitotenv.2023.164626
28. Global-scale massive feature extraction from monthly hydroclimatic time series: Statistical characterizations, spatial patterns and hydrological similarity G. Papacharalampous et al. 10.1016/j.scitotenv.2020.144612
29. Identification of homogeneous regions in terms of flood seasonality using a complex network approach W. Yang et al. 10.1016/j.jhydrol.2019.06.082
30. Nature-based solutions for hydro-meteorological hazards: Revised concepts, classification schemes and databases S. Debele et al. 10.1016/j.envres.2019.108799
31. GRUN: an observation-based global gridded runoff dataset from 1902 to 2014 G. Ghiggi et al. 10.5194/essd-11-1655-2019
32. On the Uncertainty and Changeability of the Estimates of Seasonal Maximum Flows I. Markiewicz et al. 10.3390/w12030704
33. Study on the Staged Operation of a Multi-Purpose Reservoir in Flood Season and Its Effect Evaluation C. Mo et al. 10.3390/w13182563
34. Improving Estuarine Flood Risk Knowledge through Documentary Data Using Multiple Correspondence Analysis A. Rilo et al. 10.3390/w14193161
35. Observation‐Constrained Projection of Global Flood Magnitudes With Anthropogenic Warming W. Liu et al. 10.1029/2020WR028830
36. Detecting Flood‐Rich and Flood‐Poor Periods in Annual Peak Discharges Across Europe D. Lun et al. 10.1029/2019WR026575
37. Statistical spatiotemporal analysis of hydro-morphological processes in China during 1950–2015 N. Wang et al. 10.1007/s00477-021-02007-y
38. Understanding flood seasonality and flood regime shift in the Congo River Basin G. Bola et al. 10.1080/02626667.2022.2083966
39. Seasonality, persistency, regionalization, and control mechanism of extreme rainfall over complex terrain A. Akbas 10.1007/s00704-023-04440-1
40. Machine learning models for river flow forecasting in small catchments M. Luppichini et al. 10.1038/s41598-024-78012-2
41. Climate impact on flood changes – an Austrian-Ukrainian comparison S. Snizhko et al. 10.2478/johh-2023-0017
42. Detection of trends in observed river floods in Poland N. Venegas-Cordero et al. 10.1016/j.ejrh.2022.101098
43. Shifting in the global flood timing G. Fang et al. 10.1038/s41598-022-23748-y
44. Exploring multidecadal changes in climate and reservoir storage for assessing nonstationarity in flood peaks and risks worldwide by an integrated frequency analysis approach Y. Zhou 10.1016/j.watres.2020.116265
45. How extreme are flood peak distributions? A quasi-global analysis of daily discharge records M. Zaerpour et al. 10.1016/j.jhydrol.2024.130849
46. Simulating flash flood hydrographs and behavior metrics across China: Implications for flash flood management X. Zhai et al. 10.1016/j.scitotenv.2020.142977
47. River flooding mechanisms and their changes in Europe revealed by explainable machine learning S. Jiang et al. 10.5194/hess-26-6339-2022
48. Changing Water Cycle under a Warming Climate: Tendencies in the Carpathian Basin I. Jánosi et al. 10.3390/cli11060118
49. Gauging ungauged catchments – Active learning for the timing of point discharge observations in combination with continuous water level measurements S. Pool & J. Seibert 10.1016/j.jhydrol.2021.126448
50. Current European flood-rich period exceptional compared with past 500 years G. Blöschl et al. 10.1038/s41586-020-2478-3
51. Shifted dominant flood drivers of an alpine glacierized catchment in the Tianshan region revealed through interpretable deep learning W. Liang et al. 10.1038/s41612-025-00918-z
52. Comparing Satellite, Reanalysis, Fused and Gridded (In Situ) Precipitation Products Over Türkiye A. Akbas & H. Ozdemir 10.1002/joc.8671
53. Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management L. Slater et al. 10.5194/hess-25-3897-2021
54. Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index E. Varouchakis et al. 10.1016/j.spasta.2022.100625
55. An increase in the spatial extent of European floods over the last 70 years B. Fang et al. 10.5194/hess-28-3755-2024
56. Occasional Floods On The Rivers Of Russian Plain In The 20^Th –21^St Centuries M. Kireeva et al. 10.24057/2071-9388-2020-29
57. Trends in Global Flood and Streamflow Timing Based on Local Water Year C. Wasko et al. 10.1029/2020WR027233
58. Deoxynivalenol Occurrence in Triticale Crops in Romania during the 2012–2014 Period with Extreme Weather Events V. Gagiu et al. 10.3390/toxins13070456
59. A Probabilistic Model of the Economic Risk to Britain's Railway Network from Bridge Scour During Floods R. Lamb et al. 10.1111/risa.13370
60. Detecting Similarity in Flood Seasonality of Slovak and Austrian Catchments R. Marková et al. 10.1088/1757-899X/471/2/022027