110 citations as recorded by crossref.

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3. Detecting Flood‐Rich and Flood‐Poor Periods in Annual Peak Discharges Across Europe D. Lun et al. https://doi.org/10.1029/2019WR026575
4. Review on the need for inventories and management of reservoirs of POPs and other persistent, bioaccumulating and toxic substances (PBTs) in the face of climate change R. Weber et al. https://doi.org/10.1186/s12302-025-01060-6
5. The September 2024 Danube flood compared to the 1899, 2002, and 2013 events: a hydrometeorological analysis in a changing climate J. Komma et al. https://doi.org/10.5194/hess-30-4075-2026
6. 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
7. Shifts in flood generation processes exacerbate regional flood anomalies in Europe L. Tarasova et al. https://doi.org/10.1038/s43247-023-00714-8
8. Short-term effects of a simulated massive river flood and its recovery on sediment biogeochemistry of a Mediterranean lagoon C. Ennas et al. https://doi.org/10.1080/02757540.2024.2338178
9. Intensifying sponge cities development to tackle flooding: evidence from Central and Southern European cities B. Osei et al. https://doi.org/10.1080/14702541.2026.2697416
10. Flood Characterisation in Lithuanian Lowland Rivers Using a Peaks-over-Threshold Approach D. Šarauskienė et al. https://doi.org/10.3390/w18091033
11. A nation-wide classification of the Italian Railway Network susceptibility to flood hazard G. Lelli et al. https://doi.org/10.1016/j.ijdrr.2025.105946
12. Planning scale flood risk assessment and prediction in ultra-high density urban environments: The case of Hong Kong X. Gu & X. Liu https://doi.org/10.1016/j.ecolind.2024.112000
13. Evaluation of probability distribution methods for flood frequency analysis in the Jhelum Basin of North-Western Himalayas, India A. Shah & N. Pan https://doi.org/10.1016/j.clwat.2024.100044
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17. Flood Mitigation in Mediterranean Coastal Regions: Problems, Solutions, and Stakeholder Involvement F. Ciampa et al. https://doi.org/10.3390/su131810474
18. OpenForecast v2: Development and Benchmarking of the First National-Scale Operational Runoff Forecasting System in Russia G. Ayzel https://doi.org/10.3390/hydrology8010003
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22. Changes in Magnitude and Shifts in Timing of the Latvian River Annual Flood Peaks E. Apsīte et al. https://doi.org/10.3390/atmos15091139
23. Taxonomic, functional diversity and emergence patterns of Plecoptera: a long-term study in a Dinaric karst biodiversity hotspot M. Vilenica et al. https://doi.org/10.1007/s10750-025-06012-y
24. Atmospheric conditions favouring extreme precipitation and flash floods in temperate regions of Europe J. Meyer et al. https://doi.org/10.5194/hess-26-6163-2022
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28. Historical floods of the Douro River in Porto, Portugal (1727–1799) M. Alcoforado et al. https://doi.org/10.1007/s10584-021-03039-7
29. Applying machine learning in the investigation of the link between the high-velocity streams of charged solar particles and precipitation-induced floods S. Malinović-Milićević et al. https://doi.org/10.1007/s10661-024-12537-x
30. Integrating Machine Learning Models With Probability Distribution Methods for Extreme Flood Risk Assessment N. Fatima et al. https://doi.org/10.1109/ACCESS.2025.3598121
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32. Rogue and extreme floods in North America P. Whitfield & D. Burn https://doi.org/10.1016/j.jhydrol.2026.135389
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36. Baseflow significantly contributes to river floods in Peninsular India S. Sharma & P. Mujumdar https://doi.org/10.1038/s41598-024-51850-w
37. Changes in flood characteristics and maximum streamflow in the Carpathians and Subcarpathians (1961–2020): a case study of the upper Ialomița River catchment, Romania E. Gîrbea (Avram) et al. https://doi.org/10.1080/15715124.2026.2633387
38. Interpretable feature incorporation machine-learning framework for flood magnitude estimation E. Ford et al. https://doi.org/10.5194/hess-30-2135-2026
39. Flood-Triggering Rainfall and Potential Losses—The Copula-Based Approach on the Example of the Upper Nysa Kłodzka River A. Perz et al. https://doi.org/10.3390/w15101958
40. Shifts in River Flood Patterns in the Baltic States Between Two Climate Normals D. Jakimavičius et al. https://doi.org/10.3390/w17172567
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43. Challenges in modeling and predicting floods and droughts: A review M. Brunner et al. https://doi.org/10.1002/wat2.1520
44. The complex effect of climate change and urbanization on streamflow in small–medium eastern Mediterranean catchments Y. Rinat et al. https://doi.org/10.5194/hess-30-4565-2026
45. Correlation between climate and flood indices in Northwestern Italy at different temporal scales M. Pesce et al. https://doi.org/10.2478/johh-2022-0009
46. River runoff in Switzerland in a changing climate – changes in moderate extremes and their seasonality R. Muelchi et al. https://doi.org/10.5194/hess-25-3577-2021
47. Comparison of parametric and non-parametric methods for non-stationary hydrological modelling: Rainfall Puglia region case study (Italy) B. Lioi et al. https://doi.org/10.1016/j.ejrh.2026.103507
48. An Assessment of the Recent Evolution of the Streamflow in a Near-Natural System: A Case Study in the Headwaters of the Mero Basin (Galicia, Spain) M. Rodríguez-Blanco et al. https://doi.org/10.3390/hydrology7040097
49. Megafloods in Europe can be anticipated from observations in hydrologically similar catchments M. Bertola et al. https://doi.org/10.1038/s41561-023-01300-5
50. Why structural solutions for flood control should be adapted to climate change? M. Hosseinipoor et al. https://doi.org/10.1007/s11069-024-06969-4
51. Effects of the 2018 European heatwave and drought on coastal biogeochemistry in the German Bight D. Kaiser et al. https://doi.org/10.1016/j.scitotenv.2023.164316
52. At-Site Flood Frequency Analysis: Evaluating Some Candidate Probability Models S. Bhatti et al. https://doi.org/10.15244/pjoes/205074
53. Using supervised machine learning for regional hydrological hazard estimation in metropolitan France Q. Ding & P. Arnaud https://doi.org/10.1016/j.ejrh.2024.101872
54. Climate Change and Hydrological Extremes J. Xiong & Y. Yang https://doi.org/10.1007/s40641-024-00198-4
55. Rain-on-wet-soil compound floods in lowlands: the combined effect of large rain events and shallow groundwater on discharge peaks in a changing climate C. Brauer et al. https://doi.org/10.5194/hess-30-249-2026
56. Elevation-dependent compensation effects in snowmelt in the Rhine River Basin upstream gauge Basel E. Rottler et al. https://doi.org/10.2166/nh.2021.092
57. How Changes in Future Precipitation Impact Flood Frequencies: A Quantile‐Quantile Mapping Approach L. Cafiero et al. https://doi.org/10.1029/2024WR038471
58. Hydrological modelling of the 2021 mega-flood in the east of Belgium C. Dessers et al. https://doi.org/10.1016/j.jhydrol.2025.134901
59. Large-scale flood risk assessment and management: Prospects of a systems approach K. Schröter et al. https://doi.org/10.1016/j.wasec.2021.100109
60. Evaluation of the Dual Gamma Generalized Extreme Value distribution for flood events in Poland Ł. Gruss et al. https://doi.org/10.5194/hess-29-5165-2025
61. Regional process-based analysis of trends in flood peaks and volumes using hourly data Y. Tramblay et al. https://doi.org/10.1016/j.jhydrol.2026.135949
62. Hydroclimate volatility on a warming Earth D. Swain et al. https://doi.org/10.1038/s43017-024-00624-z
63. An extremeness threshold determines the regional response of floods to changes in rainfall extremes M. Brunner et al. https://doi.org/10.1038/s43247-021-00248-x
64. What can be learnt from the catastrophic failure of a check dam system? A forensic analysis of a cascading natural-anthropogenic hazard E. Dallan et al. https://doi.org/10.1007/s11069-025-07301-4
65. Composition, frequency, and severity of future rain-on-snow floods in Germany C. Czakay et al. https://doi.org/10.5194/nhess-26-5609-2026
66. Climate impact on flood changes – an Austrian-Ukrainian comparison S. Snizhko et al. https://doi.org/10.2478/johh-2023-0017
67. 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
68. The Occurrence of Large Floods in the United States in the Modern Hydroclimate Regime: Seasonality, Trends, and Large‐Scale Climate Associations M. Collins et al. https://doi.org/10.1029/2021WR030480
69. ESPON-TITAN: territorial patterns of natural hazards in Europe J. Klein et al. https://doi.org/10.1007/s11069-023-06336-9
70. Panta Rhei: a decade of progress in research on change in hydrology and society H. Kreibich et al. https://doi.org/10.1080/02626667.2025.2469762
71. Frequency of Italian Record-Breaking Floods over the Last Century (1911–2020) A. Castellarin et al. https://doi.org/10.3390/atmos15070865
72. Controls on Flood Trends Across the United States M. Kemter et al. https://doi.org/10.1029/2021WR031673
73. Do small and large floods have the same drivers of change? A regional attribution analysis in Europe M. Bertola et al. https://doi.org/10.5194/hess-25-1347-2021
74. Model-based assessment of flood generation mechanisms over Poland: The roles of precipitation, snowmelt, and soil moisture excess N. Venegas-Cordero et al. https://doi.org/10.1016/j.scitotenv.2023.164626
75. Differential Growth Responses of Alternanthera philoxeroides as Affected by Submergence Depths S. Jing et al. https://doi.org/10.3389/fpls.2022.883800
76. Modelling short- and long-term flooding levels in the Venice lagoon: A hierarchical hidden Markov model approach L. Ricciotti et al. https://doi.org/10.1016/j.ecolind.2026.114789
77. Rethinking future flood hazard: Hourly data challenge daily flood projections in Alpine catchments P. Astagneau et al. https://doi.org/10.1126/sciadv.aed6012
78. Human-environmental interaction with extreme hydrological events and climate change scenarios as background C. Sánchez-García & M. Francos https://doi.org/10.1016/j.geosus.2022.08.002
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80. Evaluation of the Drivers Responsible for Flooding in Africa Y. Tramblay et al. https://doi.org/10.1029/2021WR029595
81. Changing Water Cycle under a Warming Climate: Tendencies in the Carpathian Basin I. Jánosi et al. https://doi.org/10.3390/cli11060118
82. Flood-sensitive land take (FSL) analysis: A new way to read how urban sealing shapes flood risk A. Azadgar et al. https://doi.org/10.1016/j.jenvman.2026.129513
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