75 citations as recorded by crossref.

1. On some aspects of peaks-over-threshold modeling of floods under nonstationarity using climate covariates A. Silva et al. https://doi.org/10.1007/s00477-015-1072-y
2. An Adaptive Markov Model for the Timing Analysis of Probabilistic Caches C. Chen & G. Beltrame https://doi.org/10.1145/3123877
3. Statistical modeling and dependence analysis for tide level via multivariate extreme value distribution method A. Tian et al. https://doi.org/10.1016/j.oceaneng.2023.115616
4. Automatic procedure for selecting flood events and identifying flood characteristics from daily streamflow data Q. Zhang et al. https://doi.org/10.1016/j.envsoft.2021.105180
5. Global coastal wave storminess H. Lobeto et al. https://doi.org/10.1038/s41598-024-51420-0
6. Key research issues of coastal storm analysis N. Martzikos et al. https://doi.org/10.1016/j.ocecoaman.2020.105389
7. Relation between design floods based on daily maxima and daily means: use of the Peak Over Threshold approach in the Upper Nysa Kłodzka Basin (SW Poland) A. Rutkowska et al. https://doi.org/10.1080/19475705.2016.1250114
8. Design of a rubble mound breakwater under the combined effect of wave heights and water levels, under present and future climate conditions S. Radfar et al. https://doi.org/10.1016/j.apor.2021.102711
9. Quantitative assessment of the reservoir-induced impact on multivariate flood risk via the nonstationary Vine Copula model P. Xu et al. https://doi.org/10.1016/j.jhydrol.2026.134997
10. Coastal flooding event definition based on damages: Case study of Biarritz Grande Plage on the French Basque coast F. Arnoux et al. https://doi.org/10.1016/j.coastaleng.2021.103873
11. A metastatistical frequency analysis of extreme storm surge hazard along the US coastline G. Boumis et al. https://doi.org/10.1080/21664250.2024.2338323
12. Stochastic analysis of flood series V. Vukmirović & N. Vukmirović https://doi.org/10.1080/02626667.2017.1342825
13. A copula-based approach for the estimation of wave height records through spatial correlation R. Jane et al. https://doi.org/10.1016/j.coastaleng.2016.06.008
14. Modelling extreme rainfall events in Kigali city using generalized Pareto distribution E. Singirankabo & E. Iyamuremye https://doi.org/10.1002/met.2076
15. Extracting independent and identically distributed samples from time series significant wave heights in the Yellow Sea Z. Shao et al. https://doi.org/10.1016/j.coastaleng.2020.103693
16. Formation of homogeneous regions for regional frequency analysis of extreme significant wave heights J. Weiss et al. https://doi.org/10.1002/2013JC009668
17. PeaksOverThreshold (POT): A methodology for automatic threshold estimation using goodness of fitp‐value S. Solari et al. https://doi.org/10.1002/2016WR019426
18. Regional frequency analysis of extreme waves based on regions of influence in the Mediterranean Sea F. De Leo & S. Solari https://doi.org/10.1016/j.oceaneng.2025.123088
19. Influence of nonstationarity and dependence of extreme wave parameters on the reliability assessment of coastal structures - A case study S. Radfar & P. Galiatsatou https://doi.org/10.1016/j.oceaneng.2023.113862
20. Can precipitation intermittency predict flooding? B. Livneh et al. https://doi.org/10.1016/j.scitotenv.2024.173824
21. Techniques for assessing water infrastructure for nonstationary extreme events: a review J. Salas et al. https://doi.org/10.1080/02626667.2018.1426858
22. Using a two-step framework for the investigation of storm impacted beach/dune erosion P. Dissanayake et al. https://doi.org/10.1016/j.coastaleng.2021.103939
23. Modeling intersite dependence for regional frequency analysis of extreme marine events J. Weiss et al. https://doi.org/10.1002/2014WR015391
24. Global extreme wave estimates and their sensitivity to the analysed data period and data sources K. Amarouche et al. https://doi.org/10.1016/j.marstruc.2023.103494
25. Use of historical information in extreme-surge frequency estimation: the case of marine flooding on the La Rochelle site in France Y. Hamdi et al. https://doi.org/10.5194/nhess-15-1515-2015
26. A framework for the hydrological assessment of at-site bankfull discharge-width for (semi-) incised Ganga river in Middle Ganga plains A. Modi et al. https://doi.org/10.1016/j.jhydrol.2020.124912
27. Optimizing a new de-clustering approach for relatively small samples of wind speed with an application to offshore design conditions C. Tsalis et al. https://doi.org/10.1016/j.oceaneng.2021.108896
28. Statistical analysis of Mediterranean coastal storms N. Martzikos et al. https://doi.org/10.1016/j.oceano.2020.11.001
29. A Bayesian peaks-over-threshold analysis of floods in the Itajaí-açu River under stationarity and nonstationarity A. Silva et al. https://doi.org/10.1007/s00477-015-1184-4
30. Future floods using hydroclimatic simulations and peaks over threshold: An alternative to nonstationary analysis inferred from trend tests M. Ammar et al. https://doi.org/10.1016/j.advwatres.2019.103463
31. On the suitability of the generalized Pareto to model extreme waves R. Teixeira et al. https://doi.org/10.1080/00221686.2017.1402829
32. The use of historical information for regional frequency analysis of extreme skew surge R. Frau et al. https://doi.org/10.5194/nhess-18-949-2018
33. Sensitivity analysis of flood frequency on choice of data threshold limit S. Eslamian et al. https://doi.org/10.1016/j.rineng.2025.105929
34. Regional-scale coastal hazard modelling using a univariate framework for extreme total water levels including sea-level rise: a case study in Portugal J. Carneiro Barros et al. https://doi.org/10.1016/j.ijdrr.2026.106272
35. Sensitivity analysis of erosion on the landward slope of an earthen flood defense located in southern France submitted to wave overtopping C. Houdard et al. https://doi.org/10.5194/nhess-23-3111-2023
36. Extreme events: a framework for assessing natural hazards F. Mazas https://doi.org/10.1007/s11069-019-03581-9
37. On the Exact Distribution of Correlated Extremes in Hydrology F. Lombardo et al. https://doi.org/10.1029/2019WR025547
38. Uncertainty assessment of significant wave height return levels downscaling for coastal application F. De Leo et al. https://doi.org/10.1016/j.apor.2022.103303
39. Dam operation affects the evolution and propagation of hydrological extremes P. Dey et al. https://doi.org/10.1080/02626667.2024.2311755
40. Regional assessment of extreme significant wave heights in the Bohai Sea and northern Yellow Sea J. Li et al. https://doi.org/10.1016/j.apor.2022.103182
41. Peaks-over-threshold model in flood frequency analysis: a scoping review X. Pan et al. https://doi.org/10.1007/s00477-022-02174-6
42. Uncertainties of the 50-year wave height estimation using generalized extreme value and generalized Pareto distributions in the Indian Shelf seas T. Naseef et al. https://doi.org/10.1007/s11069-019-03701-5
43. Estimation of Extreme Wave and Wind Design Parameters and Impact of Storm Propagation Speed on Coastal Flood Hazard in the Center Coast of Algiers R. Belhout et al. https://doi.org/10.1007/s12601-025-00226-w
44. The land–sea coastal border: a quantitative definition by considering the wind and wave conditions in a wave-dominated, micro-tidal environment A. Sánchez-Arcilla et al. https://doi.org/10.5194/os-15-113-2019
45. Spatial variability of extreme wave height along the Atlantic and channel French coast A. Nicolae Lerma et al. https://doi.org/10.1016/j.oceaneng.2015.01.015
46. Applying POT methods to the Revised Joint Probability Method for determining extreme sea levels F. Mazas et al. https://doi.org/10.1016/j.coastaleng.2014.05.006
47. An event-based approach for extreme joint probabilities of waves and sea levels F. Mazas & L. Hamm https://doi.org/10.1016/j.coastaleng.2017.02.003
48. Copernicus Marine Service Ocean State Report, Issue 4 K. von Schuckmann et al. https://doi.org/10.1080/1755876X.2020.1785097
49. Adaptive threshold selection for extreme value analysis to predict return levels of ozone layer depletion K. Sakthivel & V. Nandhini https://doi.org/10.1007/s11069-025-07287-z
50. Compound Impact of Storm Surge and Flood Characteristics in Coastal Area Based on Copula Z. Zhu et al. https://doi.org/10.3390/w16020270
51. Post-Nourishment Changes of an Artificial Gravel Pocket Beach Using UAV Imagery A. Tadić et al. https://doi.org/10.3390/jmse10030358
52. A stochastic multivariate extreme-value model for storm and wave climate off the west coast of India R. Mahesh et al. https://doi.org/10.1016/j.oceaneng.2026.124897
53. Assessing failure probability of coastal structures based on probabilistic representation of sea conditions at the structures’ location D. Malliouri et al. https://doi.org/10.1016/j.apm.2020.08.001
54. Wave Energy Potential and the Role of Extreme Events on South America's Coasts. A Regional Frequency Analysis V. Mundaca-Moraga & R. Abarca-del-Rio https://doi.org/10.1016/j.apor.2024.104280
55. Extreme-coastal-water-level estimation and projection: a comparison of statistical methods M. Caruso & M. Marani https://doi.org/10.5194/nhess-22-1109-2022
56. Technical note: comparison of methods for threshold selection for extreme sea levels C. Caballero‐Megido et al. https://doi.org/10.1111/jfr3.12296
57. A Holistic Modelling Approach for the Estimation of Return Levels of Peak Flows in Bavaria F. Willkofer et al. https://doi.org/10.3390/w12092349
58. Characterization and classification of wave storm events and wave climate on the Sea of Marmara V. Kutupoğlu et al. https://doi.org/10.1016/j.oceaneng.2023.114448
59. Return levels of hydrologic droughts under climate change A. Mondal & P. Mujumdar https://doi.org/10.1016/j.advwatres.2014.11.005
60. Development of a target-site-based regional frequency model using historical information Y. Hamdi et al. https://doi.org/10.1007/s11069-018-3237-8
61. Directional wave climate and power variability along the Southeast Australian shelf T. Mortlock & I. Goodwin https://doi.org/10.1016/j.csr.2015.02.007
62. Modelling coincidence and dependence of flood hazard phenomena in a Probabilistic Flood Hazard Assessment (PFHA) framework: case study in Le Havre A. Ben Daoued et al. https://doi.org/10.1007/s11069-019-03845-4
63. Detection and prediction of segments containing extreme significant wave heights A. Durán-Rosal et al. https://doi.org/10.1016/j.oceaneng.2017.07.009
64. Extreme significant wave height of tropical cyclone waves in the South China Sea Z. Shao et al. https://doi.org/10.5194/nhess-19-2067-2019
65. Swell wave progression in the English Channel: implications for coastal monitoring T. Dhoop & C. Thompson https://doi.org/10.1139/anc-2021-0008
66. Non-asymptotic distributions of water extremes: much ado about what? F. Serinaldi et al. https://doi.org/10.5194/hess-29-1159-2025
67. An Entropy-Based Validation of Threshold Selection Technique for Extreme Value Analysis and Risk Assessment K. Sakthivel & V. Nandhini https://doi.org/10.1134/S1995080224600043
68. Storm characterization and simulation for damage evolution models of maritime structures A. Lira-Loarca et al. https://doi.org/10.1016/j.coastaleng.2019.103620
69. Frequency analyses of extreme precipitation events in Western Black Sea Basin (Turkey) based on climate change projections M. Nuri Balov & A. Altunkaynak https://doi.org/10.1002/met.1776
70. Modelling Short- and Long-Term Dependencies of Clustered High-Threshold Exceedances in Significant Wave Heights P. Dissanayake et al. https://doi.org/10.3390/math9212817
71. Human versus climate interactions on riverine flood characteristics in the largest Indian Peninsular basin S. Pandey et al. https://doi.org/10.1016/j.ancene.2025.100463
72. Sensitivity of flood frequency analysis to data record, statistical model, and parameter estimation methods: An evaluation over the contiguous United States L. Hu et al. https://doi.org/10.1111/jfr3.12580
73. An automated threshold selection method based on the characteristic of extrapolated significant wave heights B. Liang et al. https://doi.org/10.1016/j.coastaleng.2018.12.001
74. Optimizing threshold selection for accurate prediction of long-term extreme wave heights B. Almarshed https://doi.org/10.1016/j.jer.2024.12.005
75. A multivariate statistical model of extreme events: An application to the Catalan coast J. Lin-Ye et al. https://doi.org/10.1016/j.coastaleng.2016.08.002