36 citations as recorded by crossref.

1. From green-energy to green-logistics: a pilot study in an Italian port area F. Arena et al. https://doi.org/10.1016/j.trpro.2018.09.013
2. Extreme value analysis of wave climate around Farasan Islands, southern Red Sea V. Shamji et al. https://doi.org/10.1016/j.oceaneng.2020.107395
3. Directional Extreme Value Models in Wave Energy Applications F. Karathanasi et al. https://doi.org/10.3390/atmos11030274
4. Global-scale changes to extreme ocean wave events due to anthropogenic warming J. Morim et al. https://doi.org/10.1088/1748-9326/ac1013
5. Statistical modelling of the ocean environment – A review of recent developments in theory and applications E. Vanem et al. https://doi.org/10.1016/j.marstruc.2022.103297
6. Estimation of extreme wave height return periods from short-term interpolation of multi-mission satellite data: application to the South Atlantic J. Salcedo-Castro et al. https://doi.org/10.5194/os-14-911-2018
7. Regional assessment of extreme tropical cyclone waves for marine renewable energy development Z. Shao et al. https://doi.org/10.1016/j.renene.2025.122489
8. Systematic Review Shows That Work Done by Storm Waves Can Be Misinterpreted as Tsunami-Related Because Commonly Used Hydrodynamic Equations Are Flawed R. Cox et al. https://doi.org/10.3389/fmars.2020.00004
9. A parameterization of DNV-GL storm profile for the calculation of design wave of marine structures V. Laface et al. https://doi.org/10.1016/j.marstruc.2019.102650
10. Global atlas of extreme significant wave heights and relative risk ratios V. Neary & S. Ahn https://doi.org/10.1016/j.renene.2023.03.079
11. Generation of 100-year-return value maps of maximum significant wave heights with automated threshold value estimation S. Roy et al. https://doi.org/10.1007/s41324-019-00293-x
12. Extreme value analysis for waves in the Persian Gulf: Skill assessment of different methods for a fetch-limited basin A. Naderi & S. Siadatmousavi https://doi.org/10.1016/j.rsma.2023.102812
13. Attention-based ensemble learning for hindcasting significant wave heights and estimating extreme return levels Z. Ren et al. https://doi.org/10.1016/j.oceaneng.2025.123412
14. Statistical Analysis of Strong Breeze and Large Wave Events in the North Indian Ocean Z. You et al. https://doi.org/10.3390/jmse14020149
15. Wave storm events in the Western Mediterranean Sea over four decades K. Amarouche et al. https://doi.org/10.1016/j.ocemod.2021.101933
16. 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
17. Analysis and extreme event prediction of waves in the eastern shelf seas of China based on a 44-year hindcast Y. Meng et al. https://doi.org/10.1016/j.oceaneng.2024.119102
18. Wave storm impacts on shoreline evolution: A case study of Iztuzu beach H. Kılar et al. https://doi.org/10.1016/j.ocecoaman.2025.107748
19. Solving the temporal lags in local significant wave height prediction with a new VMD-LSTM model S. Zhang et al. https://doi.org/10.1016/j.oceaneng.2024.119385
20. 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
21. Study of Directional Declustering for Estimating Extreme Wave Heights in the Yellow Sea H. Gao et al. https://doi.org/10.3390/jmse8040236
22. A data-driven surrogate for nested numerical modeling of coastal wave heights M. Tang et al. https://doi.org/10.1016/j.rineng.2025.108686
23. Variabilities in the estimate of 100-year return period wave height in the Indian shelf seas S. Vinayan et al. https://doi.org/10.1007/s10872-024-00733-9
24. 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
25. Assessment of extreme wind and waves in the Colombian Caribbean Sea for offshore applications A. Devis-Morales et al. https://doi.org/10.1016/j.apor.2017.09.012
26. A simplified hindcast method for the estimation of extreme storm surge events in semi-enclosed basins D. Pasquali et al. https://doi.org/10.1016/j.apor.2019.01.031
27. Fuzzy-based ensemble methodology for accurate long-term prediction and interpretation of extreme significant wave height events C. Peláez-Rodríguez et al. https://doi.org/10.1016/j.apor.2024.104273
28. Evaluation of extreme wave probability on the basis of long-term data analysis K. Bulgakov et al. https://doi.org/10.5194/os-14-1321-2018
29. Simultaneous short-term significant wave height and energy flux prediction using zonal multi-task evolutionary artificial neural networks A. Gómez-Orellana et al. https://doi.org/10.1016/j.renene.2021.11.122
30. Influence of tropical cyclones on the 100‐year return period wave height—A study based on 39‐year long ERA5 reanalysis data T. Naseef & V. Kumar https://doi.org/10.1002/joc.6321
31. Method of Evaluation of Extreme Wave Probability K. Bulgakov et al. https://doi.org/10.1088/1755-1315/666/3/032031
32. Estimation of extreme wind speeds and wave heights along the regional waters of India V. Polnikov et al. https://doi.org/10.1016/j.oceaneng.2017.09.031
33. Variations in return value estimate of ocean surface waves – a study based on measured buoy data and ERA-Interim reanalysis data T. Muhammed Naseef & V. Sanil Kumar https://doi.org/10.5194/nhess-17-1763-2017
34. Optimizing threshold selection for accurate prediction of long-term extreme wave heights B. Almarshed https://doi.org/10.1016/j.jer.2024.12.005
35. Comparison of reanalysis datasets with historical wave buoy data in northern Scottish waters J. Mcilvenny et al. https://doi.org/10.1080/1755876X.2026.2619298
36. Assessment of storm events along the Algiers coast and their potential impacts K. Amarouche et al. https://doi.org/10.1016/j.oceaneng.2020.107432