87 citations as recorded by crossref.

1. Numerical study on the quantitative error of the Korteweg–de Vries equation for modelling random waves on large scale in shallow water J. Wang et al. https://doi.org/10.1016/j.euromechflu.2018.04.004
2. Effect of initial condition uncertainty on the profile of maximum wave H. Zhang et al. https://doi.org/10.1016/j.marstruc.2021.103127
3. On pressure forcing techniques for numerical modelling of unidirectional nonlinear water waves M. Paprota https://doi.org/10.1016/j.apor.2019.101857
4. Relevance of pressure field accuracy for nonlinear Froude–Krylov force calculations for wave energy devices G. Giorgi & J. Ringwood https://doi.org/10.1007/s40722-017-0107-5
5. Applicability and limitations of highly non-linear potential flow solvers in the context of water waves G. Ducrozet et al. https://doi.org/10.1016/j.oceaneng.2017.07.003
6. Freak waves in crossing seas M. Onorato et al. https://doi.org/10.1140/epjst/e2010-01237-8
7. Rogue waves during Typhoon Trami in the East China Sea X. Jiang et al. https://doi.org/10.1007/s00343-019-8256-0
8. A comparative study of two fast nonlinear free‐surface water wave models G. Ducrozet et al. https://doi.org/10.1002/fld.2672
9. Numerical and experimental study on a 2-D floating body under extreme wave conditions X. Zhao & C. Hu https://doi.org/10.1016/j.apor.2012.01.001
10. Different approaches to numerical modeling of sea waves D. Chalikov https://doi.org/10.59887/fpg/u1df-m1x7-1bxg
11. Enhancing deterministic prediction in unidirectional ocean waves using an Artificial Neural Network with exponential linear unit Z. Feng et al. https://doi.org/10.1016/j.oceaneng.2024.117539
12. Spatiotemporal nonlinear ocean wave prediction with uncertainty quantification and universal predictable zone determination J. Dai et al. https://doi.org/10.1016/j.apenergy.2025.126896
13. Investigation on wave-body interactions by a coupled High-Order Spectrum method with fully nonlinear Rankine source method B. Chen et al. https://doi.org/10.1016/j.oceaneng.2023.115941
14. Simulation of breaking waves using the high-order spectral method with laboratory experiments: Wave-breaking onset B. Seiffert et al. https://doi.org/10.1016/j.ocemod.2017.09.006
15. Numerical investigation of third-order resonant interactions between two gravity wave trains in deep water J. Xie et al. https://doi.org/10.1103/PhysRevFluids.6.014801
16. Propagation of 3D nonlinear waves over an elliptical mound with a High-Order Spectral method M. Gouin et al. https://doi.org/10.1016/j.euromechflu.2017.01.002
17. Evolution of weakly nonlinear random directional waves: laboratory experiments and numerical simulations A. TOFFOLI et al. https://doi.org/10.1017/S002211201000385X
18. The North Sea Andrea storm and numerical simulations E. Bitner-Gregersen et al. https://doi.org/10.5194/nhess-14-1407-2014
19. A GPU-accelerated domain decomposition method for numerical analysis of nonlinear waves-current-structure interactions X. Lu et al. https://doi.org/10.1016/j.oceaneng.2022.111901
20. Crest-height statistics in finite water depth. Part 1: The role of the nonlinear interactions in uni-directional seas E. Zve et al. https://doi.org/10.1016/j.oceaneng.2023.116369
21. Two-way nesting for a spectral-based nonlinear dispersive wave model A. Latifah et al. https://doi.org/10.1016/j.oceaneng.2026.126726
22. A non-linear wave decomposition model for efficient wave–structure interaction. Part A: Formulation, validations and analysis G. Ducrozet et al. https://doi.org/10.1016/j.jcp.2013.09.017
23. Effects of wave-field nonlinearity on motions of ship advancing in irregular waves using HOS method Q. Xiao et al. https://doi.org/10.1016/j.oceaneng.2020.106947
24. Probabilistic assessment of rogue wave occurrence in directional wave fields C. Kirezci et al. https://doi.org/10.1007/s10236-021-01487-4
25. Intercomparison of Three Open-Source Numerical Flumes for the Surface Dynamics of Steep Focused Wave Groups T. Vyzikas et al. https://doi.org/10.3390/fluids6010009
26. Characterization of Rogue Wave Occurrence During Typhoon Hinnamnor Using Directional Wave Spectra and High-Order Spectral Simulations F. Abdullah & J. Yoo https://doi.org/10.1007/s12601-025-00254-6
27. Nonlinear Effects on the Formation of Large Random Wave Events G. Spiliotopoulos & V. Katsardi https://doi.org/10.3390/jmse13081516
28. Reduced order model for nonlinear multi-directional ocean wave propagation S. Bukka et al. https://doi.org/10.1063/5.0070246
29. Numerical Simulation of Extreme Wave Generation Using VOF Method X. Zhao et al. https://doi.org/10.1016/S1001-6058(09)60078-0
30. A Study on the High-Order Spectral Model Capability to Simulate a Fully Developed Nonlinear Sea States Y. Kim et al. https://doi.org/10.26748/KSOE.2022.034
31. Deterministic wave forecasting with the Zakharov equation R. Stuhlmeier & M. Stiassnie https://doi.org/10.1017/jfm.2021.50
32. Account of Occasional Wave Breaking in Numerical Simulations of Irregular Water Waves in the Focus of the Rogue Wave Problem A. Slunyaev & A. Kokorina https://doi.org/10.1007/s42286-019-00014-9
33. Development and validation of a non-linear spectral model for water waves over variable depth M. Gouin et al. https://doi.org/10.1016/j.euromechflu.2015.12.004
34. HOS-ocean: Open-source solver for nonlinear waves in open ocean based on High-Order Spectral method G. Ducrozet et al. https://doi.org/10.1016/j.cpc.2016.02.017
35. Numerical modeling of extreme rogue waves generated by directional energy focusing C. Fochesato et al. https://doi.org/10.1016/j.wavemoti.2007.01.003
36. Deterministic non-linear wave prediction using probe data E. Blondel et al. https://doi.org/10.1016/j.oceaneng.2010.03.002
37. Impact of directional spreading on nonlinear KdV-soliton spectra in intermediate water Y. Lee & S. Wahls https://doi.org/10.1016/j.wavemoti.2025.103542
38. HOS-Ocean v2.1: Extensions of a nonlinear wave solver based on the High-Order Spectral method G. Ducrozet et al. https://doi.org/10.1016/j.cpc.2026.110098
39. Spatio-temporal prediction zone for phase-resolved wave forecasting in directional sea states S. Kim & I. Kim https://doi.org/10.1016/j.oceaneng.2026.127336
40. Estimating the evolution of sea state non-Gaussianity based on a phase-resolving model X. Jiang et al. https://doi.org/10.1007/s00343-021-1236-1
41. Numerical Modeling of Sea Waves D. Chalikov https://doi.org/10.1134/S0001433820030032
42. Analysis of Dangerous Sea States in the Northwestern Mediterranean Area A. Innocenti et al. https://doi.org/10.3390/jmse9040422
43. Spatial variations in numerical wave tanks with active wave generating–absorbing system I. Herdayanditya et al. https://doi.org/10.1016/j.oceaneng.2024.119744
44. Simulation of Depth-Limited Breaking Waves in a 3D Fully Nonlinear Potential Flow Model S. Mohanlal et al. https://doi.org/10.1061/JWPED5.WWENG-2077
45. Simulation of breaking waves using the high-order spectral method with laboratory experiments: wave-breaking energy dissipation B. Seiffert & G. Ducrozet https://doi.org/10.1007/s10236-017-1119-3
46. Nonlinear wave-structure-mooring interactions in hurricane condition: A case study using three-dimensional time-domain simulations B. Chen et al. https://doi.org/10.1016/j.enganabound.2025.106233
47. A Numerical Study on the Evolution of Random Seas With the Occurrence of Rogue Waves Z. Zhou et al. https://doi.org/10.1115/1.4050266
48. A hybrid model for simulating rogue waves in random seas on a large temporal and spatial scale J. Wang et al. https://doi.org/10.1016/j.jcp.2016.02.044
49. An enhanced spectral boundary integral method for modeling highly nonlinear water waves in variable depth J. Wang https://doi.org/10.1016/j.jcp.2024.113525
50. A co-simulation approach to modelling fully nonlinear water waves using the spectral/hp element method C. Eskilsson et al. https://doi.org/10.1016/j.oceaneng.2025.122385
51. An improved Lagrangian model for the time evolution of nonlinear surface waves C. Guérin et al. https://doi.org/10.1017/jfm.2019.519
52. Numerical simulations of collinear finite amplitude steady-state resonant waves in deep water Z. Yan et al. https://doi.org/10.1016/j.oceaneng.2020.107703
53. Time-reversal of nonlinear waves: Applicability and limitations G. Ducrozet et al. https://doi.org/10.1103/PhysRevFluids.1.054302
54. Twin-Stream Network: Enhancing wave prediction by capturing spatiotemporal information J. Xu et al. https://doi.org/10.1016/j.engappai.2025.112385
55. Extreme ocean waves. Part I. The practical application of fully nonlinear wave modelling W. Bateman et al. https://doi.org/10.1016/j.apor.2011.05.002
56. On the calculation of wavenumber from measured time traces C. Craciunescu & M. Christou https://doi.org/10.1016/j.apor.2020.102115
57. A fully nonlinear potential flow wave modelling procedure for simulations of offshore sea states with various wave breaking scenarios W. Wang et al. https://doi.org/10.1016/j.apor.2021.102898
58. Evolutionary properties of mechanically generated deepwater extreme waves induced by nonlinear wave focusing H. Zhang et al. https://doi.org/10.1016/j.oceaneng.2019.05.059
59. On the analysis of 2D nonlinear gravity waves with a fully nonlinear numerical model H. Zhang et al. https://doi.org/10.1016/j.wavemoti.2016.11.006
60. An experimental and numerical study on breather solutions for surface waves in the intermediate water depth H. Zhang et al. https://doi.org/10.1016/j.oceaneng.2017.01.030
61. An exact Hamiltonian coupled-mode system with application to extreme design waves over variable bathymetry G. Athanassoulis et al. https://doi.org/10.1007/s40722-017-0096-4
62. Development and validation of a 3D RBF-spectral model for coastal wave simulation C. Raoult et al. https://doi.org/10.1016/j.jcp.2018.11.002
63. The effect of nonlinear wave-structure and soil-structure interactions in the design of an offshore structure K. Chatziioannou et al. https://doi.org/10.1016/j.marstruc.2016.11.003
64. Bridging ocean wave physics and deep learning: Physics-informed neural operators for nonlinear wavefield reconstruction in real-time S. Ehlers et al. https://doi.org/10.1063/5.0294655
65. An efficient methodology for the simulation of nonlinear irregular waves in computational fluid dynamics solvers based on the high order spectral method with an application with OpenFOAM Y. Choi et al. https://doi.org/10.1016/j.ijnaoe.2022.100510
66. Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data S. Ehlers et al. https://doi.org/10.1016/j.oceaneng.2023.116059
67. Modulational instability and wave amplification in finite water depth L. Fernandez et al. https://doi.org/10.5194/nhess-14-705-2014
68. A Numerical Method for Nonlinear Water Waves X. Zhao et al. https://doi.org/10.1016/S1001-6058(08)60163-8
69. Ensemble-based data assimilation for predictable zones and application for non-linear deep-water waves W. Fujimoto & K. Ishibashi https://doi.org/10.3389/fmars.2023.1125342
70. Velocity vector evaluation at free surface using wave elevation data J. Liu et al. https://doi.org/10.1007/s11071-025-11904-8
71. The Influence of Characteristic Sea State Parameters on the Accuracy of Irregular Wave Field Simulations of Different Complexity H. Lünser et al. https://doi.org/10.3390/fluids7070243
72. Nonlinear deterministic sea wave prediction using instantaneous velocity profiles M. Huchet et al. https://doi.org/10.1016/j.oceaneng.2020.108492
73. Hybrid time-domain model for ship motions in nonlinear extreme waves using HOS method Q. Xiao et al. https://doi.org/10.1016/j.oceaneng.2019.106554
74. Wave-by-wave forecasts in directional seas using nonlinear dispersion corrections E. Meisner et al. https://doi.org/10.1063/5.0149980
75. On the equivalence of unidirectional rogue waves detected in periodic simulations and reproduced in numerical wave tanks G. Ducrozet et al. https://doi.org/10.1016/j.oceaneng.2016.03.027
76. Modelling rogue waves in 1D wave trains with the JONSWAP spectrum, by means of the High Order Spectral Method and a fully nonlinear numerical model C. Kirezci et al. https://doi.org/10.1016/j.oceaneng.2021.108715
77. Numerical Study on Statistical Characteristics of Developing Waves K. Fokina & D. Chalikov https://doi.org/10.2205/2024ES000878
78. Predicting the occurrence of rogue waves in the presence of opposing currents with a high-order spectral method G. Ducrozet et al. https://doi.org/10.1103/PhysRevFluids.6.064803
79. Rogue events in spatiotemporal numerical simulations of unidirectional waves in basins of different depth A. Slunyaev et al. https://doi.org/10.1007/s11069-016-2430-x
80. A High‐Order Hybrid‐Spectral Incompressible Navier–Stokes Model for Non‐Linear Water Waves A. Melander et al. https://doi.org/10.1002/fld.5387
81. Nonlinear higher-order spectral solution for a two-dimensional moving load on ice F. BONNEFOY et al. https://doi.org/10.1017/S0022112008004849
82. Space-time statistics of extreme ocean waves in crossing sea states S. Davison et al. https://doi.org/10.3389/fmars.2022.1002806
83. Persistence of hydrodynamic envelope solitons: Detection and rogue wave occurrence A. Slunyaev https://doi.org/10.1063/5.0042232
84. A framework for efficient irregular wave simulations using Higher Order Spectral method coupled with viscous two phase model I. Gatin et al. https://doi.org/10.1016/j.joes.2017.09.003
85. Wiener chaos expansions of ocean waves L. Henry & J. Bridge https://doi.org/10.1063/5.0043930
86. Numerical modeling of surface wave development under the action of wind D. Chalikov https://doi.org/10.5194/os-14-453-2018
87. On quantitative errors of two simplified unsteady models for simulating unidirectional nonlinear random waves on large scale in deep sea J. Wang et al. https://doi.org/10.1063/1.4989417