66 citations as recorded by crossref.

1. STUDY ON BUILDING DAMAGE IN THE NARROW SECTION OF THE KUMA RIVER DUE TO HEAVY RAINFALL IN JULY, 2020 USING A COUPLED METHOD FOR RIVER AND FLOODING FLOW ANALYSIS R. SHIMOMURA et al. https://doi.org/10.2208/jscejj.24-16019
2. Probabilistic Tsunami Hazard and Risk Analysis: A Review of Research Gaps J. Behrens et al. https://doi.org/10.3389/feart.2021.628772
3. Accurate tsunami wave prediction using long short-term memory based neural networks H. Xu & H. Wu https://doi.org/10.1016/j.ocemod.2023.102259
4. Web-based Tsunami Early Warning System: a case study of the 2010 Kepulaunan Mentawai Earthquake and Tsunami E. Ulutas et al. https://doi.org/10.5194/nhess-12-1855-2012
5. Full nonlinear dispersion model of shallow water equations on a rotating sphere Z. Fedotova & G. Khakhimzyanov https://doi.org/10.1134/S0021894411060034
6. Probabilistic Hazard Assessment of Bridges under Multihazard Actions during the Life-Cycle Period H. Mei & A. Guo https://doi.org/10.1061/NHREFO.NHENG-1679
7. Numerical modeling of the 2011 Tohoku-oki tsunami in the offshore and onshore of Sendai Plain, Japan D. Sugawara & K. Goto https://doi.org/10.1016/j.sedgeo.2012.08.002
8. Tree-based mesh-refinement GPU-accelerated tsunami simulator for real-time operation M. Arce Acuña & T. Aoki https://doi.org/10.5194/nhess-18-2561-2018
9. The tsunamigenic potential of landslide-generated tsunamis on the Vavilov seamount G. Gallotti et al. https://doi.org/10.1016/j.jvolgeores.2023.107745
10. Tsunami forecasting using proper orthogonal decomposition method D. My Ha et al. https://doi.org/10.1029/2007JC004583
11. Effects of the Rupture Velocity of Fault Motion, Ocean Current and Initial Sea Level on the Transoceanic Propagation of Tsunami A. Suppasri et al. https://doi.org/10.1142/S0578563410002142
12. Bayesian Hierarchical Modeling for Probabilistic Estimation of Tsunami Amplitude From Far‐Field Earthquake Sources G. Boumis et al. https://doi.org/10.1029/2023JC020002
13. Mathematical Modeling of Long Wave Propagation in the Bosphorus Strait A. Belokon et al. https://doi.org/10.1134/S1063784225601565
14. Estimating Earthquake-Induced Tsunami Height Probabilities without Sampling S. Tong et al. https://doi.org/10.1007/s00024-023-03281-3
15. Fragility based characterization of alternative tsunami evacuation buildings in Banda Aceh, Indonesia . Syamsidik et al. https://doi.org/10.1016/j.ijdrr.2023.103607
16. Induced Gravitational Effect and Stress Change by Tsunami Surge B. Kim et al. https://doi.org/10.1007/s10712-025-09910-x
17. The effect of uncertainty in earthquake fault parameters on the maximum wave height from a tsunami propagation model D. Burbidge et al. https://doi.org/10.5194/nhess-15-2299-2015
18. Bulgarian tsunami on 7 May 2007: numerical investigation of the hypothesis of a submarine-landslide origin O. Gusev et al. https://doi.org/10.1144/SP477.6
19. The Tsunami Threat to Sydney Harbour, Australia: Modelling potential and historic events K. Wilson et al. https://doi.org/10.1038/s41598-018-33156-w
20. The 2004 December 26 Indian Ocean tsunami impact on Sri Lanka: cascade modelling from ocean to city scales B. Poisson et al. https://doi.org/10.1111/j.1365-246X.2009.04106.x
21. Could a 1755-Like Tsunami Reach the French Atlantic Coastline? Constraints from Twentieth Century Observations and Numerical Modeling S. Allgeyer et al. https://doi.org/10.1007/s00024-012-0513-5
22. Accelerating Tsunami Modeling for Evacuation Studies through Modification of the Manning Roughness Values G. Cárdenas & P. Catalán https://doi.org/10.3390/geohazards3040025
23. Coupling sea-level rise with tsunamis: Projected adverse impact of future tsunamis on Banda Aceh city, Indonesia . Tursina et al. https://doi.org/10.1016/j.ijdrr.2021.102084
24. Determining effective earthquake countermeasures for bridges considering seismic and tsunami hazards based on expected post-disaster recovery time H. Ishibashi et al. https://doi.org/10.1080/15732479.2025.2474696
25. Compatible interface wave–structure interaction model for combining mesh-free particle and finite element methods N. Mitsume https://doi.org/10.1186/s40323-023-00248-w
26. The forced and free response of the South China Sea to the large-scale monsoon system H. Chen et al. https://doi.org/10.1007/s10236-011-0511-7
27. Forearc crustal faults as tsunami sources in the upper plate of the Lesser Antilles subduction zone: the case study of the Morne Piton fault system M. Philippon et al. https://doi.org/10.5194/nhess-24-3129-2024
28. Potential inundation of Lisbon downtown by a 1755-like tsunami M. Baptista et al. https://doi.org/10.5194/nhess-11-3319-2011
29. On the Need for Larger Manning's Roughness Coefficients in Depth-Integrated Tsunami Inundation Models J. Bricker et al. https://doi.org/10.1142/S0578563415500059
30. The Effect of the Earth’s Rotation on Tsunami Waves Triggered by the 2013 Deep-Focus Okhotsk Sea Earthquake M. Nosov et al. https://doi.org/10.3103/S0027134918060188
31. Study on the Impact of Sea Level Rise on the Tsunami Hazard in the South China Sea F. Guo et al. https://doi.org/10.1142/S1793431126500120
32. Source inversion and trans-Pacific simulation of the 2025 Kamchatka Mw 8.8 tsunami Z. Ren et al. https://doi.org/10.1016/j.ocemod.2026.102733
33. Numerical Simulation of Conservation Laws with Moving Grid Nodes: Application to Tsunami Wave Modelling G. Khakimzyanov et al. https://doi.org/10.3390/geosciences9050197
34. Towards spatially distributed quantitative assessment of tsunami inundation models J. Jakeman et al. https://doi.org/10.1007/s10236-010-0312-4
35. Development of the Global Tsunami Prediction System using the Finite Fault Model and the Cyclic Boundary Condition J. Lee et al. https://doi.org/10.9765/KSCOE.2015.27.6.391
36. Tsunami hazard and buildings vulnerability along the Northern Atlantic coast of Morocco –the 1755-like tsunami in Asilah test-site S. El Moussaoui et al. https://doi.org/10.1186/s40677-017-0089-6
37. Sediment transport due to the 2011 Tohoku-oki tsunami at Sendai: Results from numerical modeling D. Sugawara et al. https://doi.org/10.1016/j.margeo.2014.05.005
38. Fragility functions for a reinforced concrete structure subjected to earthquake and tsunami in sequence C. Petrone et al. https://doi.org/10.1016/j.engstruct.2019.110120
39. Developing an Event-Tree Probabilistic Tsunami Inundation Model for NE Atlantic Coasts: Application to a Case Study R. Omira et al. https://doi.org/10.1007/s00024-016-1367-z
40. Tsunami hazard assessment of Guadeloupe Island (F.W.I.) related to a megathrust rupture on the Lesser Antilles subduction interface J. Roger et al. https://doi.org/10.5194/nhess-13-1169-2013
41. Criteria for the transition from a breaking bore to an undular bore E. Pelinovsky et al. https://doi.org/10.1134/S0001433815050096
42. Dispersive modeling of the 2009 Samoa tsunami H. Zhou et al. https://doi.org/10.1029/2012GL053068
43. Tsunami risk management for crustal earthquakes and non-seismic sources in Italy J. Selva et al. https://doi.org/10.1007/s40766-021-00016-9
44. Finite volume schemes for dispersive wave propagation and runup D. Dutykh et al. https://doi.org/10.1016/j.jcp.2011.01.003
45. Energy of tsunami waves generated by bottom motion D. Dutykh & F. Dias https://doi.org/10.1098/rspa.2008.0332
46. Infragravity waves across the oceans A. Rawat et al. https://doi.org/10.1002/2014GL061604
47. Modeling study of tsunami wave propagation M. Regina & E. Mohamed https://doi.org/10.1007/s13762-022-04484-2
48. Effects of rupture complexity on local tsunami inundation: Implications for probabilistic tsunami hazard assessment by example C. Mueller et al. https://doi.org/10.1002/2014JB011301
49. Shoreline and land use–land cover changes along the 2004-tsunami-affected South Andaman coast: understanding changing hazard susceptibility V. Ghadamode et al. https://doi.org/10.5194/nhess-24-3013-2024
50. Tsunami simulation and boulder transport across contrasting coastal geomorphologies in Sanriku, Japan S. Roberts et al. https://doi.org/10.1016/j.geomorph.2025.110026
51. The UBO-TSUFD tsunami inundation model: validation and application to a tsunami case study focused on the city of Catania, Italy S. Tinti & R. Tonini https://doi.org/10.5194/nhess-13-1795-2013
52. Mixed neural operator learning on the solitary wave propagation over slope topography and inverse problem A. Liang et al. https://doi.org/10.1063/5.0239137
53. Stochastic Source Modelling and Tsunami Hazard Analysis of the 2012 Mw7.8 Haida Gwaii Earthquake K. Goda & K. Martínez Alcala https://doi.org/10.1007/s00024-022-03061-5
54. Improvement of Tsunami Countermeasures Based on Lessons from The 2011 Great East Japan Earthquake and Tsunami — Situation After Five Years A. Suppasri et al. https://doi.org/10.1142/S0578563416400118
55. The role of Coriolis force in the dynamics of the waves excited in the ocean by deep-focal earthquakes . Носов et al. https://doi.org/10.25743/ICT.2019.24.1.006
56. Parameter sensitivity and uncertainty analysis for a storm surge and wave model L. Bastidas et al. https://doi.org/10.5194/nhess-16-2195-2016
57. Artificial neural network for tsunami forecasting M. Romano et al. https://doi.org/10.1016/j.jseaes.2008.11.003
58. Assessing the potential tsunami source of the Manila trench at the Bengkayang nuclear power plant site in Kalimantan using topographical details S. Pribadi et al. https://doi.org/10.14710/ijred.2024.57967
59. Tsunami propagation scenarios in the South China Sea M. Dao et al. https://doi.org/10.1016/j.jseaes.2008.09.009
60. Estimation of Bedform Friction Factor Directly from Bathymetry Data M. Lee et al. https://doi.org/10.1007/s12205-024-1589-z
61. Validating Velocities in the GeoClaw Tsunami Model Using Observations near Hawaii from the 2011 Tohoku Tsunami M. Arcos & R. LeVeque https://doi.org/10.1007/s00024-014-0980-y
62. Computational Analysis of Tsunami Wave Run-Up by Implementation of TIMPULSE-SIM Model with Japan and Indonesian Seismic Tsunami M. Regina & E. Mohamed https://doi.org/10.37394/232015.2024.20.67
63. Modelling of tsunami-like wave run-up, breaking and impact on a vertical wall by SPH method M. Dao et al. https://doi.org/10.5194/nhess-13-3457-2013
64. The VOLNA code for the numerical modeling of tsunami waves: Generation, propagation and inundation D. Dutykh et al. https://doi.org/10.1016/j.euromechflu.2011.05.005
65. The influence of land cover roughness on the results of high resolution tsunami inundation modeling G. Kaiser et al. https://doi.org/10.5194/nhess-11-2521-2011
66. Analysis of Tsunami Flow Velocities during the March 2011 Tohoku, Japan, Tsunami P. Foytong et al. https://doi.org/10.1193/1.4000128