46 citations as recorded by crossref.

1. Machine learning emulation of high resolution inundation maps E. Briseid Storrøsten et al. https://doi.org/10.1093/gji/ggae151
2. Importance of earthquake rupture geometry on tsunami modelling: the Calabrian Arc subduction interface (Italy) case study R. Tonini et al. https://doi.org/10.1093/gji/ggaa409
3. A risk-based multi-level stress test methodology: application to six critical non-nuclear infrastructures in Europe S. Argyroudis et al. https://doi.org/10.1007/s11069-019-03828-5
4. Probabilistic Tsunami Hazard Assessment in Meso and Macro Tidal Areas. Application to the Cádiz Bay, Spain M. González et al. https://doi.org/10.3389/feart.2021.591383
5. 南海海啸灾害研究进展及展望 琳. 李 et al. https://doi.org/10.1360/SSTe-2021-0262
6. Assessment of the inundation probability caused by tsunamis along the eastern coast of Hainan Island H. He & X. Niu https://doi.org/10.1080/21664250.2024.2402615
7. Time‐Dependent Probabilistic Tsunami Inundation Assessment Using Mode Decomposition to Assess Uncertainty for an Earthquake Scenario Y. Fukutani et al. https://doi.org/10.1029/2021JC017250
8. Tsunami risk perception in southern Italy: first evidence from a sample survey A. Cerase et al. https://doi.org/10.5194/nhess-19-2887-2019
9. Modern outlook on the source of the 551 AD tsunamigenic earthquake that struck the Phoenician (Lebanon) coast A. Salamon et al. https://doi.org/10.1007/s11069-024-06559-4
10. Hellenic Arc tsunami generation from MW 8+ 3-D margin-wide dynamic rupture earthquake scenarios S. Wirp et al. https://doi.org/10.1093/gji/ggag181
11. Global Dissipation Models for Simulating Tsunamis at Far-Field Coasts up to 60 hours Post-Earthquake: Multi-Site Tests in Australia G. Davies et al. https://doi.org/10.3389/feart.2020.598235
12. Refined risk assessment of probabilistic tsunami inundation assisted by SDGSAT-1 glimmer imagery Z. Sun & X. Niu https://doi.org/10.1016/j.rse.2025.114792
13. Development of inundation maps along East Coast of Peninsular Malaysia due to predicted seaquake from Manila Trench A. Aziz et al. https://doi.org/10.1007/s13201-022-01860-8
14. Probabilistic quantification of tsunami current hazard using statistical emulation D. Gopinathan et al. https://doi.org/10.1098/rspa.2021.0180
15. Sensitivity of Tsunami Scenarios to Complex Fault Geometry and Heterogeneous Slip Distribution: Case‐Studies for SW Iberia and NW Morocco C. Serra et al. https://doi.org/10.1029/2021JB022127
16. Probabilistic hazard analysis for tsunamis generated by subaqueous volcanic explosions in the Campi Flegrei caldera, Italy R. Paris et al. https://doi.org/10.1016/j.jvolgeores.2019.05.010
17. From offshore to onshore probabilistic tsunami hazard assessment via efficient Monte Carlo sampling G. Davies et al. https://doi.org/10.1093/gji/ggac140
18. Estimation of human damage and economic loss of buildings related to tsunami inundation in the city of Augusta, Italy G. Pagnoni et al. https://doi.org/10.1144/SP501-2019-134
19. Identification of representative earthquakes for probabilistic tsunami hazard analysis (PTHA) using earthquake rupture forecasts and machine learning E. Geist & T. Parsons https://doi.org/10.1093/gji/ggaf173
20. The Making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18) R. Basili et al. https://doi.org/10.3389/feart.2020.616594
21. Multisource Bayesian Probabilistic Tsunami Hazard Analysis for the Gulf of Naples (Italy) A. Grezio et al. https://doi.org/10.1029/2019JC015373
22. Probabilistic tsunami hazard assessment with simulation-based response surfaces T. Kotani et al. https://doi.org/10.1016/j.coastaleng.2020.103719
23. Assessing probability of building damages due to tsunami hazards coupled with characteristics of buildings in Banda Aceh, Indonesia: A way to increase understanding of tsunami risks . Syamsidik et al. https://doi.org/10.1016/j.ijdrr.2023.103652
24. A Source Clustering Approach for Efficient Inundation Modeling and Regional Scale Probabilistic Tsunami Hazard Assessment A. Williamson et al. https://doi.org/10.3389/feart.2020.591663
25. Probabilistic tsunami hazard assessment based on the Gutenberg–Richter law in eastern Shikoku, Nankai subduction zone, Japan T. Baba et al. https://doi.org/10.1186/s40623-022-01715-1
26. Microzoning Tsunami Hazard by Combining Flow Depths and Arrival Times N. Zamora et al. https://doi.org/10.3389/feart.2020.591514
27. Regional probabilistic tsunami hazard assessment associated with active faults along the eastern margin of the Sea of Japan I. Mulia et al. https://doi.org/10.1186/s40623-020-01256-5
28. A heuristic features selection approach for scenario analysis in a regional seismic probabilistic tsunami hazard assessment F. Di Maio et al. https://doi.org/10.1016/j.ijdrr.2022.103112
29. Fast High-Resolution S-PTHA Along the Western Mediterranean Sea Coastlines. Application to the Bay of Cannes V. Souty  & A. Gailler https://doi.org/10.3389/feart.2021.765610
30. Forward energy grade line analysis for tsunami inundation mapping M. Estrada et al. https://doi.org/10.1016/j.coastaleng.2024.104673
31. Importance sampling of seismic tsunami sources with near-field emphasis for inundation PTHA: benchmarking with complete ensembles A. Abbate et al. https://doi.org/10.1093/gji/ggaf034
32. Tsunami hazard assessment in the South China Sea: A review of recent progress and research gaps L. Li et al. https://doi.org/10.1007/s11430-021-9893-8
33. A neural network-based surrogate model for efficient probabilistic tsunami inundation assessment Y. Fukutani & M. Motoki https://doi.org/10.1016/j.coastaleng.2025.104767
34. Probabilistic Tsunami Hazard Analysis: High Performance Computing for Massive Scale Inundation Simulations S. Gibbons et al. https://doi.org/10.3389/feart.2020.591549
35. Probabilistic, high-resolution tsunami predictions in northern Cascadia by exploiting sequential design for efficient emulation D. Salmanidou et al. https://doi.org/10.5194/nhess-21-3789-2021
36. The Sensitivity of Tsunami Impact to Earthquake Source Parameters and Manning Friction in High-Resolution Inundation Simulations S. Gibbons et al. https://doi.org/10.3389/feart.2021.757618
37. 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
38. Efficient probabilistic prediction of tsunami inundation considering random tsunami sources and the failure probability of seawalls Y. Fukutani et al. https://doi.org/10.1007/s00477-023-02379-3
39. Testing Tsunami Inundation Maps for Evacuation Planning in Italy R. Tonini et al. https://doi.org/10.3389/feart.2021.628061
40. Tsunami fragility for anchored floating-roof atmospheric tanks A. Vitale et al. https://doi.org/10.1016/j.jlp.2026.105928
41. Probabilistic Tsunami Hazard and Risk Analysis: A Review of Research Gaps J. Behrens et al. https://doi.org/10.3389/feart.2021.628772
42. Parallel density scanned adaptive Kriging to improve local tsunami hazard assessment for coastal infrastructures F. Di Maio et al. https://doi.org/10.1016/j.ress.2022.108441
43. INFLUENCE ASSESSMENTS OF VARIOUS FEATURES FOR TSUNAMI SOURCE AND FAULT DEFORMATION DISTRIBUTION ON TSUNAMI HEIGHT AT SHORELINE ~CASE STUDY AT NUCLEAR POWER PLANT INTO EARTHQUAKES ALONG THE JAPAN TRENCH~ A. NISHI & G. SHOJI https://doi.org/10.2208/jscejj.24-13522
44. Sensitivity of Probabilistic Tsunami Hazard Assessment to Far-Field Earthquake Slip Complexity and Rigidity Depth-Dependence: Case Study of Australia G. Davies & J. Griffin https://doi.org/10.1007/s00024-019-02299-w
45. Uncertainty Quantification for Earthquake and Tsunami Risk Analysis with Application to Valparaíso, Chile H. Rosero-Velásquez et al. https://doi.org/10.1061/AJRUA6.RUENG-1655
46. A methodology for tsunami inundation numerical simulations relying on inputs from probabilistic databases G. Ruffini et al. https://doi.org/10.1007/s11069-025-07892-y