28 citations as recorded by crossref.

1. What Can We Do to Forecast Tsunami Hazards in the Near Field Given Large Epistemic Uncertainty in Rapid Seismic Source Inversions? R. Cienfuegos et al. https://doi.org/10.1029/2018GL076998
2. Instant tsunami early warning based on real-time GPS – Tohoku 2011 case study A. Hoechner et al. https://doi.org/10.5194/nhess-13-1285-2013
3. Rapid kinematic finite-fault inversion for anMw7+ scenario earthquake in the Marmara Sea: an uncertainty study F. Diao et al. https://doi.org/10.1093/gji/ggv459
4. Integrating Tsunami Inundation Modelling and Community Preparedness Perception for Coastal Risk Assessment: A Case Study of Tanjung Benoa, Bali, Indonesia S. Anggraini et al. https://doi.org/10.3390/su18031614
5. Operational tsunami modelling with TsunAWI – recent developments and applications N. Rakowsky et al. https://doi.org/10.5194/nhess-13-1629-2013
6. Rapid tsunami inundation forecast using pre-computed earthquake scenarios and offshore data W. Weniza et al. https://doi.org/10.1016/j.coastaleng.2023.104353
7. User interface prototype for geospatial early warning systems – a tsunami showcase M. Hammitzsch et al. https://doi.org/10.5194/nhess-12-555-2012
8. WEGENER: World Earthquake GEodesy Network for Environmental Hazard Research H. Ozener et al. https://doi.org/10.1016/j.jog.2012.12.005
9. Tsunamigenic earthquakes in the Gulf of Cadiz: fault model and recurrence L. Matias et al. https://doi.org/10.5194/nhess-13-1-2013
10. The Tsunami Scenario Database of the Indonesia Tsunami Early Warning System (InaTEWS): Evolution of the Coverage and the Involved Modeling Approaches S. Harig et al. https://doi.org/10.1007/s00024-019-02305-1
11. 3D Linked Subduction, Dynamic Rupture, Tsunami, and Inundation Modeling: Dynamic Effects of Supershear and Tsunami Earthquakes, Hypocenter Location, and Shallow Fault Slip S. Aniko Wirp et al. https://doi.org/10.3389/feart.2021.626844
12. Investigation on afterslip and steady state and transient rheology based on postseismic deformation and geoid change caused by the Sumatra 2004 earthquake A. Hoechner et al. https://doi.org/10.1029/2010GC003450
13. Nonlinear processes in tsunami simulations for the Peruvian coast with focus on Lima and Callao A. Androsov et al. https://doi.org/10.5194/nhess-24-1635-2024
14. Physical applications of GPS geodesy: a review Y. Bock & D. Melgar https://doi.org/10.1088/0034-4885/79/10/106801
15. Tsunami potential from local seismic sources along the southern Middle America Trench N. Zamora & A. Babeyko https://doi.org/10.1007/s11069-015-2004-3
16. Precise Positioning of BDS, BDS/GPS: Implications for Tsunami Early Warning in South China Sea K. Chen et al. https://doi.org/10.3390/rs71215814
17. Probabilistic tsunami hazard assessment for the Makran region with focus on maximum magnitude assumption A. Hoechner et al. https://doi.org/10.5194/nhess-16-1339-2016
18. Automated GNSS and Teleseismic Earthquake Inversion (AutoQuake Inversion) for Tsunami Early Warning: Retrospective and Real-Time Results K. Chen et al. https://doi.org/10.1007/s00024-019-02252-x
19. A probabilistic tsunami hazard assessment for Indonesia N. Horspool et al. https://doi.org/10.5194/nhess-14-3105-2014
20. Estimation of high-resolution tsunami inundation depth using deep learning models: Case study of Pangandaran, Indonesia S. Sriyanto et al. https://doi.org/10.1016/j.oceaneng.2025.121019
21. Development of tsunami early warning systems and future challenges J. Wächter et al. https://doi.org/10.5194/nhess-12-1923-2012
22. Tsunamigenic potential of crustal faults and subduction zones in the Mediterranean P. Petricca & A. Babeyko https://doi.org/10.1038/s41598-019-40740-1
23. Tsunami hazard assessment for the Cilegon industrial zone, Java, Indonesia, by considering various digital elevation model (DEM) datasets and fault source models S. Sriyanto et al. https://doi.org/10.1007/s12517-024-12133-w
24. Linked 3-D modelling of megathrust earthquake-tsunami events: from subduction to tsunami run up E. Madden et al. https://doi.org/10.1093/gji/ggaa484
25. Bayesian networks for tsunami early warning L. Blaser et al. https://doi.org/10.1111/j.1365-246X.2011.05020.x
26. Coastal and settlement typologies-based tsunami modeling along the northern Sumatra seismic gap zone for disaster risk reduction action plans A. Jihad et al. https://doi.org/10.1016/j.ijdrr.2020.101800
27. New computational methods in tsunami science J. Behrens & F. Dias https://doi.org/10.1098/rsta.2014.0382
28. An assessment of the diversity in scenario-based tsunami forecasts for the Indian Ocean D. Greenslade et al. https://doi.org/10.1016/j.csr.2013.06.001