13 citations as recorded by crossref.

1. 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
2. Towards real-time earthquake impact alerting in Indonesia S. Pramono et al. https://doi.org/10.1144/SP441.4
3. Advances in earthquake and tsunami sciences and disaster risk reduction since the 2004 Indian ocean tsunami K. Satake https://doi.org/10.1186/s40562-014-0015-7
4. Tsunami forecasting based on deepwater-station data M. Nosov & S. Grigorieva https://doi.org/10.3103/S002713491504013X
5. Maximum tsunami height prediction using pressure gauge data by a Gaussian process at Owase in the Kii Peninsula, Japan Y. Igarashi et al. https://doi.org/10.1007/s11001-016-9286-z
6. Motivation, Satisfaction, and Risks of Operational Forces and Helpers Regarding the 2021 and 2013 Flood Operations in Germany A. Fekete https://doi.org/10.3390/su132212587
7. Resilience learning and indigenous knowledge of earthquake risk in Indonesia H. Kurnio et al. https://doi.org/10.1016/j.ijdrr.2021.102423
8. Tsunami vulnerability evaluation in the Mentawai islands based on the field survey of the 2010 tsunami T. Mikami et al. https://doi.org/10.1007/s11069-013-0936-z
9. Are We in the Right Path in Using Early Warning Systems? V. Thandlam et al. https://doi.org/10.1142/S2345737619500039
10. Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding F. Manta et al. https://doi.org/10.1038/s41598-020-68097-w
11. A Decade After the 2004 Indian Ocean Tsunami: The Progress in Disaster Preparedness and Future Challenges in Indonesia, Sri Lanka, Thailand and the Maldives A. Suppasri et al. https://doi.org/10.1007/s00024-015-1134-6
12. Analysis of Pressure and Acceleration Signals from the 2011 Tohoku Earthquake Observed by the DONET Seafloor Network H. Matsumoto et al. https://doi.org/10.20965/jdr.2017.p0163
13. Improving Indonesia's tsunami early warning. Part II: Hybridized deep learning and metaheuristic algorithm for forecasting and optimizing M. Purnama et al. https://doi.org/10.1016/j.oceaneng.2025.121496