14 citations as recorded by crossref.

1. Time windows of opportunities to fight earthquake under-insurance: evidence from Google Trends F. Gizzi et al. 10.1057/s41599-020-0532-2
2. Tsunami insurance portfolio optimization for coastal residential buildings under non-stationary sea level rise effects based on sample average approximation A. Alhamid et al. 10.1007/s00477-023-02602-1
3. Identifying viable financing mechanisms for post-earthquake housing reconstruction in Canada: Case study of a M7 earthquake in British Columbia R. Costa 10.1177/87552930241305016
4. A study on factors influencing the acceptance of earthquake catastrophe insurance from the perspective of government-insurance collaboration W. Fang & Q. Yuan 10.1016/j.ijdrr.2024.105164
5. Can Investment Views Explain Why People Insure Their Cell Phones But Not Their Homes?—A New Perspective on the Catastrophe Insurance Puzzle A. Hofmann & P. Zweifel 10.3390/jrfm17010030
6. Earthquake Insurance in California, USA: What Does Community-Generated Big Data Reveal to Us? F. Gizzi & M. Potenza 10.3390/bdcc6020060
7. Effect of earthquake sequences on risk‐based catastrophe bond pricing H. Mistry et al. 10.1111/risa.14288
8. Relationships between earthquake insurance take-up rates and seismic risk indicators for Canadian households K. Goda et al. 10.1016/j.ijdrr.2020.101754
9. Insights into earthquake insurance demand in high-risk regions: A case study of Turkey H. Meral et al. 10.1016/j.ijdrr.2024.104725
10. Innovations in earthquake risk reduction for resilience: Recent advances and challenges F. Freddi et al. 10.1016/j.ijdrr.2021.102267
11. A Disaster Under-(Re)Insurance Puzzle: Home Bias in Disaster Risk-Bearing H. Ito & R. McCauley 10.1057/s41308-022-00172-w
12. Building a Natural Hazard Insurance System (NHIS): The Long-lasting Italian Case F. Gizzi et al. 10.3390/su132112269
13. Parametric Insurance—A Possible and Necessary Solution to Insure the Earthquake Risk of Romania N. Radu & F. Alexandru 10.3390/risks10030059
14. Uncovering the factors that affect earthquake insurance uptake using supervised machine learning J. Ng’ombe et al. 10.1038/s41598-023-48568-6