8 citations as recorded by crossref.

1. Leveraging data driven approaches for enhanced tsunami damage modelling: Insights from the 2011 Great East Japan event M. Di Bacco et al.
2. Residential building and sub-building level flood damage analysis using simple and complex models R. Paulik et al.
3. Can macro- or meso-scale coping capacity variables improve the classification of building flood losses? D. Rodríguez Castro et al.
4. INSYDE-content: a synthetic, multi-variable flood damage model for household contents P. Acharya et al.
5. Towards multi-variable tsunami damage modeling for coastal roads: Insights from the application of explainable machine learning to the 2011 Great East Japan Event M. Di Bacco et al.
6. Building-scale flood loss estimation through vulnerability pattern characterization: application to an urban flood in Milan, Italy A. Taramelli et al.
7. The value of multi-source data for improved flood damage modelling with explicit input data uncertainty treatment: INSYDE 2.0 M. Di Bacco et al.
8. Key Drivers of Flash Flood Damage to Private Households D. Rodríguez Castro et al.