11 citations as recorded by crossref.

1. MultiHazard: Copula-based Joint Probability Analysis in R R. Jane et al. https://doi.org/10.21105/joss.08350
2. A cluster-based temporal attention approach for predicting cyclone-induced compound flood dynamics S. Daramola et al. https://doi.org/10.1016/j.envsoft.2025.106499
3. Establishing coastal water level magnitude-duration-frequency curves for infrastructure design M. Sohrabi et al. https://doi.org/10.1016/j.advwatres.2025.105179
4. Unlocking the benefits of transparent and reusable science for climate risk management A. Pollack et al. https://doi.org/10.1073/pnas.2422157123
5. Hazard potential of compound flooding from rainfall, storm surge, and groundwater in coastal New York and Connecticut R. Glas et al. https://doi.org/10.5194/nhess-26-2169-2026
6. Large discrepancies between event- and response-based compound flood hazard estimates S. Santamaria-Aguilar et al. https://doi.org/10.5194/nhess-26-571-2026
7. Inundación compuesta en el estuario de Santoña: umbrales bivariados y su aplicación en alertas tempranas D. Gómez-Rave et al. https://doi.org/10.4995/ia.2025.23025
8. Multivariate design events for compound flooding analysis in estuaries D. Gomez Rave et al. https://doi.org/10.1016/j.coastaleng.2025.104850
9. Generating Boundary Conditions for Compound Flood Modeling in a Probabilistic Framework P. Maduwantha et al. https://doi.org/10.5194/hess-30-401-2026
10. Assessing the spatial correlation of potential compound flooding in the United States H. Li et al. https://doi.org/10.5194/nhess-26-391-2026
11. Unraveling uncertainty in compound flood modeling: sensitivity of simulations to forcings and model parameters C. Wang et al. https://doi.org/10.1016/j.jhydrol.2026.135424