17 citations as recorded by crossref.

1. An Assessment Methodology for the Evaluation of the Impacts of the COVID-19 Pandemic on the Italian Housing Market Demand F. Tajani et al. https://doi.org/10.3390/buildings11120592
2. Integrating climate change induced flood risk into future population projections E. Shu et al. https://doi.org/10.1038/s41467-023-43493-8
3. Bayesian spatiotemporal nonstationary model quantifies robust increases in daily extreme rainfall across the Western Gulf Coast Y. Lu et al. https://doi.org/10.1088/2752-5295/adf56e
4. Decomposing Future Exposure from Increasing Flood Risk and Forecast Population Changes Across Shared Socioeconomic Pathways (SSPs) in the United States J. Porter et al. https://doi.org/10.3390/w16223289
5. Assessment of a Machine Learning Algorithm Using Web Images for Flood Detection and Water Level Estimates M. Tedesco & J. Radzikowski https://doi.org/10.3390/geohazards4040025
6. Compound Minor Flooding and Relative Sea Level Rise in the Lower Winyah Bay Watershed, South Carolina, USA M. Fink et al. https://doi.org/10.1007/s12237-026-01672-y
7. Flood risk communication: Challenges and opportunities in Brazilian cities M. Noli da Fonseca et al. https://doi.org/10.1016/j.ijdrr.2025.105292
8. Existing evidence on the impact of climate risk on real estate valuations: a systematic map T. Piseddu & F. Vanhuyse https://doi.org/10.1186/s13750-026-00389-6
9. An integrated modeling approach to evaluate the impacts of nature-based solutions of flood mitigation across a small watershed in the southeast United States B. Guido et al. https://doi.org/10.5194/nhess-23-2663-2023
10. Subsurface characterization and seismic risk mapping in Padang City using HVSR and resistivity data A. Octova et al. https://doi.org/10.15243/jdmlm.2025.124.8127
11. How path dependency manifests in flood risk management: observations from four decades in the Ennstal and Aist catchments in Austria S. Seebauer et al. https://doi.org/10.1007/s10113-023-02029-y
12. Disaster warning messages: challenges and opportunities based on Brazil's experience M. da Fonseca & L. da Silva https://doi.org/10.1016/j.pdisas.2025.100440
13. A novel statistical approach to predict seasonal high tide flooding G. Dusek et al. https://doi.org/10.3389/fmars.2022.1073792
14. Hurricane/tropical storm rainwater chemistry in the US (from 2008 to 2019) Y. Qiu & J. Felix https://doi.org/10.1016/j.scitotenv.2021.149009
15. Flood risk and property value changes: understanding the impact of climate event exposure in the context of population change S. Sandoval Olascoga et al. https://doi.org/10.3389/frevc.2025.1615802
16. Artificial intelligence-empowered point cloud technologies for rapid resilience assessment of urban infrastructure under environment extremes: A comprehensive review Y. Tang et al. https://doi.org/10.1016/j.engappai.2026.114086
17. Shifting landscapes of risk: Quantifying pluvial flood vulnerability beyond the regulated floodplain N. Pricope et al. https://doi.org/10.1016/j.jenvman.2021.114221