11 citations as recorded by crossref.

1. Discrete differential geometry of fluvial landscapes N. Klema et al. https://doi.org/10.5194/esurf-14-493-2026
2. Integrating AHP-based wildfire susceptibility with a CA–Markov urban growth scenario for exposure mapping in the coastal districts of İzmir Province, western Turkey M. Yılmaz & H. Alphan https://doi.org/10.1007/s11069-026-08133-6
3. Visualising the intellectual landscape of building fire risk assessment research: A bibliometric analysis from 1996 to 2024 X. Chang et al. https://doi.org/10.1016/j.rineng.2026.110142
4. GIS-based optimization framework for shelter site selection and population allocation under multi-hazard scenarios W. Wang et al. https://doi.org/10.1080/19475705.2026.2615217
5. Weather overrides fuel memory: Seasonal dynamics of fire hazard and the limits of the fire return interval V. Santana Neto et al. https://doi.org/10.1016/j.scitotenv.2026.182301
6. Wildfire Hazard Assessment based on Optimized Stacking Ensemble Model: A Case Study of Xichang City, China W. Yue et al. https://doi.org/10.1007/s41748-026-01230-3
7. Metaheuristic-Enhanced XGBoost Models for Improving Flood and Landslide Susceptibility Assessment Q. Vu et al. https://doi.org/10.1007/s41748-026-01051-4
8. A study of natural marine risks in the Mediterranean context: a case study of the coastal zone of Northern Morocco K. Agharroud et al. https://doi.org/10.3389/fmars.2025.1695978
9. Integrating CCD and Adaptive-dNBR With Metaheuristic-Optimized Hybrid Deep Learning for Wildfire Detection and Susceptibility Mapping in Los Angeles County A. Achmad et al. https://doi.org/10.1109/JSTARS.2026.3678448
10. Review article: Harnessing data-driven methods for climate multi-hazard and multi-risk assessment D. Ferrario et al. https://doi.org/10.5194/nhess-26-2975-2026
11. Spatiotemporal deformation trend assessment based on ICOPS and ICA methods using multitemporal InSAR data in industrial development zones M. Fadhillah et al. https://doi.org/10.1038/s41598-025-33279-x