7 citations as recorded by crossref.

1. Deep learning algorithms based landslide vulnerability modeling in highly landslide prone areas of Tamil Nadu, India S. Saha et al. https://doi.org/10.1007/s12303-024-0044-y
2. A collaborative (web-GIS) framework based on empirical data collected from three case studies in Europe for risk management of hydro-meteorological hazards Z. Aye et al. https://doi.org/10.1016/j.ijdrr.2015.12.001
3. Economic landslide susceptibility under a socio-economic perspective: an application to Umbria Region (Central Italy) M. Donnini et al. https://doi.org/10.1007/s10037-020-00143-6
4. Landslide risk reduction measures: A review of practices and challenges for the tropics J. Maes et al. https://doi.org/10.1177/0309133316689344
5. Socio-political drivers and consequences of landslide and flood risk zonation: A case study of Limbe city, Cameroon J. Maes et al. https://doi.org/10.1177/2399654418790767
6. Producing landslide-susceptibility maps for regional planning in data-scarce regions J. De Graff et al. https://doi.org/10.1007/s11069-012-0267-5
7. The relations between settlement and selected environmental features with regard to landslide hazard in the Polish Carpathians P. Śleszyński et al. https://doi.org/10.1016/j.catena.2025.108897