11 citations as recorded by crossref.

1. Coupled effects of earthquake and rainfall on landslide susceptibility in non-tropical coastal areas: assessing governing mechanisms and innovative slope protection strategy P. Khadka et al. 10.1007/s44290-025-00227-7
2. A Step towards Integrating CMORPH Precipitation Estimation with Rain Gauge Measurements A. Pereira Filho et al. 10.1155/2018/2095304
3. Analysis of extreme rainfall and landslides in the metropolitan region of the Paraiba do Sul River Valley and North Coast of Sao Paulo, Brazil R. da Silva et al. 10.1007/s00704-024-04857-2
4. Landslide susceptibility assessment in complex geological settings: sensitivity to geological information and insights on its parameterization S. Segoni et al. 10.1007/s10346-019-01340-2
5. An impact-based forecast system developed for hydrometeorological hazards O. de Moraes 10.1016/j.ijdrr.2023.103803
6. A Comparative of Frequency Ratio Method, Weight of Evidence, and Analytical Hierarchy Process for Landslide Susceptibility Assessment in the Main Boundary Thrust (MBT) Region in Ranitar-Belarang Section of Udayapur District, Koshi Province, Nepal K. Paudyal et al. 10.15446/esrj.v28n3.112740
7. Relevant geological-geotechnical parameters to evaluate the terrain susceptibility for shallow landslides: Nova Friburgo, Rio de Janeiro, Brazil R. da Silva et al. 10.1007/s10064-021-02557-z
8. Landslide Susceptibility Assessment Using Frequency Ratio Technique with Iterative Random Sampling H. Oh et al. 10.1155/2017/3730913
9. Dynamics of mass movements in an urban basin: a case study in the Fradinhos drainage Basin, Vitória, Espírito Santo, Brazil J. Oliveira et al. 10.1007/s11069-024-06956-9
10. Hydro-Meteorological Landslide Inventory for Sustainable Urban Management in a Coastal Region of Brazil P. Hader et al. 10.3390/su17167487
11. The study of artificial intelligence for predicting land use changes in an arid ecosystem Y. Yu et al. 10.1007/s11442-022-1969-6