14 citations as recorded by crossref.

1. Use of delayed ERA5-Land soil moisture products for improving landslide early warning N. Palazzolo et al. https://doi.org/10.5194/nhess-25-4907-2025
2. A prototype adaptive mesh generator for enhancing computational efficiency and accuracy in physically-based modeling of flood-landslide hazards G. Chen et al. https://doi.org/10.1016/j.envsoft.2025.106458
3. Estimating missing daily streamflow data in a tropical basin with pronounced seasonal variability: A comparative case study from the Guayas River Basin, Ecuador D. Stay-Arevalo et al. https://doi.org/10.1016/j.envc.2025.101262
4. Experimental study on rainfall-induced slope failure monitoring using plastic optical fibers: signal characteristics and failure mechanism D. Hu et al. https://doi.org/10.1007/s10346-026-02754-5
5. Coupling hydrological, geotechnical and machine learning models to enhance landslide prediction for an early warning system: application to Upper Garonne River Basin, Pyrenees, Spain F. Asurza et al. https://doi.org/10.1007/s10346-025-02685-7
6. Integration of effective antecedent rainfall to improve the performance of rainfall thresholds for landslide early warning in Wanzhou District, China X. Liang et al. https://doi.org/10.1016/j.ijdrr.2025.105317
7. Critical rainfall thresholds for landslides based on extreme rainfall–induced clustered landslides and characteristic rainfall parameter analysis: a case study in Western Qinling Mountains, China S. Liu et al. https://doi.org/10.1007/s10346-026-02722-z
8. Short to long term space-time prediction of rain-induced landslides under uncertainty A. Mondini et al. https://doi.org/10.1016/j.scitotenv.2025.179453
9. In situ soil moisture data improve precipitation-based shallow landslide early warning through innovative machine learning methods T. Halter et al. https://doi.org/10.1007/s10346-025-02599-4
10. A satellite soil moisture– and radar rainfall–based methodology for slope-scale seepage–stability modelling of rainfall-induced landslides A. Jotisankasa et al. https://doi.org/10.1007/s10346-026-02732-x
11. Large-scale assessment of rainfall-induced landslide hazard based on hydrometeorological information: application to Partenio Massif (Italy) D. Roman Quintero et al. https://doi.org/10.5194/nhess-25-2679-2025
12. From hydro-meteorological thresholds towards an operational warning model for landslides at regional scale: A real-case application S. Zhang et al. https://doi.org/10.1016/j.enggeo.2026.108542
13. Evaluating the applicability of simulated soil moisture index in forecasting post-earthquake debris flows Z. Wei et al. https://doi.org/10.1016/j.enggeo.2026.108557
14. Advancing landslide early warning in the Indian Himalayas: SIGMA-based rainfall thresholds for Chamoli district K. Gupta et al. https://doi.org/10.1007/s11069-025-07785-0