70 citations as recorded by crossref.

1. GIS-based prediction method of landslide susceptibility using a rainfall infiltration-groundwater flow model J. Kim et al. https://doi.org/10.1016/j.enggeo.2014.09.001
2. Slope susceptibility map for preventive measures against rainfall-induced slope failure H. Rahardjo et al. https://doi.org/10.1007/s44285-023-00006-9
3. Characteristics of Shallow Moisture Changes in Unsaturated Soil Slopes Covered with Vegetation under Different Rainfall Rates Y. Li et al. https://doi.org/10.1061/JHYEFF.HEENG-6428
4. Rainfall‐triggered shallow landslides: infiltration dynamics in a physical hillslope model M. Lora et al. https://doi.org/10.1002/hyp.10829
5. Geomorphological control on variably saturated hillslope hydrology and slope instability F. Giuseppe et al. https://doi.org/10.1002/2015WR017626
6. Invited perspectives: Hydrological perspectives on precipitation intensity-duration thresholds for landslide initiation: proposing hydro-meteorological thresholds T. Bogaard & R. Greco https://doi.org/10.5194/nhess-18-31-2018
7. Integration of rainfall thresholds and susceptibility maps in the Emilia Romagna (Italy) regional-scale landslide warning system S. Segoni et al. https://doi.org/10.1007/s10346-014-0502-0
8. A prototype system for space–time assessment of rainfall-induced shallow landslides in Italy L. Montrasio et al. https://doi.org/10.1007/s11069-014-1239-8
9. How do spatial variations in soil-water characteristic curves control the local stability of landslide deposits? Z. Qi et al. https://doi.org/10.1016/j.ejrh.2026.103577
10. Soil moisture response to water infiltration in a 1-D slope soil column model F. Wang et al. https://doi.org/10.1016/j.enggeo.2020.105482
11. Transient infiltration tests in pyroclastic soils with double porosity C. Sepe et al. https://doi.org/10.1007/s11629-023-7955-3
12. Implications of slope aspect for landslide risk assessment: A case study of Hurricane Maria in Puerto Rico in 2017 Y. Gorokhovich & A. Vustianiuk https://doi.org/10.1016/j.geomorph.2021.107874
13. Predicting peakflows in mountain river basins and data-scarce areas: a case study in northeastern Italy E. Arnone et al. https://doi.org/10.1080/02626667.2022.2162408
14. A three-dimensional agro-hydrological model for predictive analysis of shallow landslides: CRITERIA-3D G. Sannino et al. https://doi.org/10.1016/j.enggeo.2025.108073
15. Implementation of a slope stability method in the CRITERIA-1D agro-hydrological modeling scheme G. Sannino et al. https://doi.org/10.1007/s10346-024-02313-w
16. Introducing a methodology to quantify the hydro-mechanical protective effects of forests on slope stability: application to a deciduous forest in Western Norway A. DiBiagio et al. https://doi.org/10.1016/j.catena.2026.110176
17. Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping E. Arnone et al. https://doi.org/10.1016/j.envsoft.2016.07.016
18. Parameter Uncertainty in Shallow Rainfall-triggered Landslide Modeling at Basin Scale: A Probabilistic Approach E. Arnone et al. https://doi.org/10.1016/j.proeps.2014.06.003
19. Effects of roots cohesion on regional distributed slope stability modelling E. Masi et al. https://doi.org/10.1016/j.catena.2022.106853
20. iCRESTRIGRS: a coupled modeling system for cascading flood–landslide disaster forecasting K. Zhang et al. https://doi.org/10.5194/hess-20-5035-2016
21. Seasonal and spatial characterization of soil moisture and soil water tension in a steep hillslope E. Lee & S. Kim https://doi.org/10.1016/j.jhydrol.2018.11.027
22. Accounting for soil parameter uncertainty in a physically based and distributed approach for rainfall-triggered landslides E. Arnone et al. https://doi.org/10.1002/hyp.10609
23. Forest Structure and Composition Are Critical to Hurricane Mortality J. Zhang et al. https://doi.org/10.3390/f13020202
24. Assessing locations susceptible to shallow landslide initiation during prolonged intense rainfall in the Lares, Utuado, and Naranjito municipalities of Puerto Rico R. Baum et al. https://doi.org/10.5194/nhess-24-1579-2024
25. Modeling the hydrological and mechanical effect of roots on shallow landslides E. Arnone et al. https://doi.org/10.1002/2015WR018227
26. Hydro-mechanical effects of deciduous forest on slope stability: First results from a case study in Western Norway A. DiBiagio et al. https://doi.org/10.1051/e3sconf/202564201011
27. Quantifying the spatio-temporal mechanical root reinforcement of the pioneer species Betula pendula: experimental investigations and modelling for a case study in Western Norway A. DiBiagio et al. https://doi.org/10.1016/j.ecoleng.2026.107984
28. A hydroclimatological approach to predicting regional landslide probability using Landlab R. Strauch et al. https://doi.org/10.5194/esurf-6-49-2018
29. Case study of a landslide continuous probability rainfall threshold analysis based on the prediction interval principle Y. Huang et al. https://doi.org/10.1038/s41598-023-29625-6
30. Automated hydrologic forecasting using open-source sensors: Predicting stream depths across 200,000 km2 T. Dantzer & B. Kerkez https://doi.org/10.1016/j.envsoft.2024.106137
31. The SESAMO early warning system for rainfall-triggered landslides D. Pumo et al. https://doi.org/10.2166/hydro.2015.060
32. Modeling shallow landslides and root reinforcement: A review I. Murgia et al. https://doi.org/10.1016/j.ecoleng.2022.106671
33. Global change effects on humid tropical forests: Evidence for biogeochemical and biodiversity shifts at an ecosystem scale D. Cusack et al. https://doi.org/10.1002/2015RG000510
34. Soil moisture causes dynamic adjustments to root reinforcement that reduce slope stability T. Hales & C. Miniat https://doi.org/10.1002/esp.4039
35. A coupled hydrological-geotechnical framework for forecasting shallow landslide hazard—a case study in Halong City, Vietnam N. Ha et al. https://doi.org/10.1007/s10346-020-01385-8
36. How far are we from the use of satellite rainfall products in landslide forecasting? M. Brunetti et al. https://doi.org/10.1016/j.rse.2018.03.016
37. Quantifying the three-dimensional effects of anisotropic soil horizons on hillslope hydrology and stability G. Formetta & G. Capparelli https://doi.org/10.1016/j.jhydrol.2018.12.064
38. Modeling the combined effects of the 2023 Türkiye–Syria earthquake and an Atmospheric River event on landslide hazard H. Jimenez et al. https://doi.org/10.5194/nhess-26-3815-2026
39. A vegetation-aware deep learning model for landslide prediction with antecedent rainfall C. Ng et al. https://doi.org/10.1680/jgeot.25.00551
40. Landslide prediction, monitoring and early warning: a concise review of state-of-the-art B. Chae et al. https://doi.org/10.1007/s12303-017-0034-4
41. Improving the reliability of landslide susceptibility mapping through spatial uncertainty analysis: a case study of Al Hoceima, Northern Morocco H. Rahali https://doi.org/10.1080/10106049.2017.1357767
42. Eighty Years of Data Collected for the Determination of Rainfall Threshold Triggering Shallow Landslides and Mud-Debris Flows in the Alps F. Luino et al. https://doi.org/10.3390/w12010133
43. Effects of Mass Wasting on the Physiochemical Properties of Fluvial Sediments in Puerto Rico Following Hurricane Maria N. Webb et al. https://doi.org/10.1029/2021JF006509
44. Challenges of modeling rainfall triggered landslides in a data-sparse region: A case study from the Western Ghats, India C. Vishnu et al. https://doi.org/10.1016/j.geogeo.2022.100060
45. Vegetation as a driver of temporal variations in slope stability: The impact of hydrological processes J. Kim et al. https://doi.org/10.1002/2017GL073174
46. Assessing the impact of climate-change scenarios on landslide occurrence in Umbria Region, Italy L. Ciabatta et al. https://doi.org/10.1016/j.jhydrol.2016.02.007
47. iHydroSlide3D v1.0: an advanced hydrological–geotechnical model for hydrological simulation and three-dimensional landslide prediction G. Chen et al. https://doi.org/10.5194/gmd-16-2915-2023
48. Coupling Effects in Rainfall-induced Slope Stability Considering Hydro-mechanical Model Y. Kim & S. Jeong https://doi.org/10.7843/kgs.2015.31.9.5
49. Modelling biome‐scale root reinforcement and slope stability T. Hales https://doi.org/10.1002/esp.4381
50. Rainfall threshold for prediction of shallow landslides in the Garhwal Himalaya, India S. Saha & B. Bera https://doi.org/10.1016/j.geogeo.2024.100285
51. On the Leonardo's rule for the assessment of root profile F. Preti et al. https://doi.org/10.1016/j.ecoleng.2022.106620
52. Impact of hydrologically driven hillslope erosion and landslide occurrence on soil organic carbon dynamics in tropical watersheds Y. Dialynas et al. https://doi.org/10.1002/2016WR018925
53. A tool for the automatic calculation of rainfall thresholds for landslide occurrence M. Melillo et al. https://doi.org/10.1016/j.envsoft.2018.03.024
54. Assessing the mechanical effects of vegetation on the stability of slopes with different geometries and soil types Q. Chen et al. https://doi.org/10.1007/s10064-023-03504-w
55. Geotechnical and hydrological characterization of hillslope deposits for regional landslide prediction modeling G. Bicocchi et al. https://doi.org/10.1007/s10064-018-01449-z
56. Deterministic Physically Based Distributed Models for Rainfall-Induced Shallow Landslides G. Sannino et al. https://doi.org/10.3390/geosciences14100255
57. The use of soil water retention curve models in analyzing slope stability in differently structured soils C. Antinoro et al. https://doi.org/10.1016/j.catena.2016.11.019
58. Soil characterization for shallow landslides modeling: a case study in the Northern Apennines (Central Italy) V. Tofani et al. https://doi.org/10.1007/s10346-017-0809-8
59. Differentiable modelling to unify machine learning and physical models for geosciences C. Shen et al. https://doi.org/10.1038/s43017-023-00450-9
60. Nature-based solutions efficiency evaluation against natural hazards: Modelling methods, advantages and limitations P. Kumar et al. https://doi.org/10.1016/j.scitotenv.2021.147058
61. A WD-GA-LSSVM model for rainfall-triggered landslide displacement prediction X. Zhu et al. https://doi.org/10.1007/s11629-016-4245-3
62. State-of-the-art: parametrization of hydrological and mechanical reinforcement effects of vegetation in slope stability models for shallow landslides A. DiBiagio et al. https://doi.org/10.1007/s10346-024-02300-1
63. Coupled prediction of flash flood response and debris flow occurrence: Application on an alpine extreme flood event E. Destro et al. https://doi.org/10.1016/j.jhydrol.2018.01.021
64. Modeling Sediment Yield in Land Surface and Earth System Models: Model Comparison, Development, and Evaluation Z. Tan et al. https://doi.org/10.1029/2017MS001270
65. An overview of different models used in the deterministic approach for landslide susceptibility mapping W. Manan et al. https://doi.org/10.1051/e3sconf/202346419003
66. Improving Spatial Landslide Prediction with 3D Slope Stability Analysis and Genetic Algorithm Optimization: Application to the Oltrepò Pavese N. Palazzolo et al. https://doi.org/10.3390/w13060801
67. Implications of terrain resolution on modeling rainfall-triggered landslides using a TIN- based model E. Arnone et al. https://doi.org/10.1016/j.envsoft.2021.105067
68. Susceptibility Assessments of Landslides in Hulu Kelang Area Using a Geographic Information System-Based Prediction Model S. Jeong et al. https://doi.org/10.3390/su10082941
69. Hydro‐geomorphic behavior of contrasting tropical landscapes and critical zone response to changing climate Y. Dialynas & R. Bras https://doi.org/10.1002/esp.4503
70. A catchment-scale landslide hydro-mechanical coupling model considering spatial heterogeneity Z. Deng et al. https://doi.org/10.1016/j.jhydrol.2025.134855