86 citations as recorded by crossref.

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25. Assessing the Effectiveness of TRIGRS for Predicting Unstable Areas in a Tropical Mountain Basin (Colombian Andes) R. Marin et al. 10.1007/s10706-020-01630-w
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28. Soil Water Content Estimated by Support Vector Machine for the Assessment of Shallow Landslides Triggering: the Role of Antecedent Meteorological Conditions M. Bordoni et al. 10.1007/s10666-017-9586-y
29. Analysis of rainfall-induced shallow landslides in Jamne and Jaszcze stream valleys (Polish Carpathians) – preliminary results T. Zydroń et al. 10.1515/sggw-2016-0003
30. Infinite slope stability model and steady-state hydrology-based shallow landslide susceptibility evaluations: The Guneysu catchment area (Rize, Turkey) F. Keles & H. Nefeslioglu 10.1016/j.catena.2021.105161
31. Warning Model for Shallow Landslides Induced by Extreme Rainfall L. Chien et al. 10.3390/w7084362
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36. Comparative Analysis of Deterministic and Semiquantitative Approaches for Shallow Landslide Risk Modeling in Rwanda J. Nsengiyumva et al. 10.1111/risa.13359
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38. Assessment of a Dynamic Physically Based Slope Stability Model to Evaluate Timing and Distribution of Rainfall-Induced Shallow Landslides J. Thomas et al. 10.3390/ijgi12030105
39. The role of land use changes in the distribution of shallow landslides M. Persichillo et al. 10.1016/j.scitotenv.2016.09.125
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41. Site-specific to local-scale shallow landslides triggering zones assessment using TRIGRS M. Bordoni et al. 10.5194/nhess-15-1025-2015
42. Improving the estimation of complete field soil water characteristic curves through field monitoring data M. Bordoni et al. 10.1016/j.jhydrol.2017.07.004
43. GIS-based landslide spatial modeling in Ganzhou City, China H. Hong et al. 10.1007/s12517-015-2094-y
44. Identification, characterisation and analysis of the Oltrepo Pavese calanchi in the Northern Apennines (Italy) A. Bosino et al. 10.1016/j.geomorph.2019.05.003
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47. Grapevine root system strength in an area susceptible to shallow landslides for slope stability assessment M. Bordoni et al. 10.17660/ActaHortic.2016.1136.11
48. Mapping method of rainfall-induced landslide hazards by infiltration and slope stability analysis N. Dolojan et al. 10.1007/s10346-020-01617-x
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50. Sensitivity analysis and calibration of a dynamic physically based slope stability model T. Zieher et al. 10.5194/nhess-17-971-2017
51. Predicting landslide susceptibility and risks using GIS-based machine learning simulations, case of upper Nyabarongo catchment J. Nsengiyumva & R. Valentino 10.1080/19475705.2020.1785555
52. Probabilistic rainfall thresholds for triggering debris flows in a human-modified landscape R. Giannecchini et al. 10.1016/j.geomorph.2015.12.012
53. A probabilistic model for evaluating the reliability of rainfall thresholds for shallow landslides based on uncertainties in rainfall characteristics and soil properties S. Wu et al. 10.1007/s11069-017-2773-y
54. Évaluation de l’aléa glissements de terrain : état de l’art et perspectives pour la cartographie réglementaire en France Y. Thiery & M. Terrier 10.1051/geotech/2019003
55. A Simplified Approach to Assess the Soil Saturation Degree and Stability of a Representative Slope Affected by Shallow Landslides in Oltrepò Pavese (Italy) M. Bordoni et al. 10.3390/geosciences8120472
56. Improvement of landslide hazard assessments for regulatory zoning in France: STATE–OF–THE-ART perspectives and considerations Y. Thiery et al. 10.1016/j.ijdrr.2020.101562
57. Assessment of sudden sediment source areas incurred by extreme rainfall in a mountainous environment: Approach using a subsurface hydrologic concept M. Kim et al. 10.1016/j.quaint.2018.10.031
58. Determination of Areas Susceptible to Landsliding Using Spatial Patterns of Rainfall from Tropical Rainfall Measuring Mission Data, Rio de Janeiro, Brazil R. Guimarães et al. 10.3390/ijgi6100289
59. The Relevance of Geotechnical-Unit Characterization for Landslide-Susceptibility Mapping with SHALSTAB C. Melo et al. 10.3390/geohazards2040021
60. Preferential flow mechanisms identified from staining experiments in forested hillslopes K. Gerke et al. 10.1002/hyp.10468
61. Applicability and performance of deterministic and probabilistic physically based landslide modeling in a data-scarce environment of the Colombian Andes R. Marin et al. 10.1016/j.jsames.2021.103175
62. Soil characterization for shallow landslides modeling: a case study in the Northern Apennines (Central Italy) V. Tofani et al. 10.1007/s10346-017-0809-8
63. Assessing probability of failure of urban landslides through rapid characterization of soil properties and vegetation distribution S. Fiolleau et al. 10.1016/j.geomorph.2022.108560
64. Shallow landslide susceptibility mapping using high-resolution topography for areas devastated by super typhoon Haiyan M. Rabonza et al. 10.1007/s10346-015-0626-x
65. Combination of statistical and physically based methods to assess shallow slide susceptibility at the basin scale S. Oliveira et al. 10.5194/nhess-17-1091-2017
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78. Regional-scale landslide susceptibility modelling in the Cordillera Blanca, Peru—a comparison of different approaches E. Bueechi et al. 10.1007/s10346-018-1090-1
79. A free web-based approach for rainfall-induced landslide susceptibility modeling: Case study of Clearwater National Forest, Idaho, USA P. Gorsevski 10.1016/j.envsoft.2023.105632
80. The influence of cartographic representation on landslide susceptibility models: empirical evidence from a Brazilian UNESCO world heritage site J. Araujo Junior et al. 10.1007/s11069-024-06576-3
81. Assessment of Landslide Susceptibility of the Wiśnickie Foothills Mts. (The Flysch Carpathians, Poland) Using Selected Machine Learning Algorithms T. Zydroń et al. 10.3389/feart.2022.872192
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