87 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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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
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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
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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
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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
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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. GIS-based prediction method of shallow landslides induced by heavy rainfall in large mountainous areas X. Luo et al. 10.1007/s11629-023-8535-2
56. 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
57. 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
58. 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
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60. The Relevance of Geotechnical-Unit Characterization for Landslide-Susceptibility Mapping with SHALSTAB C. Melo et al. 10.3390/geohazards2040021
61. Preferential flow mechanisms identified from staining experiments in forested hillslopes K. Gerke et al. 10.1002/hyp.10468
62. 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
63. 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
64. 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
65. 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
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77. A review of slopes stability challenges and neighbour buildings M. Mahmood et al. 10.1088/1742-6596/1895/1/012014
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79. 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
80. 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
81. 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
82. 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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