58 citations as recorded by crossref.

1. Susceptibility to shallow landslides in a drainage basin in the Serra do Mar, São Paulo, Brazil, predicted using the SINMAP mathematical model T. Nery & B. Vieira
2. A multi-step hazard assessment for debris-flow prone areas influenced by hydroclimatic events V. Cabral et al.
3. Landslide prediction, monitoring and early warning: a concise review of state-of-the-art B. Chae et al.
4. Modeling the contribution of trees to shallow landslide development in a steep, forested watershed D. Kim et al.
5. Landslide inventory of the 2023 Serra do Mar disaster (Brazil) J. Bonini et al.
6. Influence of subsurface flow by Lidar DEMs and physical soil strength considering a simple hydrologic concept for shallow landslide instability mapping S. Kim et al.
7. Assessing limit equilibrium method approach and mapping critical areas for slope stability analysis in Serra do Mar Paranaense—Brazil A. Acevedo et al.
8. Influence Factors Involving Rainfall-Induced Shallow Slope Failure: Numerical Study S. Yubonchit et al.
9. A comparison of statistical and deterministic methods for shallow landslide susceptibility zoning in clayey soils M. Ciurleo et al.
10. A comparative evaluation of supervised machine learning algorithms for township level landslide susceptibility zonation in parts of Indian Himalayas B. Peethambaran et al.
11. Development of time-variant landslide-prediction software considering three-dimensional subsurface unsaturated flow H. An et al.
12. Assessment of landslide occurrences in Serra do Mar mountain range using kinematic analyses R. Cerri et al.
13. Warning Model for Shallow Landslides Induced by Extreme Rainfall L. Chien et al.
14. Landslide Susceptibility Mapping in Brazil: A Review H. Dias et al.
15. Preliminary studies on the dynamic prediction method of rainfall-triggered landslide Y. Chen et al.
16. Improving predictive power of physically based rainfall-induced shallow landslide models: a probabilistic approach S. Raia et al.
17. Physically-based landslide susceptibility analysis using Monte Carlo simulation in a tropical mountain basin R. Marin & Á. Mattos
18. Influence of soil mechanical and hydraulic parameters on the definition of rainfall intensity and duration thresholds based on Transient rainfall infiltration and grid-based regional slope-stability model (TRIGRS) S. Zhang et al.
19. Socio-geoenvironmental vulnerability index (SGeoVI) derived from hybrid modeling related to populations at-risk to landslides F. de Ávila et al.
20. Assessing global parameters of slope stability model using Earth data observations for forecasting rainfall – induced shallow landslides J. Thomas et al.
21. A hybrid model to overcome landslide inventory incompleteness issue for landslide susceptibility prediction J. Tan et al.
22. Developing an Accessible Landslide Susceptibility Model Using Open-Source Resources K. An et al.
23. Deterministic approach for susceptibility assessment of shallow debris slide in the Darjeeling Himalayas, India S. Sarkar et al.
24. A review of recent studies on landslide hazard in Latin America A. Valdés Carrera et al.
25. Landslide and debris flow susceptibility zonation using TRIGRS for the 2011 Seoul landslide event D. Park et al.
26. Sensitivity analysis and calibration of a dynamic physically based slope stability model T. Zieher et al.
27. Feasibility assessment of multi-criteria decision making and quantitative landslide susceptibility methods: A case study of Mao-Maram Manipur K. Khusulio & R. Kumar
28. Identifying hydrological pre-conditions and rainfall triggers of slope failures at catchment scale for 2014 storm events in the Ialomita Subcarpathians, Romania Z. Chitu et al.
29. Landslide susceptibility mapping using the infinite slope, SHALSTAB, SINMAP, and TRIGRS models in Serra do Mar, Brazil T. do Pinho & O. Augusto Filho
30. Influence of hydraulic properties on physically modelling slope stability and the definition of rainfall thresholds for shallow landslides R. Marin & M. Velásquez
31. Landslide susceptibility zonation around Dharamshala, Himachal Pradesh, India: an artificial intelligence model–based assessment K. Sweta et al.
32. Assessing shallow landslide hazards using the TRIGRS and SHALSTAB models, Serra do Mar, Brazil B. Vieira et al.
33. The influence of land use/land cover variability and rainfall intensity in triggering landslides: a back-analysis study via physically based models F. Ávila et al.
34. Shallow landslide prediction and analysis with risk assessment using a spatial model in a coastal region in the state of São Paulo, Brazil P. Camarinha et al.
35. Evaluation of the influence of soil mechanical parameters on the position of rainfall thresholds for shallow landslides M. Velásquez & R. Marin
36. Methodologies of Economic Measurement and Vulnerability Assessment for Application in Landslide Risk Analysis in a Highway Domain Strip: A Case Study in the Serra Pelada Region (Brazil) E. Felizardo Batista et al.
37. Physically based shallow translational landslide susceptibility analysis in Tibo catchment, NW of Portugal M. Teixeira et al.
38. Assessment of rainfall-induced shallow landslides in Phetchabun and Krabi provinces, Thailand K. Ono et al.
39. A prototype system for space–time assessment of rainfall-induced shallow landslides in Italy L. Montrasio et al.
40. Integrated debris flow hazard assessment in critical infrastructure zones: a case study of the 2022 Cubatão event, Serra do Mar, Brazil V. Veloso et al.
41. Modeling the geomorphologic susceptibility to debris flow initiation with geomorphometric parameters and fuzzy logic in the mountainous region of Serra do Mar (state of Paraná, Brazil) R. Silveira & C. Silveira
42. Mobility characteristics of debris slides and flows triggered by Hurricane Maria in Puerto Rico E. Bessette-Kirton et al.
43. Landslide and slope stability evaluation in the historical town of Kruja, Albania Y. Muceku & O. Korini
44. Insights into landslide susceptibility: a comparative evaluation of multi-criteria analysis and machine learning techniques Z. Ferreira et al.
45. Statistical-based shallow landslide susceptibility assessment for a tropical environment: a case study in the southeastern Brazilian coast H. Dias et al.
46. Comparison between different approaches to modeling shallow landslide susceptibility: a case history in Oltrepo Pavese, Northern Italy D. Zizioli et al.
47. Rainfall-Induced Landslide Susceptibility Assessment and the Establishment of Early Warning Techniques at Regional Scale C. Hsu
48. Mapping Landslide Prediction through a GIS-Based Model: A Case Study in a Catchment in Southern Italy F. Moresi et al.
49. Landslide susceptibility mapping in and around Mussoorie Township using fuzzy set procedure, MamLand and improved fuzzy expert system-A comparative study B. Peethambaran et al.
50. Coupled model for simulation of landslides and debris flows at local scale D. Park et al.
51. Improved Method of Defining Rainfall Intensity and Duration Thresholds for Shallow Landslides Based on TRIGRS S. Zhang et al.
52. Effect of Digital Elevation Model Resolution on Shallow Landslide Modeling Using TRIGRS T. Viet et al.
53. Assessing the Effectiveness of TRIGRS for Predicting Unstable Areas in a Tropical Mountain Basin (Colombian Andes) R. Marin et al.
54. The dynamics of debris-flow events in Southeast Brazil V. Cabral et al.
55. Assessment of a Dynamic Physically Based Slope Stability Model to Evaluate Timing and Distribution of Rainfall-Induced Shallow Landslides J. Thomas et al.
56. Precipitation data and their uncertainty as input for rainfall-induced shallow landslide models Y. Chen et al.
57. Landslide susceptibility assessment using GIS and the infinite slope model in Salvador, Brazil L. Silva et al.
58. Basinwide disaster loss assessments under extreme climate scenarios: a case study of the Kaoping River basin H. Li et al.