72 citations as recorded by crossref.

1. Modeling impacts of climate change on return period of landslide triggering D. Peres & A. Cancelliere 10.1016/j.jhydrol.2018.10.036
2. Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
3. EDDA 2.0: integrated simulation of debris flow initiation and dynamics considering two initiation mechanisms P. Shen et al. 10.5194/gmd-11-2841-2018
4. A probabilistic multidimensional approach to quantify large wood recruitment from hillslopes in mountainous-forested catchments A. Cislaghi et al. 10.1016/j.geomorph.2018.01.009
5. Development of a coupled hydrological-geotechnical framework for rainfall-induced landslides prediction X. He et al. 10.1016/j.jhydrol.2016.10.016
6. Rainfall-induced landslides assessment in the Fengjie County, Three-Gorge reservoir area, China K. Wang & S. Zhang 10.1007/s11069-021-04691-z
7. GIS-Based Data Integration Approach for Rainfall-Induced Slope Failure Susceptibility Mapping in Clayey Soils A. Baral et al. 10.1061/(ASCE)NH.1527-6996.0000478
8. Preparing first-time slope failures hazard maps: from pixel-based to slope unit-based G. Domènech et al. 10.1007/s10346-019-01279-4
9. The Effect of Bedrock Topography on Timing and Location of Landslide Initiation Using the Local Factor of Safety Concept S. Moradi et al. 10.3390/w10101290
10. Physically-based landslide susceptibility analysis using Monte Carlo simulation in a tropical mountain basin R. Marin & Á. Mattos 10.1080/17499518.2019.1633582
11. Incorporating the Effects of Complex Soil Layering and Thickness Local Variability into Distributed Landslide Susceptibility Assessments F. Fusco et al. 10.3390/w13050713
12. EDDA 1.0: integrated simulation of debris flow erosion, deposition and property changes H. Chen & L. Zhang 10.5194/gmd-8-829-2015
13. Simulation of Debris-Flow Runout Near a Construction Site in Korea B. Chae et al. 10.3390/app10176079
14. Data-Driven Landslide Nowcasting at the Global Scale T. Stanley et al. 10.3389/feart.2021.640043
15. Prediction of shallow landslide occurrence: Validation of a physically-based approach through a real case study L. Schilirò et al. 10.1016/j.scitotenv.2016.06.124
16. A hydroclimatological approach to predicting regional landslide probability using Landlab R. Strauch et al. 10.5194/esurf-6-49-2018
17. Analysis of Slope Failure Behaviour Based on Real-Time Measurement Using the X–MR Method . Park et al. 10.3390/jmse7100360
18. 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
19. Regional-scale back-analysis using TRIGRS: an approach to advance landslide hazard modeling and prediction in sparse data regions L. Weidner et al. 10.1007/s10346-018-1044-7
20. Physically based approach for rainfall-induced landslide projections in a changing climate D. Salciarini et al. 10.1680/jgeen.18.00216
21. Space-time landslide predictive modelling L. Lombardo et al. 10.1016/j.earscirev.2020.103318
22. Regional susceptibility assessments with heterogeneous landslide information: Slope unit- vs. pixel-based approach L. Jacobs et al. 10.1016/j.geomorph.2020.107084
23. Reliability of water content estimation by profile probe and its effect on slope stability L. Di Matteo et al. 10.1007/s10346-017-0895-7
24. GIS-based modeling of snowmelt-induced landslide susceptibility of sensitive marine clays M. Al-Umar et al. 10.1186/s40677-020-0142-8
25. Assessment of rainfall-induced landslide susceptibility at the regional scale using a physically based model and fuzzy-based Monte Carlo simulation H. Park et al. 10.1007/s10346-018-01125-z
26. Effect of the inclined weak interlayers on the rainfall response of a bedded rock slope L. Li & N. Ju 10.1007/s11629-015-3594-7
27. A Case-Study of Sustainable Countermeasures against Shallow Landslides in Central Italy D. Salciarini et al. 10.3390/geosciences10040130
28. Derivation and evaluation of landslide-triggering thresholds by a Monte Carlo approach D. Peres & A. Cancelliere 10.5194/hess-18-4913-2014
29. Sensitivity analysis and calibration of a dynamic physically based slope stability model T. Zieher et al. 10.5194/nhess-17-971-2017
30. Implications of climate change on landslide hazard in Central Italy M. Alvioli et al. 10.1016/j.scitotenv.2018.02.315
31. Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China) H. Hong et al. 10.1080/19475705.2016.1250112
32. Application of a process-based shallow landslide hazard model over a broad area in Central Italy E. Gioia et al. 10.1007/s10346-015-0670-6
33. An overview of current applications, challenges, and future trends in distributed process-based models in hydrology S. Fatichi et al. 10.1016/j.jhydrol.2016.03.026
34. Exploring Influence of Sampling Strategies on Event-Based Landslide Susceptibility Modeling . Lai et al. 10.3390/ijgi8090397
35. Forecasting natural hazards, performance of scientists, ethics, and the need for transparency F. Guzzetti 10.1080/02772248.2015.1030664
36. Investigating the role of stratigraphy in large-area physically-based analysis of December 1999 Cervinara shallow landslides S. Cuomo & A. Iervolino 10.1007/s11629-014-3261-4
37. Development of time-variant landslide-prediction software considering three-dimensional subsurface unsaturated flow H. An et al. 10.1016/j.envsoft.2016.08.009
38. Three-dimensional, time-dependent modeling of rainfall-induced landslides over a digital landscape: a case study T. Tran et al. 10.1007/s10346-017-0931-7
39. Geotechnical and hydrological characterization of hillslope deposits for regional landslide prediction modeling G. Bicocchi et al. 10.1007/s10064-018-01449-z
40. Temporal prediction modeling for rainfall-induced shallow landslide hazards using extreme value distribution J. Lee et al. 10.1007/s10346-020-01502-7
41. Early warning model for slope debris flow initiation M. Li et al. 10.1007/s11629-017-4779-z
42. Effect of Digital Elevation Model Resolution on Shallow Landslide Modeling Using TRIGRS T. Viet et al. 10.1061/(ASCE)NH.1527-6996.0000233
43. Preliminary studies on the dynamic prediction method of rainfall-triggered landslide Y. Chen et al. 10.1007/s11629-014-3110-5
44. Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. 10.5194/nhess-18-2183-2018
45. Spatially distributed rainfall information and its potential for regional landslide early warning systems E. Canli et al. 10.1007/s11069-017-2953-9
46. Site-specific to local-scale shallow landslides triggering zones assessment using TRIGRS M. Bordoni et al. 10.5194/nhess-15-1025-2015
47. Effect of Rainfall Patterns on the Response of Water Pressure and Slope Stability Within a Small Catchment: A Case Study in Jinbu-Myeon, South Korea T. Viet et al. 10.14481/jkges.2016.17.12.5
48. Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface M. Alvioli & R. Baum 10.1016/j.envsoft.2016.04.002
49. Landslide prediction, monitoring and early warning: a concise review of state-of-the-art B. Chae et al. 10.1007/s12303-017-0034-4
50. A strategy for GIS-based 3-D slope stability modelling over large areas M. Mergili et al. 10.5194/gmd-7-2969-2014
51. A probabilistic model for rainfall—induced shallow landslide prediction at the regional scale D. Salciarini et al. 10.1007/s10346-017-0812-0
52. Improving Spatial Landslide Prediction with 3D Slope Stability Analysis and Genetic Algorithm Optimization: Application to the Oltrepò Pavese N. Palazzolo et al. 10.3390/w13060801
53. A GIS-physically-based emergency methodology for predicting rainfall-induced shallow landslide zonation A. Gutiérrez-Martín 10.1016/j.geomorph.2020.107121
54. A hybrid framework integrating physical model and convolutional neural network for regional landslide susceptibility mapping X. Wei et al. 10.1007/s11069-021-04844-0
55. iCRESTRIGRS: a coupled modeling system for cascading flood–landslide disaster forecasting K. Zhang et al. 10.5194/hess-20-5035-2016
56. Models and influencing factors of the delay phenomenon for rainfall on slope stability J. Zhang et al. 10.1080/19648189.2016.1179682
57. A physics-based probabilistic forecasting model for rainfall-induced shallow landslides at regional scale S. Zhang et al. 10.5194/nhess-18-969-2018
58. Evaluación del riesgo de deslizamientos superficiales para proyectos de infraestructura: caso de análisis en vereda El Cabuyal R. Marín et al. 10.17230/ingciencia.14.27.7
59. Prediction of spatiotemporal stability and rainfall threshold of shallow landslides using the TRIGRS and Scoops3D models J. He et al. 10.1016/j.catena.2020.104999
60. A Sequentially Coupled Catchment‐Scale Numerical Model for Snowmelt‐Induced Soil Slope Instabilities S. Siva Subramanian et al. 10.1029/2019JF005468
61. Physically Based Susceptibility Assessment of Rainfall-Induced Shallow Landslides Using a Fuzzy Point Estimate Method H. Park et al. 10.3390/rs9050487
62. Development and validation of the terrain stability model for assessing landslide instability during heavy rain infiltration A. Gutiérrez-Martín et al. 10.5194/nhess-19-721-2019
63. 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
64. Precipitation data and their uncertainty as input for rainfall-induced shallow landslide models Y. Chen et al. 10.1007/s11707-019-0791-7
65. ALICE (Assessment of Landslides Induced by Climatic Events): A single tool to integrate shallow and deep landslides for susceptibility and hazard assessment R. Vandromme et al. 10.1016/j.geomorph.2020.107307
66. Effects of soil depth and subsurface flow along the subsurface topography on shallow landslide predictions at the site of a small granitic hillslope M. Kim et al. 10.1016/j.geomorph.2016.07.031
67. Improving the reliability of landslide susceptibility mapping through spatial uncertainty analysis: a case study of Al Hoceima, Northern Morocco H. Rahali 10.1080/10106049.2017.1357767
68. Landslide and debris flow susceptibility zonation using TRIGRS for the 2011 Seoul landslide event D. Park et al. 10.5194/nhess-13-2833-2013
69. A Novel Hybrid Method for Landslide Susceptibility Mapping-Based GeoDetector and Machine Learning Cluster: A Case of Xiaojin County, China W. Xie et al. 10.3390/ijgi10020093
70. Scaling properties of rainfall induced landslides predicted by a physically based model M. Alvioli et al. 10.1016/j.geomorph.2013.12.039
71. Comparing the performance of TRIGRS and TiVaSS in spatial and temporal prediction of rainfall-induced shallow landslides T. Tran et al. 10.1007/s12665-017-6635-4
72. A comparison of statistical and deterministic methods for shallow landslide susceptibility zoning in clayey soils M. Ciurleo et al. 10.1016/j.enggeo.2017.04.023