63 citations as recorded by crossref.

1. Sustainability Nexus AID: landslides and land subsidence M. Motagh et al. 10.1007/s00550-024-00549-7
2. 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. 10.5194/nhess-24-1579-2024
3. A GIS-based probabilistic analysis model for rainfall-induced shallow landslides in mountainous areas C. Li et al. 10.1007/s12665-022-10562-y
4. An Improved Method for the Evaluation and Local Multi-Scale Optimization of the Automatic Extraction of Slope Units in Complex Terrains Z. Yang et al. 10.3390/rs14143444
5. 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
6. Inclusion of Nature-Based Solution in the Evaluation of Slope Stability in Large Areas L. Zedek et al. 10.3390/land13030372
7. LAND-SUITE V1.0: a suite of tools for statistically based landslide susceptibility zonation M. Rossi et al. 10.5194/gmd-15-5651-2022
8. Triggering of Rain-Induced Landslides, with Applications in Southern Italy A. D’Ippolito et al. 10.3390/w15020277
9. 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
10. Development of a coupled hydrological-geotechnical framework for rainfall-induced landslides prediction X. He et al. 10.1016/j.jhydrol.2016.10.016
11. A Sequentially Coupled Catchment‐Scale Numerical Model for Snowmelt‐Induced Soil Slope Instabilities S. Siva Subramanian et al. 10.1029/2019JF005468
12. Estimates of three-dimensional rupture surface geometry of deep-seated landslides using landslide inventories and high-resolution topographic data M. Bunn et al. 10.1016/j.geomorph.2020.107332
13. Effects of soil heterogeneity on susceptibility of shallow landslides E. Oguz et al. 10.1007/s10346-021-01738-x
14. An open-source and QGIS-integrated physically based model for Spatial Prediction of Rainfall-Induced Shallow Landslides (SPRIn-SL) L. Raimondi et al. 10.1016/j.envsoft.2022.105587
15. Analysis of Rainfall-Induced Landslide on Unsaturated Soil Slopes S. Jeong et al. 10.3390/su9071280
16. r.randomwalk v1, a multi-functional conceptual tool for mass movement routing M. Mergili et al. 10.5194/gmd-8-4027-2015
17. Efficient and automatic extraction of slope units based on multi-scale segmentation method for landslide assessments F. Huang et al. 10.1007/s10346-021-01756-9
18. Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
19. A GIS-physically-based emergency methodology for predicting rainfall-induced shallow landslide zonation A. Gutiérrez-Martín 10.1016/j.geomorph.2020.107121
20. Landslide susceptibility mapping with r.landslide: A free open-source GIS-integrated tool based on Artificial Neural Networks L. Bragagnolo et al. 10.1016/j.envsoft.2019.104565
21. Landslide Susceptibility Assessment Using the Scoops3D Model in a Tropical Mountainous Terrain R. Marín & R. Jaramillo-González 10.17230/ingciencia.17.33.4
22. A spaceborne SAR-based procedure to support the detection of landslides G. Esposito et al. 10.5194/nhess-20-2379-2020
23. Effects of plant roots on soil shear strength and shallow landslide proneness in an area of northern Italian Apennines M. Bordoni et al. 10.1007/s10064-020-01783-1
24. Automatic Extraction for Land Parcels Based on Multi-Scale Segmentation F. Liu et al. 10.3390/land13020158
25. A computationally efficient system for assessing near-real-time instability of regional unsaturated soil slopes under rainfall L. Li et al. 10.1007/s10346-019-01307-3
26. Physically-based catchment-scale prediction of slope failure volume and geometry B. Van den Bout et al. 10.1016/j.enggeo.2020.105942
27. Integration of two-phase solid fluid equations in a catchment model for flashfloods, debris flows and shallow slope failures B. Bout et al. 10.1016/j.envsoft.2018.03.017
28. Implications of climate change on landslide hazard in Central Italy M. Alvioli et al. 10.1016/j.scitotenv.2018.02.315
29. 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
30. iHydroSlide3D v1.0: an advanced hydrological–geotechnical model for hydrological simulation and three-dimensional landslide prediction G. Chen et al. 10.5194/gmd-16-2915-2023
31. A review of statistically-based landslide susceptibility models P. Reichenbach et al. 10.1016/j.earscirev.2018.03.001
32. Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. 10.5194/nhess-18-2183-2018
33. Geographic-information-system-based topographic reconstruction and geomechanical modelling of the Köfels rockslide C. Zangerl et al. 10.5194/nhess-21-2461-2021
34. Including root reinforcement variability in a probabilistic 3D stability model A. Cislaghi et al. 10.1002/esp.4127
35. PHyL v1.0: A parallel, flexible, and advanced software for hydrological and slope stability modeling at a regional scale G. Chen et al. 10.1016/j.envsoft.2023.105882
36. Characterization and quantification of path dependency in landslide susceptibility J. Samia et al. 10.1016/j.geomorph.2017.04.039
37. Shallow Landslides Physically Based Susceptibility Assessment Improvement Using InSAR. Case Study: Carpathian and Subcarpathian Prahova Valley, Romania I. Armaș et al. 10.3390/rs13122385
38. INSPIRE standards as a framework for artificial intelligence applications: a landslide example G. Roberti et al. 10.5194/nhess-20-3455-2020
39. Extreme precipitation induced concurrent events trigger prolonged disruptions in regional road networks R. Dave et al. 10.1088/1748-9326/ac2d67
40. r.survey: a tool for calculating visibility of variable-size objects based on orientation T. Bornaetxea & I. Marchesini 10.1080/13658816.2021.1942476
41. Does parameterization influence the performance of slope stability model results? A case study in Rio de Janeiro, Brazil C. de Lima Neves Seefelder et al. 10.1007/s10346-016-0783-6
42. Comparison of different hydrological and stability assumptions for physically-based modeling of shallow landslides M. Durmaz et al. 10.1016/j.enggeo.2023.107237
43. Forecasting natural hazards, performance of scientists, ethics, and the need for transparency F. Guzzetti 10.1080/02772248.2015.1030664
44. National-scale assessment of railways exposure to rapid flow-like landslides I. Marchesini et al. 10.1016/j.enggeo.2024.107474
45. r.avaflow v1, an advanced open-source computational framework for the propagation and interaction of two-phase mass flows M. Mergili et al. 10.5194/gmd-10-553-2017
46. 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
47. A new digital lithological map of Italy at the 1:100 000 scale for geomechanical modelling F. Bucci et al. 10.5194/essd-14-4129-2022
48. Site-specific to local-scale shallow landslides triggering zones assessment using TRIGRS M. Bordoni et al. 10.5194/nhess-15-1025-2015
49. Physically based modeling of co-seismic landslide, debris flow, and flood cascade B. van den Bout et al. 10.5194/nhess-22-3183-2022
50. Advancements in Technologies and Methodologies of Machine Learning in Landslide Susceptibility Research: Current Trends and Future Directions Z. Lu et al. 10.3390/app14219639
51. Mapping release and propagation areas of permafrost-related rock slope failures in the French Alps: A new methodological approach at regional scale M. Cathala et al. 10.1016/j.geomorph.2023.109032
52. Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models Z. Chang et al. 10.1016/j.gr.2023.02.007
53. Probabilistic landslide susceptibility analysis in tropical mountainous terrain using the physically based r.slope.stability model J. Palacio Cordoba et al. 10.5194/nhess-20-815-2020
54. 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
55. INTERCOMPARISON OF LANDSLIDE OCCURRENCE AND BEHAVIOR ANALYSIS METHODS FOR TSUNAMI EVALUATION M. KOBA et al. 10.2208/jscejj.23-17029
56. Integration of root systems into a GIS-based slip surface model: computational experiments in a generic hillslope environment E. Schmaltz & M. Mergili 10.1007/s10346-018-0970-8
57. Combining release and runout in statistical landslide susceptibility modeling M. Mergili et al. 10.1007/s10346-019-01222-7
58. 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
59. Assessing the influence of morpho-structural setting on landslide abundance I. Marchesini et al. 10.1080/17499518.2015.1058956
60. A New Approach Based on Balancing Composite Motion Optimization and Deep Neural Networks for Spatial Prediction of Landslides at Tropical Cyclone Areas T. Tuan et al. 10.1109/ACCESS.2023.3291411
61. 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
62. 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
63. 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