50 citations as recorded by crossref.

1. A spectral clustering search algorithm for predicting shallow landslide size and location D. Bellugi et al. https://doi.org/10.1002/2014JF003137
2. A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides using GIS Q. Nguyen et al. https://doi.org/10.3390/su9050813
3. 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. https://doi.org/10.1016/j.geomorph.2016.07.031
4. A prototype adaptive mesh generator for enhancing computational efficiency and accuracy in physically-based modeling of flood-landslide hazards G. Chen et al. https://doi.org/10.1016/j.envsoft.2025.106458
5. Evaluation of spatiotemporal effects of soil depth on shallow landslides and debris flows via coupled numerical analysis S. Lee et al. https://doi.org/10.1016/j.pdisas.2025.100470
6. Triggering of Rain-Induced Landslides, with Applications in Southern Italy A. D’Ippolito et al. https://doi.org/10.3390/w15020277
7. Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam D. Tien Bui et al. https://doi.org/10.1080/17538947.2016.1169561
8. A novel fuzzy K-nearest neighbor inference model with differential evolution for spatial prediction of rainfall-induced shallow landslides in a tropical hilly area using GIS D. Tien Bui et al. https://doi.org/10.1007/s10346-016-0708-4
9. Assessment of extreme subsurface hydrologic conditions captured during atmospheric river storms in the San Francisco Bay area (California, USA) with applications to shallow landslide early warning B. Collins et al. https://doi.org/10.1007/s10346-026-02788-9
10. Heterogeneity in flood risk awareness: A longitudinal, latent class model approach C. Franceschinis et al. https://doi.org/10.1016/j.jhydrol.2021.126255
11. Development of a coupled hydrological-geotechnical framework for rainfall-induced landslides prediction X. He et al. https://doi.org/10.1016/j.jhydrol.2016.10.016
12. 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. https://doi.org/10.1007/s11069-017-2773-y
13. MM3: Multimodal framework for regional-scale quantitative landslide risk analysis W. Pollock & J. Wartman https://doi.org/10.1016/j.mex.2025.103218
14. Soil depth estimation through soil-landscape modelling using regression kriging in a Himalayan terrain S. Sarkar et al. https://doi.org/10.1080/13658816.2013.814780
15. A methodological framework for hydromorphological assessment, analysis and monitoring (IDRAIM) aimed at promoting integrated river management M. Rinaldi et al. https://doi.org/10.1016/j.geomorph.2015.05.010
16. Predicting Large-Scale Landslide Initiation Based on the Local Field Factor of Safety: An Application to the Braies Catchment in Northern Italy R. Busti et al. https://doi.org/10.1061/JGGEFK.GTENG-13888
17. Estimating return period of landslide triggering by Monte Carlo simulation D. Peres & A. Cancelliere https://doi.org/10.1016/j.jhydrol.2016.03.036
18. A novel approach for selecting sampling points locations to river water quality monitoring in data-scarce regions H. Alilou et al. https://doi.org/10.1016/j.jhydrol.2019.03.068
19. Quantifying the three-dimensional effects of anisotropic soil horizons on hillslope hydrology and stability G. Formetta & G. Capparelli https://doi.org/10.1016/j.jhydrol.2018.12.064
20. Qualifying mass failures on loess gully sidewalls using laboratory experimentation X. Xu et al. https://doi.org/10.1016/j.catena.2019.104252
21. Optimisation and application of a high-resolution shallow landslide model at regional scale C. Schaller et al. https://doi.org/10.1007/s11069-025-07701-6
22. Derivation of critical rainfall thresholds for shallow landslides as a tool for debris flow early warning systems M. Papa et al. https://doi.org/10.5194/hess-17-4095-2013
23. Effects of Spatial Scales on Runoff / Sediment Transport in Mountain Catchments (3) -Review for the Treatments of Numerical Models Y. YOKOO et al. https://doi.org/10.3178/jjshwr.31.245
24. Comparison of different hydrological and stability assumptions for physically-based modeling of shallow landslides M. Durmaz et al. https://doi.org/10.1016/j.enggeo.2023.107237
25. Numerical Modeling of Flow Patterns Applied to Analysis of Susceptibility to Movements of the Ground M. Cando Jácome & A. Martínez-Graña https://doi.org/10.3390/geosciences8090340
26. Estimating the pollutant loss rate based on the concentration process and landscape unit interactions: a case study of the Dianchi Lake Basin, Yunnan Province, China M. Wang et al. https://doi.org/10.1007/s11356-022-19696-9
27. Predicting the thickness of shallow landslides in Switzerland using machine learning C. Schaller et al. https://doi.org/10.5194/nhess-25-467-2025
28. The influence of grid resolution on the prediction of natural and road-related shallow landslides D. Penna et al. https://doi.org/10.5194/hess-18-2127-2014
29. Toward improved prediction of the bedrock depth underneath hillslopes: Bayesian inference of the bottom‐up control hypothesis using high‐resolution topographic data G. Gomes et al. https://doi.org/10.1002/2015WR018147
30. Enhancing landslide susceptibility mapping through advanced hybridization of bootstrap aggregating based decision tree algorithms R. Moradmand et al. https://doi.org/10.1007/s12145-024-01496-z
31. Examining the role of class imbalance handling strategies in predicting earthquake-induced landslide-prone regions Q. Pham et al. https://doi.org/10.1016/j.asoc.2023.110429
32. The role of uncertainty in bedrock depth and hydraulic properties on the stability of a variably-saturated slope G. Gomes et al. https://doi.org/10.1016/j.compgeo.2017.03.016
33. Sensitivity analysis and calibration of a dynamic physically based slope stability model T. Zieher et al. https://doi.org/10.5194/nhess-17-971-2017
34. Exploring extreme rainfall-triggered landslides using 3D unsaturated flow, antecedent moisture and spatially distributed soil depth J. Marotti et al. https://doi.org/10.1016/j.catena.2023.107241
35. Debris flows analysis through quantitative evaluation of soil depth distribution under limited data S. Lee et al. https://doi.org/10.1016/j.catena.2024.108379
36. Site-specific to local-scale shallow landslides triggering zones assessment using TRIGRS M. Bordoni et al. https://doi.org/10.5194/nhess-15-1025-2015
37. Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy H. Hong et al. https://doi.org/10.1080/10106049.2015.1130086
38. iHydroSlide3D v1.0: an advanced hydrological–geotechnical model for hydrological simulation and three-dimensional landslide prediction G. Chen et al. https://doi.org/10.5194/gmd-16-2915-2023
39. SLEM (Shallow Landslide Express Model): A Simplified Geo-Hydrological Model for Powerlines Geo-Hazard Assessment A. Abbate & L. Mancusi https://doi.org/10.3390/w16111507
40. iCRESTRIGRS: a coupled modeling system for cascading flood–landslide disaster forecasting K. Zhang et al. https://doi.org/10.5194/hess-20-5035-2016
41. Coupled prediction of flood response and debris flow initiation during warm- and cold-season events in the Southern Appalachians, USA J. Tao & A. Barros https://doi.org/10.5194/hess-18-367-2014
42. Including root reinforcement variability in a probabilistic 3D stability model A. Cislaghi et al. https://doi.org/10.1002/esp.4127
43. Semiempirical modeling of the transient response of pore pressure to rainfall and snowmelt in a dormant landslide H. Osawa et al. https://doi.org/10.1007/s10346-023-02158-9
44. Soil thickness prediction models: Types, accuracy and influencing factors Q. Zhu et al. https://doi.org/10.1016/j.catena.2025.109282
45. A multidimensional stability model for predicting shallow landslide size and shape across landscapes D. Milledge et al. https://doi.org/10.1002/2014JF003135
46. Mapping of landslide susceptibility using the combination of neuro-fuzzy inference system (ANFIS), ant colony (ANFIS-ACOR), and differential evolution (ANFIS-DE) models S. Razavi-Termeh et al. https://doi.org/10.1007/s10064-020-02048-7
47. Assessment and validation of GIS-based landslide susceptibility maps: a case study from Feltrino stream basin (Central Italy) M. Sciarra et al. https://doi.org/10.1007/s10064-016-0954-7
48. The assessment of soil chemical, physical, and structural properties as landslide predisposing factors in the Serra do Mar mountain range (Caraguatatuba, Brazil) R. Cerri et al. https://doi.org/10.1007/s10064-020-01791-1
49. Landslide hydrology: from hydrology to pore pressure T. Bogaard & R. Greco https://doi.org/10.1002/wat2.1126
50. UAV-SfM 4D mapping of landslides activated in a steep terraced agricultural area L. Mauri et al. https://doi.org/10.4081/jae.2021.1130