72 citations as recorded by crossref.

1. Physically based shallow translational landslide susceptibility analysis in Tibo catchment, NW of Portugal M. Teixeira et al. https://doi.org/10.1007/s10346-014-0494-9
2. Landslide Susceptibility Assessment and Validation in the Framework of Municipal Planning in Portugal: The Case of Loures Municipality C. Guillard & J. Zezere https://doi.org/10.1007/s00267-012-9921-7
3. Landslide risk assessment by integrating hazards and vulnerability indices in Southeast Bangladesh N. Sultana et al. https://doi.org/10.1016/j.ijdrr.2024.104991
4. A new approach to assess ancient marine slope instability using a bivariate statistical method A. Piedade et al. https://doi.org/10.1016/j.margeo.2018.04.006
5. Assessment of physical vulnerability and potential losses of buildings due to shallow slides M. Silva & S. Pereira https://doi.org/10.1007/s11069-014-1052-4
6. Landslide susceptibility assessment by using a neuro-fuzzy model: a case study in the Rupestrian heritage rich area of Matera F. Sdao et al. https://doi.org/10.5194/nhess-13-395-2013
7. Mapping landslide susceptibility using data-driven methods J. Zêzere et al. https://doi.org/10.1016/j.scitotenv.2017.02.188
8. Spatial prediction of soil erosion susceptibility using a fuzzy analytical network process: Application of the fuzzy decision making trial and evaluation laboratory approach F. Sajedi‐Hosseini et al. https://doi.org/10.1002/ldr.3058
9. A comparative analysis of statistical landslide susceptibility mapping in the southeast region of Minas Gerais state, Brazil C. Barella et al. https://doi.org/10.1007/s10064-018-1341-3
10. Investigating the Effects of Landslides Inventory Completeness on Susceptibility Mapping and Frequency-Area Distributions: Case of Taounate Province, Northern Morocco R. Sahrane et al. https://doi.org/10.2139/ssrn.4144329
11. Application of environmental variables in statistically-based landslide susceptibility mapping: A review X. Zhao et al. https://doi.org/10.3389/feart.2023.1147427
12. Landslide hazard assessment: recent trends and techniques S. Pardeshi et al. https://doi.org/10.1186/2193-1801-2-523
13. Landslide susceptibility assessment by mapping and diachronic analysis: Case of Bushwira (Democratic Republic of Congo) M. Bertille Ilalie et al. https://doi.org/10.1016/j.qsa.2023.100078
14. The impact of spatial heterogeneity zoning and feature factor optimization on geological hazard susceptibility assessment: a case study of Qingyuan County, Liaoning Province Z. Zhao et al. https://doi.org/10.1080/19475705.2025.2586179
15. A Tool for Classification and Regression Using Random Forest Methodology: Applications to Landslide Susceptibility Mapping and Soil Thickness Modeling D. Lagomarsino et al. https://doi.org/10.1007/s10666-016-9538-y
16. Multifactor empirical mapping of the protective function of forests against landslide occurrence: statistical approaches and a case study D. Cimini et al. https://doi.org/10.3832/ifor1740-008
17. Viñedos en terrazas en la región vitivinícola del Duero, Portugal: una perspectiva de la gestión del suelo y el agua T. De Figueiredo et al. https://doi.org/10.3989/pirineos.2020.175008
18. The influence of the inventory on the determination of the rainfall-induced shallow landslides susceptibility using generalized additive models M. Bordoni et al. https://doi.org/10.1016/j.catena.2020.104630
19. Effect of Rockfall Spatial Representation on the Accuracy and Reliability of Susceptibility Models (The Case of the Haouz Dorsale Calcaire, Morocco) Y. El Miloudi et al. https://doi.org/10.3390/land13020176
20. Spatiotemporal assessment of landslide risk over large areas: a case study of the Valencian Community (1950–2021) I. Cantarino Martí et al. https://doi.org/10.5194/nhess-26-2505-2026
21. Landslide incidence in the North of Portugal: Analysis of a historical landslide database based on press releases and technical reports S. Pereira et al. https://doi.org/10.1016/j.geomorph.2014.02.032
22. Mapping socio-spatial segregation in the city of Marília/SP (Brazil) A. Araujo & A. Queiroz Filho https://doi.org/10.26848/rbgf.v11.2.p431-441
23. Assessing the spatial probability of landslides using GIS and informative value model in the Bamenda highlands R. Afungang et al. https://doi.org/10.1007/s12517-017-3155-1
24. Assessing the Reliability of Landslides Susceptibility Models with Limited Data: Impact of Geomorphological Diversity and Technique Selection on Model Performance in Taounate Province, Northern Morocco R. Sahrane et al. https://doi.org/10.1007/s41748-024-00455-4
25. Optimal statistical method selection for landslide susceptibility assessment and its scale effect Y. Yang et al. https://doi.org/10.3389/feart.2024.1464775
26. Regional-scale spatiotemporal landslide probability assessment through machine learning and potential applications for operational warning systems: a case study in Kvam (Norway) N. Nocentini et al. https://doi.org/10.1007/s10346-024-02287-9
27. A comparison between bivariate and multivariate methods to assess susceptibility to liquefaction-related coseismic surface effects in the Po Plain (Northern Italy) C. Lanfredi Sofia et al. https://doi.org/10.1080/19475705.2017.1411401
28. A GIS-based approach for gully erosion susceptibility modelling using bivariate statistics methods in the Ourika watershed, Morocco M. Meliho et al. https://doi.org/10.1007/s12665-018-7844-1
29. Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario S. Pereira et al. https://doi.org/10.1080/19475705.2016.1250116
30. Effects of vineyard soil management on the characteristics of soils and roots in the lower Oltrepò Apennines (Lombardy, Italy) M. Bordoni et al. https://doi.org/10.1016/j.scitotenv.2019.07.196
31. Debris flow susceptibility mapping using the Rock Engineering System (RES) method: a case study D. Vianello et al. https://doi.org/10.1007/s10346-022-01985-6
32. The influence of study area selection and landslide inventory practices on landslides spatial distribution: an example from Northern Morocco A. Bounab et al. https://doi.org/10.1038/s41598-026-36587-y
33. Investigating the effects of landscape characteristics on landslide susceptibility and frequency-area distributions: the case of Taounate province, Northern Morocco R. Sahrane et al. https://doi.org/10.1080/10106049.2022.2134462
34. The influence of cartographic representation on landslide susceptibility models: empirical evidence from a Brazilian UNESCO world heritage site J. Araujo Junior et al. https://doi.org/10.1007/s11069-024-06576-3
35. Risk assessment of landslide and rockfall hazards in hilly region of southwestern China: a case study of Qijiang, Wuxi and Chishui P. Ye et al. https://doi.org/10.1007/s12665-024-11698-9
36. A novel hybrid model integrating high resolution remote sensing and stacking ensemble techniques for landslide susceptibility mapping: Application to event-based landslide inventory Z. Guo et al. https://doi.org/10.1016/j.geomorph.2025.109886
37. Assessing population exposure for landslide risk analysis using dasymetric cartography R. Garcia et al. https://doi.org/10.5194/nhess-16-2769-2016
38. The importance of investigating causative factors and training data selection for accurate landslide susceptibility assessment: the case of Ain Lahcen commune (Tetouan, Northern Morocco) A. Bounab et al. https://doi.org/10.1080/10106049.2022.2028905
39. Landslide susceptibility mapping using GIS Matrix Method and Frequency Ratio, application in the marly context of Moulay Yacoub Region, Morocco I. Obda et al. https://doi.org/10.1051/bsgf/2023016
40. A novel dynamic rockfall susceptibility model including precipitation, temperature and snowmelt predictors: a case study in Aosta Valley (northern Italy) G. Bajni et al. https://doi.org/10.1007/s10346-023-02091-x
41. Landslide Susceptibility Mapping Based on Selected Optimal Combination of Landslide Predisposing Factors in a Large Catchment Q. Wang et al. https://doi.org/10.3390/su71215839
42. Multi-scale analysis of the susceptibility of different landslide types and identification of the main controlling factors Y. Yang et al. https://doi.org/10.1016/j.ecolind.2024.112797
43. Investigating the effects of landslides inventory completeness on susceptibility mapping and frequency-area distributions: Case of Taounate province, Northern Morocco R. Sahrane et al. https://doi.org/10.1016/j.catena.2022.106737
44. Landslide susceptibility analysis of photovoltaic power stations in Gangwon-do, Republic of Korea H. Kim & C. Park https://doi.org/10.1080/19475705.2021.1950219
45. Landslide susceptibility assessment framework in the central Rif chain, Northern Morocco O. Obda et al. https://doi.org/10.1007/s42990-025-00216-z
46. Mapping of Water-Induced Soil Erosion Using Machine Learning Models: A Case Study of Oum Er Rbia Basin (Morocco) A. Barakat et al. https://doi.org/10.1007/s41748-022-00317-x
47. Landslide Hazard Assessment Based on Ensemble Learning Model and Bayesian Probability Statistics: Inference from Shaanxi Province, China S. Shen et al. https://doi.org/10.3390/su17051973
48. Statistically-based regional landslide susceptibility assessment in the UNESCO global geopark Caminhos dos Cânions do Sul (Brazil) M. Sugiyama et al. https://doi.org/10.1007/s11069-025-07478-8
49. Exploiting the land use to predict shallow landslide susceptibility: A probabilistic implementation of LAPSUS-LS A. Giarola et al. https://doi.org/10.1016/j.catena.2024.108437
50. Landslide susceptibility modeling assisted by Persistent Scatterers Interferometry (PSI): an example from the northwestern coast of Malta D. Piacentini et al. https://doi.org/10.1007/s11069-015-1740-8
51. When Land Use/Land Cover Misleads: Limitations in Data-Driven Flood and Landslide Susceptibility Assessment S. Fardin et al. https://doi.org/10.3390/geohazards7030094
52. Sensitivity Analysis of the Soil Criterion in Forest Road Planning C. Américo & R. Valente https://doi.org/10.24857/rgsa.v19n9-068
53. Rainfall characteristics for anisotropic conductivity of unsaturated soil slopes H. Yeh et al. https://doi.org/10.1007/s12665-015-4032-4
54. Shallow landslides susceptibility assessment in different environments M. Persichillo et al. https://doi.org/10.1080/19475705.2016.1265011
55. Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China H. Shu et al. https://doi.org/10.3390/rs13183623
56. PSLSA v2.0: An automatic Python package integrating machine learning models for regional landslide susceptibility assessment Z. Guo et al. https://doi.org/10.1016/j.envsoft.2025.106367
57. Impact of landslides on transportation routes during the 2016–2017 Central Italy seismic sequence S. Martino et al. https://doi.org/10.1007/s10346-019-01162-2
58. Understanding complex slope deformation through tree-ring analyses K. Šilhán et al. https://doi.org/10.1016/j.scitotenv.2019.02.195
59. Coupled model for simulation of landslides and debris flows at local scale D. Park et al. https://doi.org/10.1007/s11069-016-2150-2
60. Soil reinforcement provided by the root system of grapevines: Quantification and spatial variability A. Cislaghi et al. https://doi.org/10.1016/j.ecoleng.2017.04.034
61. The susceptibility analysis of landslide using bivariate and multivariate modeling techniques in western Algeria: case of Fergoug watershed (Beni-Chougrane Mountains) Z. Mansour et al. https://doi.org/10.1007/s12517-021-07919-1
62. Development of a data-driven model for spatial and temporal shallow landslide probability of occurrence at catchment scale M. Bordoni et al. https://doi.org/10.1007/s10346-020-01592-3
63. Large-Scale Landslide Susceptibility Mapping Using an Integrated Machine Learning Model: A Case Study in the Lvliang Mountains of China Y. Xing et al. https://doi.org/10.3389/feart.2021.722491
64. A review on spatial, temporal and magnitude prediction of landslide hazard A. Tyagi et al. https://doi.org/10.1016/j.jaesx.2022.100099
65. Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues F. Catani et al. https://doi.org/10.5194/nhess-13-2815-2013
66. A Fuzzy Comprehensive Evaluation Method Based on AHP and Entropy for a Landslide Susceptibility Map H. Zhao et al. https://doi.org/10.3390/e19080396
67. Improving the reliability of landslide susceptibility mapping through spatial uncertainty analysis: a case study of Al Hoceima, Northern Morocco H. Rahali https://doi.org/10.1080/10106049.2017.1357767
68. Landslides Susceptibility Analysis in Blumenau, Southern Brazil: a Probabilistic Approach M. POZZOBON et al. https://doi.org/10.13101/ijece.11.63
69. Implications of Landslide Typology and Predisposing Factor Combinations for Probabilistic Landslide Susceptibility Models: A Case Study in Lajedo Parish (Flores Island, Azores—Portugal) R. Silva et al. https://doi.org/10.3390/geosciences8050153
70. Landslide susceptibility mapping in the Loess Plateau of northwest China using three data-driven techniques-a case study from middle Yellow River catchment Z. Guo et al. https://doi.org/10.3389/feart.2022.1033085
71. Rule-based fuzzy inference system for landslide susceptibility mapping along national highway 7 in Garhwal Himalayas, India S. Badola et al. https://doi.org/10.1016/j.qsa.2023.100093
72. Integrating principal component analysis with statistically-based models for analysis of causal factors and landslide susceptibility mapping: A comparative study from the loess plateau area in Shanxi (China) Y. Tang et al. https://doi.org/10.1016/j.jclepro.2020.124159