64 citations as recorded by crossref.

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9. A comparative analysis of statistical landslide susceptibility mapping in the southeast region of Minas Gerais state, Brazil C. Barella et al. 10.1007/s10064-018-1341-3
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15. Multifactor empirical mapping of the protective function of forests against landslide occurrence: statistical approaches and a case study D. Cimini et al. 10.3832/ifor1740-008
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19. Landslide incidence in the North of Portugal: Analysis of a historical landslide database based on press releases and technical reports S. Pereira et al. 10.1016/j.geomorph.2014.02.032
20. Mapping socio-spatial segregation in the city of Marília/SP (Brazil) A. Araujo & A. Queiroz Filho 10.26848/rbgf.v11.2.p431-441
21. Assessing the spatial probability of landslides using GIS and informative value model in the Bamenda highlands R. Afungang et al. 10.1007/s12517-017-3155-1
22. 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. 10.1007/s41748-024-00455-4
23. Optimal statistical method selection for landslide susceptibility assessment and its scale effect Y. Yang et al. 10.3389/feart.2024.1464775
24. 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. 10.1007/s10346-024-02287-9
25. 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. 10.1080/19475705.2017.1411401
26. A GIS-based approach for gully erosion susceptibility modelling using bivariate statistics methods in the Ourika watershed, Morocco M. Meliho et al. 10.1007/s12665-018-7844-1
27. Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario S. Pereira et al. 10.1080/19475705.2016.1250116
28. Effects of vineyard soil management on the characteristics of soils and roots in the lower Oltrepò Apennines (Lombardy, Italy) M. Bordoni et al. 10.1016/j.scitotenv.2019.07.196
29. Debris flow susceptibility mapping using the Rock Engineering System (RES) method: a case study D. Vianello et al. 10.1007/s10346-022-01985-6
30. Investigating the effects of landscape characteristics on landslide susceptibility and frequency-area distributions: the case of Taounate province, Northern Morocco R. Sahrane et al. 10.1080/10106049.2022.2134462
31. The influence of cartographic representation on landslide susceptibility models: empirical evidence from a Brazilian UNESCO world heritage site J. Araujo Junior et al. 10.1007/s11069-024-06576-3
32. 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. 10.1007/s12665-024-11698-9
33. Assessing population exposure for landslide risk analysis using dasymetric cartography R. Garcia et al. 10.5194/nhess-16-2769-2016
34. 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. 10.1080/10106049.2022.2028905
35. Landslide susceptibility mapping using GIS Matrix Method and Frequency Ratio, application in the marly context of Moulay Yacoub Region, Morocco I. Obda et al. 10.1051/bsgf/2023016
36. A novel dynamic rockfall susceptibility model including precipitation, temperature and snowmelt predictors: a case study in Aosta Valley (northern Italy) G. Bajni et al. 10.1007/s10346-023-02091-x
37. Landslide Susceptibility Mapping Based on Selected Optimal Combination of Landslide Predisposing Factors in a Large Catchment Q. Wang et al. 10.3390/su71215839
38. Multi-scale analysis of the susceptibility of different landslide types and identification of the main controlling factors Y. Yang et al. 10.1016/j.ecolind.2024.112797
39. Investigating the effects of landslides inventory completeness on susceptibility mapping and frequency-area distributions: Case of Taounate province, Northern Morocco R. Sahrane et al. 10.1016/j.catena.2022.106737
40. Landslide susceptibility analysis of photovoltaic power stations in Gangwon-do, Republic of Korea H. Kim & C. Park 10.1080/19475705.2021.1950219
41. Mapping of Water-Induced Soil Erosion Using Machine Learning Models: A Case Study of Oum Er Rbia Basin (Morocco) A. Barakat et al. 10.1007/s41748-022-00317-x
42. Landslide Hazard Assessment Based on Ensemble Learning Model and Bayesian Probability Statistics: Inference from Shaanxi Province, China S. Shen et al. 10.3390/su17051973
43. Exploiting the land use to predict shallow landslide susceptibility: A probabilistic implementation of LAPSUS-LS A. Giarola et al. 10.1016/j.catena.2024.108437
44. Landslide susceptibility modeling assisted by Persistent Scatterers Interferometry (PSI): an example from the northwestern coast of Malta D. Piacentini et al. 10.1007/s11069-015-1740-8
45. Rainfall characteristics for anisotropic conductivity of unsaturated soil slopes H. Yeh et al. 10.1007/s12665-015-4032-4
46. Shallow landslides susceptibility assessment in different environments M. Persichillo et al. 10.1080/19475705.2016.1265011
47. 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. 10.3390/rs13183623
48. PSLSA v2.0: An automatic Python package integrating machine learning models for regional landslide susceptibility assessment Z. Guo et al. 10.1016/j.envsoft.2025.106367
49. Impact of landslides on transportation routes during the 2016–2017 Central Italy seismic sequence S. Martino et al. 10.1007/s10346-019-01162-2
50. Understanding complex slope deformation through tree-ring analyses K. Šilhán et al. 10.1016/j.scitotenv.2019.02.195
51. Coupled model for simulation of landslides and debris flows at local scale D. Park et al. 10.1007/s11069-016-2150-2
52. Soil reinforcement provided by the root system of grapevines: Quantification and spatial variability A. Cislaghi et al. 10.1016/j.ecoleng.2017.04.034
53. 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. 10.1007/s12517-021-07919-1
54. Development of a data-driven model for spatial and temporal shallow landslide probability of occurrence at catchment scale M. Bordoni et al. 10.1007/s10346-020-01592-3
55. Large-Scale Landslide Susceptibility Mapping Using an Integrated Machine Learning Model: A Case Study in the Lvliang Mountains of China Y. Xing et al. 10.3389/feart.2021.722491
56. A review on spatial, temporal and magnitude prediction of landslide hazard A. Tyagi et al. 10.1016/j.jaesx.2022.100099
57. Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues F. Catani et al. 10.5194/nhess-13-2815-2013
58. A Fuzzy Comprehensive Evaluation Method Based on AHP and Entropy for a Landslide Susceptibility Map H. Zhao et al. 10.3390/e19080396
59. 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
60. Landslides Susceptibility Analysis in Blumenau, Southern Brazil: a Probabilistic Approach M. POZZOBON et al. 10.13101/ijece.11.63
61. 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. 10.3390/geosciences8050153
62. 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. 10.3389/feart.2022.1033085
63. Rule-based fuzzy inference system for landslide susceptibility mapping along national highway 7 in Garhwal Himalayas, India S. Badola et al. 10.1016/j.qsa.2023.100093
64. 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. 10.1016/j.jclepro.2020.124159