71 citations as recorded by crossref.

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20. Reviewing qualitative GIS research—Toward a wider usage of open‐source GIS and reproducible research practices J. Muenchow et al. 10.1111/gec3.12441
21. Three decades of landslide activity in western Nepal: new insights into trends and climate drivers A. Muñoz-Torrero Manchado et al. 10.1007/s10346-021-01632-6
22. Analysis of landslide explicative factors and susceptibility mapping in an andean context: The case of Azuay province (Ecuador) S. Cobos-Mora et al. 10.1016/j.heliyon.2023.e20170
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25. Chinese High Resolution Satellite Data and GIS-Based Assessment of Landslide Susceptibility along Highway G30 in Guozigou Valley Using Logistic Regression and MaxEnt Model Y. Liu et al. 10.3390/rs14153620
26. Terrain visibility impact on the preparation of landslide inventories: a practical example in Darjeeling district (India) T. Bornaetxea et al. 10.5194/nhess-22-2929-2022
27. The influence of systematically incomplete shallow landslide inventories on statistical susceptibility models and suggestions for improvements S. Steger et al. 10.1007/s10346-017-0820-0
28. A framework for optimizing environmental covariates to support model interpretability in digital soil mapping B. Kasraei et al. 10.1016/j.geoderma.2024.116873
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30. Landslide susceptibility assessment using locally weighted learning integrated with machine learning algorithms H. Hong 10.1016/j.eswa.2023.121678
31. Characterization and geophysical evaluation of the recent 2023 Alausí landslide in the northern Andes of Ecuador L. Macías et al. 10.1007/s10346-023-02185-6
32. Modeling and Evaluation of the Susceptibility to Landslide Events Using Machine Learning Algorithms in the Province of Chañaral, Atacama Region, Chile F. Parra et al. 10.3390/su152416806
33. Preface: Landslide–transport network interactions F. Taylor et al. 10.5194/nhess-20-2585-2020
34. National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data Q. Lin et al. 10.1016/j.gsf.2021.101248
35. Anthropogenic processes, natural hazards, and interactions in a multi-hazard framework J. Gill & B. Malamud 10.1016/j.earscirev.2017.01.002
36. Forest harvesting is associated with increased landslide activity during an extreme rainstorm on Vancouver Island, Canada J. Goetz et al. 10.5194/nhess-15-1311-2015
37. Assessing uncertainties in landslide susceptibility predictions in a changing environment (Styrian Basin, Austria) R. Knevels et al. 10.5194/nhess-23-205-2023
38. The influences of the spatial extent selection for non-landslide samples on statistical-based landslide susceptibility modelling: a case study of Anhui Province in China C. Wang et al. 10.1007/s11069-022-05252-8
39. Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility P. Lima et al. 10.1007/s11629-021-7254-9
40. Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data P. Schratz et al. 10.1016/j.ecolmodel.2019.06.002
41. Assessing Landslide Susceptibility by Coupling Spatial Data Analysis and Logistic Model A. Ganga et al. 10.3390/su14148426
42. Impacts of Habitat Degradation on Tropical Montane Biodiversity and Ecosystem Services: A Systematic Map for Identifying Future Research Priorities M. Soh et al. 10.3389/ffgc.2019.00083
43. Developing a more complete understanding of tropical montane forest disturbance ecology through landslide research C. Freund & M. Silman 10.3389/ffgc.2023.1091387
44. The influence of the inventory on the determination of the rainfall-induced shallow landslides susceptibility using generalized additive models M. Bordoni et al. 10.1016/j.catena.2020.104630
45. Assessing the utility of regionalized rock-mass geomechanical properties in rockfall susceptibility modelling in an alpine environment G. Bajni et al. 10.1016/j.geomorph.2022.108401
46. Comparative evaluation of information value and frequency ratio in landslide susceptibility analysis along national highways of Sikkim Himalaya S. Mandal et al. 10.1007/s41324-017-0160-0
47. Intensification of ENSO frequency drives forest disturbance in the andes during the holocene K. Hagemans et al. 10.1016/j.quascirev.2022.107762
48. Characteristics and causes of natural and human-induced landslides in a tropical mountainous region: the rift flank west of Lake Kivu (Democratic Republic of the Congo) J. Maki Mateso et al. 10.5194/nhess-23-643-2023
49. From spatio-temporal landslide susceptibility to landslide risk forecast T. Wang et al. 10.1016/j.gsf.2023.101765
50. Explainable Boosting Machines for Slope Failure Spatial Predictive Modeling A. Maxwell et al. 10.3390/rs13244991
51. Performance evaluation of machine learning and statistical techniques for modelling landslide susceptibility with limited field data A. Achu et al. 10.1007/s12145-022-00910-8
52. Disturbance and Response in the Andean Cloud Forest: a Conceptual Review R. Myster 10.1007/s12229-020-09219-x
53. Rainfall-Induced Landslide Assessment under Different Precipitation Thresholds Using Remote Sensing Data: A Central Andes Case G. Maragaño-Carmona et al. 10.3390/w15142514
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. The influence of forest cover on landslide occurrence explored with spatio-temporal information E. Schmaltz et al. 10.1016/j.geomorph.2017.04.024
56. Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling – Benefits of exploring landslide data collection effects S. Steger et al. 10.1016/j.scitotenv.2021.145935
57. Transfer learning for landslide susceptibility modeling using domain adaptation and case-based reasoning Z. Wang et al. 10.5194/gmd-15-8765-2022
58. Landslide Susceptibility Mapping along the Anninghe Fault Zone in China using SVM and ACO-PSO-SVM Models Z. Chen et al. 10.2113/2022/5216125
59. Landslide susceptibility mapping using CNN-1D and 2D deep learning algorithms: comparison of their performance at Asir Region, KSA A. Youssef et al. 10.1007/s10064-022-02657-4
60. Land use and land cover as a conditioning factor in landslide susceptibility: a literature review R. Pacheco Quevedo et al. 10.1007/s10346-022-02020-4
61. Habitat suitability modelling to improve conservation status of two critically endangered endemic Afromontane forest bird species in Taita Hills, Kenya G. Obunga et al. 10.1016/j.jnc.2021.126111
62. Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity M. Bordoni et al. 10.5194/nhess-18-1735-2018
63. High Impact Weather Events in the Andes G. Poveda et al. 10.3389/feart.2020.00162
64. Event-Based Landslide Modeling in the Styrian Basin, Austria: Accounting for Time-Varying Rainfall and Land Cover R. Knevels et al. 10.3390/geosciences10060217
65. The performance of landslide susceptibility models critically depends on the quality of digital elevation models J. Brock et al. 10.1080/19475705.2020.1776403
66. Investigation of landslide hazard areas in the municipality of Cunha (Brazil) and climate projections from 2024 to 2040 I. de Souza et al. 10.1016/j.uclim.2023.101710
67. Ecosystem Services from Tropical Forests: Review of Current Science K. Brandon 10.2139/ssrn.2622749
68. Comparison of Landslide Susceptibility Maps using Logistic Regression (LR) and Generalized Additive Model (GAM) Z. Timoori Yansari et al. 10.29252/jwmr.9.18.208
69. A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management J. de Albuquerque et al. 10.1080/13658816.2014.996567
70. Landslide susceptibility analysis using remote sensing and GIS in the western Ecuadorian Andes N. Younes Cárdenas & E. Erazo Mera 10.1007/s11069-016-2157-8
71. GIS-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Naïve-Bayes tree, and alternating decision tree models W. Chen et al. 10.1080/19475705.2017.1289250