81 citations as recorded by crossref.

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3. Modeling debris flow initiation and run-out in recently burned areas using data-driven methods R. Melo & J. Zêzere https://doi.org/10.1007/s11069-017-2921-4
4. Spatiotemporal patterns of landslide exposure – a step within future landslide risk analysis on a regional scale applied in Waidhofen/Ybbs Austria C. Promper et al. https://doi.org/10.1016/j.ijdrr.2014.11.003
5. 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
6. Technical Note: Assessing predictive capacity and conditional independence of landslide predisposing factors for shallow landslide susceptibility models S. Pereira et al. https://doi.org/10.5194/nhess-12-979-2012
7. Generation of Persistent Scatterers in Non-Urban Areas: The Role of Microwave Scattering Parameters G. Nico et al. https://doi.org/10.3390/geosciences8070269
8. Back analysis of landslide susceptibility zonation mapping for the 2005 Kashmir earthquake: an assessment of the reliability of susceptibility zoning maps U. Kamp et al. https://doi.org/10.1007/s11069-009-9451-7
9. Landslide susceptibility maps of Italy: Lesson learnt from dealing with multiple landslide types and the uneven spatial distribution of the national inventory M. Loche et al. https://doi.org/10.1016/j.earscirev.2022.104125
10. Integrating Data Modality and Statistical Learning Methods for Earthquake-Induced Landslide Susceptibility Mapping Z. Miao et al. https://doi.org/10.3390/app12031760
11. 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
12. A wrapper feature selection approach for efficient modelling of gully erosion susceptibility mapping H. Rouhani et al. https://doi.org/10.1177/0309133320979897
13. Comparing probabilistic and statistical methods in landslide susceptibility modeling in Rwanda/Centre-Eastern Africa J. Nsengiyumva et al. https://doi.org/10.1016/j.scitotenv.2018.12.248
14. The unlocked mechanism and instability prediction of a typical locked-segment-type slope in China: the Chana landslide B. Yang et al. https://doi.org/10.1007/s10064-022-03001-6
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17. Assessment of physical vulnerability of buildings and analysis of landslide risk at the municipal scale: application to the Loures municipality, Portugal C. Guillard-Gonçalves et al. https://doi.org/10.5194/nhess-16-311-2016
18. GIS-based statistical analysis for landslide susceptibility evaluation and zonation mapping: A case from Blue Nile Gorge, Gohatsion-Dejen road corridor, Central Ethiopia Y. Ali et al. https://doi.org/10.1016/j.envc.2024.100968
19. A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping Q. Pham et al. https://doi.org/10.1080/19475705.2021.1944330
20. Application of risk, cost–benefit and acceptability analyses to identify the most appropriate geosynthetic solution to mitigate sinkhole damage on roads J. Galve et al. https://doi.org/10.1016/j.enggeo.2012.07.002
21. Relationship between landslides and mountain development—Integrating geospatial statistics and a new long-term database Y. Chuang & Y. Shiu https://doi.org/10.1016/j.scitotenv.2017.12.039
22. Probabilistic landslide risk analysis considering direct costs in the area north of Lisbon (Portugal) J. Zêzere et al. https://doi.org/10.1016/j.geomorph.2006.10.040
23. Quantitative landslide hazard assessment along a transportation corridor in southern India P. Jaiswal et al. https://doi.org/10.1016/j.enggeo.2010.09.005
24. An integrated approach to investigate slope instability affecting infrastructures M. Conforti & F. Ietto https://doi.org/10.1007/s10064-018-1311-9
25. Optimum Sensors Allocation for a Forest Fires Monitoring System B. Azevedo et al. https://doi.org/10.3390/f12040453
26. Physical Vulnerability and Landslide Risk Assessment in Tegucigalpa City, Honduras G. Suárez & M. Domínguez-Cuesta https://doi.org/10.3390/app14199114
27. Techniques, issues and advances in numerical modelling of landslide hazard T. van Asch et al. https://doi.org/10.2113/gssgfbull.178.2.65
28. Landslide susceptibility mapping and rock slope stability assessment using frequency ratio and kinematic analysis in the mountains of Mgulat area, Northern Ethiopia G. Berhane et al. https://doi.org/10.1007/s10064-020-01905-9
29. Techniques for evaluating the performance of landslide susceptibility models P. Frattini et al. https://doi.org/10.1016/j.enggeo.2009.12.004
30. Landslide Susceptibility Assessment Using Evidence Belief Function and Frequency Ratio Models in Taounate city (North of Morocco) A. Abidi et al. https://doi.org/10.1007/s10706-019-00992-0
31. Evaluation of Landslide Risk Using the WoE and IV Methods: A Case Study in the Zipaquirá–Pacho Road Corridor S. Velazco et al. https://doi.org/10.3390/geohazards6020027
32. Landslide susceptibility evaluation and hazard zonation techniques – a review L. Shano et al. https://doi.org/10.1186/s40677-020-00152-0
33. National-scale landslide susceptibility map of Romania in a European methodological framework D. Bălteanu et al. https://doi.org/10.1016/j.geomorph.2020.107432
34. Landslide Risk Models for Decision Making J. Bonachea et al. https://doi.org/10.1111/j.1539-6924.2009.01283.x
35. Application of landslide hazard scenarios at annual scale in the Niraj River basin (Transylvania Depression, Romania) R. Sanda et al. https://doi.org/10.1007/s11069-015-1665-2
36. Engineering geology maps: landslides and geographical information systems J. Chacón et al. https://doi.org/10.1007/s10064-006-0064-z
37. Magnitude–frequency characteristics and preparatory factors for spatial debris-slide distribution in the northern Faroe Islands M. Dahl et al. https://doi.org/10.1016/j.geomorph.2012.09.015
38. Probabilistic Risk Assessment in Medium Scale for Rainfall‐Induced Earthflows: Catakli Catchment Area (Cayeli, Rize, Turkey) H. Nefeslioglu et al. https://doi.org/10.1155/2011/280431
39. Improving sinkhole hazard models incorporating magnitude–frequency relationships and nearest neighbor analysis J. Galve et al. https://doi.org/10.1016/j.geomorph.2011.05.020
40. Quantitative assessment of landslide hazard and risk at regional-scale: a case study from central Vietnam R. Das et al. https://doi.org/10.1007/s11356-025-37189-3
41. Towards Sustainable Heritage Conservation: A Hybrid Landslide Susceptibility Mapping Framework in Japan’s UNESCO Mountain Villages A. Bassem et al. https://doi.org/10.3390/su18010237
42. Assessment of temporal probability for rainfall-induced landslides based on nonstationary extreme value analysis H. Kim et al. https://doi.org/10.1016/j.enggeo.2021.106372
43. Estimating potential landslide sites of an upland sub-watershed in Western Ghat’s of Kerala (India) through frequency ratio and GIS H. Vijith & G. Madhu https://doi.org/10.1007/s00254-007-1090-2
44. 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
45. Frequency ratio model based landslide susceptibility mapping in lower Mae Chaem watershed, Northern Thailand N. Intarawichian & S. Dasananda https://doi.org/10.1007/s12665-011-1055-3
46. Temporal prediction modeling for rainfall-induced shallow landslide hazards using extreme value distribution J. Lee et al. https://doi.org/10.1007/s10346-020-01502-7
47. Assessment of shallow landslide risk mitigation measures based on land use planning through probabilistic modelling J. Galve et al. https://doi.org/10.1007/s10346-014-0478-9
48. The Influence of Different Knowledge-Driven Methods on Landslide Susceptibility Mapping: A Case Study in the Changbai Mountain Area, Northeast China Z. Ma et al. https://doi.org/10.3390/e21040372
49. GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms S. Ali et al. https://doi.org/10.1016/j.gsf.2020.09.004
50. An Ecogeomorphological Approach to Land-Use Planning and Natural Hazard Risk Mitigation: A Literature Review Z. Zhang et al. https://doi.org/10.3390/land14091911
51. 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
52. Implications of future land-use/cover pattern change on landslide susceptibility at a national level: A scenario-based analysis in Romania M. Jurchescu et al. https://doi.org/10.1016/j.catena.2023.107330
53. 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
54. Semi-quantitative landslide risk assessment using GIS-based exposure analysis in Kuala Lumpur City O. Althuwaynee & B. Pradhan https://doi.org/10.1080/19475705.2016.1255670
55. Evaluation of landslide susceptibility in a hill city of Sikkim Himalaya with the perspective of hybrid modelling techniques H. Kaur et al. https://doi.org/10.1080/19475683.2019.1575906
56. Integrating Multi-Temporal LiDAR and AHP for Landslide Detection and Susceptibility Mapping in Prince George’s County, Maryland M. Okegbola et al. https://doi.org/10.1016/j.jnlssr.2026.100311
57. Predicting storm-triggered debris flow events: application to the 2009 Ionian Peloritan disaster (Sicily, Italy) M. Cama et al. https://doi.org/10.5194/nhess-15-1785-2015
58. Combining Social Vulnerability and Physical Vulnerability to Analyse Landslide Risk at the Municipal Scale C. Guillard-Gonçalves & J. Zêzere https://doi.org/10.3390/geosciences8080294
59. 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
60. Multi-method characterisation of an active landslide: Case study in the Pays d'Auge plateau (Normandy, France) M. Fressard et al. https://doi.org/10.1016/j.geomorph.2016.07.001
61. Landfill site selection for municipal solid wastes in mountainous areas with landslide susceptibility M. Eskandari et al. https://doi.org/10.1007/s11356-016-6459-x
62. Évaluation de l’aléa glissements de terrain : état de l’art et perspectives pour la cartographie réglementaire en France Y. Thiery & M. Terrier https://doi.org/10.1051/geotech/2019003
63. Geomorphology and GIS analysis for mapping gully erosion susceptibility in the Turbolo stream catchment (Northern Calabria, Italy) M. Conforti et al. https://doi.org/10.1007/s11069-010-9598-2
64. Improvement of landslide hazard assessments for regulatory zoning in France: STATE–OF–THE-ART perspectives and considerations Y. Thiery et al. https://doi.org/10.1016/j.ijdrr.2020.101562
65. Detection and Susceptibility Mapping of Landslide Using Multi-Temporal Lidar Digital Elevation Models: Case Study of Prince George’s County, Maryland M. Okegbola et al. https://doi.org/10.1177/03611981261441298
66. Landslide risk analysis in the area North of Lisbon (Portugal): evaluation of direct and indirect costs resulting from a motorway disruption by slope movements J. Zêzere et al. https://doi.org/10.1007/s10346-006-0070-z
67. Predicting landslides for risk analysis — Spatial models tested by a cross-validation technique C. Chung & A. Fabbri https://doi.org/10.1016/j.geomorph.2006.12.036
68. Landslide susceptibility assessment in the rocky coast subsystem of Essaouira, Morocco A. Khouz et al. https://doi.org/10.5194/nhess-22-3793-2022
69. On Blind Tests and Spatial Prediction Models A. Fabbri & C. Chung https://doi.org/10.1007/s11053-008-9072-y
70. Medium-scale hazard mapping for shallow landslide initiation: the Buyukkoy catchment area (Cayeli, Rize, Turkey) H. Nefeslioglu et al. https://doi.org/10.1007/s10346-011-0267-7
71. Application of gis and frequency ratio model in mapping the potential surface failure sites in the poonjar sub-watershed of meenachil river in western ghats of kerala H. Vijith & G. Madhu https://doi.org/10.1007/BF03013495
72. Probabilistic landslide hazard assessment using homogeneous susceptible units (HSU) along a national highway corridor in the northern Himalayas, India I. Das et al. https://doi.org/10.1007/s10346-011-0257-9
73. Probabilistic landslide hazard assessments: adaptation of spatial models to large slow-moving earth flows and preliminary evaluation in Loja (Ecuador) J. Soto et al. https://doi.org/10.1007/s12665-024-11905-7
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75. Geospatial modelling of flood susceptibility pattern in a subtropical area of West Bengal, India H. Kaur et al. https://doi.org/10.1007/s12665-017-6667-9
76. A systematic review of landslide probability mapping using logistic regression M. Budimir et al. https://doi.org/10.1007/s10346-014-0550-5
77. Weight of evidence and artificial neural networks for potential groundwater spring mapping: an application to the Mt. Modino area (Northern Apennines, Italy) A. Corsini et al. https://doi.org/10.1016/j.geomorph.2008.03.015
78. Chapter 13 Landslides on São Miguel Island (Azores): susceptibility analysis and validation of rupture zones using a bivariate GIS-based statistical approach R. Marques et al. https://doi.org/10.1144/M44.13
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80. Combining data-driven models to assess susceptibility of shallow slides failure and run-out R. Melo et al. https://doi.org/10.1007/s10346-019-01235-2
81. GIS-based landslide susceptibility mapping for the 2005 Kashmir earthquake region U. Kamp et al. https://doi.org/10.1016/j.geomorph.2008.03.003