92 citations as recorded by crossref.

1. GIS-based landslide susceptibility analysis using frequency ratio and evidential belief function models Z. Zhang et al. 10.1007/s12665-016-5732-0
2. Landslide hazard assessment: recent trends and techniques S. Pardeshi et al. 10.1186/2193-1801-2-523
3. Landslide susceptibility mapping along Bhalubang — Shiwapur area of mid-Western Nepal using frequency ratio and conditional probability models A. Regmi et al. 10.1007/s11629-013-2847-6
4. Comparison of a logistic regression and Naïve Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size P. Tsangaratos & I. Ilia 10.1016/j.catena.2016.06.004
5. Mapping the landslide susceptibility in Lantau Island, Hong Kong, by frequency ratio and logistic regression model J. Huang et al. 10.1080/19475683.2014.992373
6. Creating infrastructure for seismic microzonation by Geographical Information Systems (GIS): A case study in the North Anatolian Fault Zone (NAFZ) T. Turk et al. 10.1016/j.cageo.2011.10.006
7. Application of data-driven evidential belief functions to landslide susceptibility mapping in Jinbu, Korea S. Lee et al. 10.1016/j.catena.2012.07.014
8. Landslide susceptibility assessment for the Darjeeling Toy Train route: a GIS and machine learning approach P. Sarkar et al. 10.1007/s00477-024-02885-y
9. GIS-Based Groundwater Potential Mapping in Khorramabad in Lorestan, Iran, using Frequency Ratio (FR) and Weights of Evidence (WoE) Models . Fatemeh Falah & . Hossein Zeinivand 10.1134/S0097807819050051
10. Karst collapse susceptibility mapping considering peak ground acceleration in a rapidly growing urban area K. Papadopoulou-Vrynioti et al. 10.1016/j.enggeo.2013.02.009
11. Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data B. Kalantar et al. 10.3390/rs12111737
12. Spatial distribution analysis and susceptibility mapping of landslides triggered before and after Mw7.8 Gorkha earthquake along Upper Bhote Koshi, Nepal J. Tanoli et al. 10.1007/s12517-017-3026-9
13. Quantitative risk assessment of landslides triggered by earthquakes and rainfall based on direct costs of urban buildings J. Vega & C. Hidalgo 10.1016/j.geomorph.2016.07.032
14. Pixel-Based Spatio-Statistical Analysis of Landslide Probability in Humid and Seismically Active Areas of Himalaya and Hindukush S. Khan et al. 10.3390/su16093556
15. A hydroclimatological approach to predicting regional landslide probability using Landlab R. Strauch et al. 10.5194/esurf-6-49-2018
16. Application of various strategies and methodologies for landslide susceptibility maps on a basin scale: the case study of Val Tartano, Italy V. Yordanov & M. Brovelli 10.1007/s12518-020-00344-1
17. Evaluation of environmental parameters in logistic regression models for landslide susceptibility mapping M. Süzen & B. Kaya 10.1080/17538947.2011.586443
18. Establishment of Natural Hazards Mapping Criteria Using Analytic Hierarchy Process (AHP) F. Morales & W. de Vries 10.3389/frsus.2021.667105
19. Evaluation of Conditioning Factors of Slope Instability and Continuous Change Maps in the Generation of Landslide Inventory Maps Using Machine Learning (ML) Algorithms R. Ramos-Bernal et al. 10.3390/rs13224515
20. A bibliometric and content analysis of research trends on GIS-based landslide susceptibility from 2001 to 2020 J. Huang et al. 10.1007/s11356-022-23732-z
21. GIS-Based Rockfall Susceptibility Zoning in Greece C. Saroglou 10.3390/geosciences9040163
22. Spatial prediction of landslide-susceptible zones in El-Qaá area, Egypt, using an integrated approach based on GIS statistical analysis S. Abuzied & H. Alrefaee 10.1007/s10064-018-1302-x
23. Assessment of landslide-triggering factors and occurrence using morphometric parameters in Geyraz Basin, Tokat, Northern Turkey T. Bayer Altın & E. Gökkaya 10.1007/s12665-018-7315-8
24. Landslide susceptibility analysis using Probabilistic Certainty Factor Approach: A case study on Tevankarai stream watershed, India E. Sujatha et al. 10.1007/s12040-012-0230-6
25. Modeling landslides hazard along Amman–Jerash–Irbid Highway, Jordan by integrating open street map (OSM) and weighted linear combination (WLC) techniques A. Al-Rawabdeh et al. 10.1007/s40808-023-01910-3
26. Characterising the spatial distribution, frequency and geomorphic controls on landslide occurrence, Molise, Italy E. Borgomeo et al. 10.1016/j.geomorph.2014.08.004
27. Landslide susceptibility analysis for the Kerch Peninsula using weights of evidence approach and GIS D. Krivoguz & L. Bespalova 10.2205/2019ES000682
28. Robust landslide susceptibility analysis by combination of frequency ratio, heuristic GIS-methods and ground truth evaluation for a mountainous study area with poor data availability in the Three Gorges Reservoir area, PR China M. Schleier et al. 10.1007/s12665-013-2677-4
29. Application of the Multitype Strauss Point Model for Characterizing the Spatial Distribution of Landslides I. Das & A. Stein 10.1155/2016/1612901
30. A Geomechanical Approach to Landslide Hazard Assessment: The Multiscalar Method for Landslide Mitigation F. Cotecchia et al. 10.1016/j.proeng.2016.08.471
31. Assessing the spatial variability of coefficients of landslide predictors in different regions of Romania using logistic regression M. Mărgărint et al. 10.5194/nhess-13-3339-2013
32. Implementing landslide path dependency in landslide susceptibility modelling J. Samia et al. 10.1007/s10346-018-1024-y
33. Assessing landslide susceptibility and dynamics at cultural heritage sites by integrating machine learning techniques and persistent scatterer interferometry J. Bonini et al. 10.1016/j.geomorph.2024.109522
34. Susceptibility assessment to different types of landslides in the coastal cliffs of Lourinhã (Central Portugal) B. Epifânio et al. 10.1016/j.seares.2014.04.006
35. Bivariate statistical index for landslide susceptibility mapping in the Rorachu river basin of eastern Sikkim Himalaya, India S. Mandal & K. Mandal 10.1007/s41324-017-0156-9
36. A new approach to mapping landslide hazards: a probabilistic integration of empirical and physically based models in the North Cascades of Washington, USA R. Strauch et al. 10.5194/nhess-19-2477-2019
37. Sinkhole Detection and Characterization Using LiDAR-Derived DEM with Logistic Regression Y. Kim et al. 10.3390/rs11131592
38. Methodological Aspects of Building Information System for Monitoring of Landslide Hazards V. Nikolova & P. Zlateva 10.1088/1755-1315/151/1/012028
39. Loess slide susceptibility assessment using frequency ratio model and artificial neural network H. Qiu et al. 10.1144/qjegh2017-056
40. Evaluating underlying causative factors for earthquake-induced landslides and landslide susceptibility mapping in Upper Indrawati Watershed, Nepal P. Gautam et al. 10.1186/s40677-021-00200-3
41. Landslide susceptibility of the Prato–Pistoia–Lucca provinces, Tuscany, Italy S. Segoni et al. 10.1080/17445647.2016.1233463
42. Geographic information system for the development of soil suitability map in south Chennai, India V. Stalin & R. Murugan 10.1007/s12517-014-1323-0
43. Slope Failure Characteristics and Slope Movement Susceptibility Assessment Using GIS in a Medium Scale: A Case Study from Ouled Driss and Machroha Municipalities, Northeast Algeria R. Hadji et al. 10.1007/s13369-016-2046-1
44. Development of a landslide susceptibility assessment for a rail network K. Martinović et al. 10.1016/j.enggeo.2016.10.011
45. Application of Analytical Hierarchy Process (AHP) algorithm to income insecurity susceptibility mapping – A study in the district of Purulia, India M. Mishra & S. Chatterjee 10.1016/j.seps.2017.07.002
46. A Review of Landslide Conditioning Factors in the Tropical Forests A. Jasni et al. 10.47836/pjst.32.S4.04
47. An Open-Source Platform for GIS Data Management and Analytics F. Piccoli et al. 10.3390/s23083788
48. Determination of landslide hazardous map using logistic regression in Lima Puluh Kota Regency . Ahyuni et al. 10.1088/1742-6596/2582/1/012012
49. 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. 10.1007/s10346-016-0708-4
50. A review on spatial, temporal and magnitude prediction of landslide hazard A. Tyagi et al. 10.1016/j.jaesx.2022.100099
51. Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models V. Nhu et al. 10.3390/w12040985
52. GIS-based landslide susceptibility mapping using Frequency ratio method: A case study from Adigrat-Mugulat mountain chains, northern Ethiopia A. Abay et al. 10.1016/j.sciaf.2025.e02661
53. Landslide Susceptibility Mapping Using GIS-Based Data Mining Algorithms V. Vakhshoori et al. 10.3390/w11112292
54. Redundancy and hierarchical cluster analyses for characterizing geomorphic features contributing to the formation of landslide dams H. Chen et al. 10.1007/s10346-024-02310-z
55. Data-driven segmentation of observation-level logistic regression models Y. Choi et al. 10.1093/jrsssc/qlaf015
56. 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. 10.3390/su9050813
57. Application of logistic regression and fuzzy operators to landslide susceptibility assessment in Azdavay (Kastamonu, Turkey) M. Ercanoglu & F. Temiz 10.1007/s12665-011-0912-4
58. Influence of Tectonics and Morphometric Features on the Landslide Distribution: A Case Study from the Mesima Basin (Calabria, South Italy) M. Conforti & F. Ietto 10.1007/s12583-019-1231-z
59. Methods of Evaluation for Region’s Landslide Susceptibility. Short Overview Д. Кривогуз & D. Krivoguz 10.12737/22192
60. Analysis of bi-variate statistical and multi-criteria decision-making models in landslide susceptibility mapping in lower Mandakini Valley, India H. Mirdda et al. 10.1007/s10708-019-09991-3
61. Landslide susceptibility assessment in the rocky coast subsystem of Essaouira, Morocco A. Khouz et al. 10.5194/nhess-22-3793-2022
62. Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya A. Regmi et al. 10.1007/s12517-012-0807-z
63. Integration of landslide susceptibility assessment in urban development: a case study in Predeal town, Romanian Carpathians B. Mihai et al. 10.1111/area.12123
64. Digital Elevation Models of Rockfalls and Landslides: A Review and Meta-Analysis M. Kakavas & K. Nikolakopoulos 10.3390/geosciences11060256
65. Insights Gained from the Review of Landslide Susceptibility Assessment Studies in Italy S. Segoni et al. 10.3390/rs16234491
66. Description of a GIS-based rockfall hazard assessment methodology and its application in mountainous sites N. Depountis et al. 10.1007/s10064-019-01590-3
67. Landslide dam formation susceptibility analysis based on geomorphic features C. Chen & J. Chang 10.1007/s10346-015-0671-5
68. Buffer movement analysis and blunder probability analysis for GIS-based landslide susceptibility mapping E. HAMASAKI et al. 10.3313/jls.52.51
69. Determination of the development of settlements above earthquake susceptibility classes in Atakum district (Samsun/Turkey) M. Bahadır et al. 10.26833/ijeg.1465072
70. Landslide susceptibility analysis for the Kerch Peninsula using weights of evidence approach and GIS D. Krivoguz & L. Bespalova 10.2205/2020ES000682
71. The relations between settlement and selected environmental features with regard to landslide hazard in the Polish Carpathians P. Śleszyński et al. 10.1016/j.catena.2025.108897
72. The Contribution of Landslide Susceptibility Factors Through the Use of Rock Engineering System (RES) to the Prognosis of Slope Failures: An Application in Panagopoula and Malakasa Landslide Areas in Greece N. Tavoularis et al. 10.1007/s10706-017-0403-9
73. Automated derivation and spatio-temporal analysis of landslide properties in southern Kyrgyzstan D. Golovko et al. 10.1007/s11069-016-2636-y
74. Geospatial intelligence for landslide susceptibility and risk analysis: Insights from NH31A and east Sikkim Himalaya settlements S. Alam et al. 10.1016/j.nhres.2024.10.001
75. A simple method for landslide risk assessment in the Rivière Aux Vases basin, Quebec, Canada A. Regmi & N. Agrawal 10.1016/j.pdisas.2022.100247
76. Landslides: A state-of-the art on the current position in the landslide research community M. Mikoš 10.1007/s10346-011-0297-1
77. Long-term InSAR, borehole inclinometer, and rainfall records provide insight into the mechanism and activity patterns of an extremely slow urbanized landslide J. Wasowski & L. Pisano 10.1007/s10346-019-01276-7
78. Landslide susceptibility mapping with GIS in high mountain area of Nepal: a comparison of four methods P. Gautam et al. 10.1007/s12665-021-09650-2
79. Main Ethiopian Rift landslides formed in contrasting geological settings and climatic conditions K. Martínek et al. 10.5194/nhess-21-3465-2021
80. GIS-based landslide susceptibility mapping in the Safi region, West Morocco O. Boualla et al. 10.1007/s10064-017-1217-y
81. A Comparative Analysis of Binary Logistic Regression and Analytical Hierarchy Process for Landslide Susceptibility Assessment in the Dobrov River Basin, Romania C. PATRICHE et al. 10.1016/S1002-0160(15)60047-9
82. Determination of Areas Susceptible to Landsliding Using Spatial Patterns of Rainfall from Tropical Rainfall Measuring Mission Data, Rio de Janeiro, Brazil R. Guimarães et al. 10.3390/ijgi6100289
83. Landsliding as a Limit to Possible Territorial Development in the Kysuce Region M. Barančoková & P. Barančok 10.2478/eko-2019-0023
84. Sea cliff instability susceptibility considering nearby human occupation and predictive capacity assessment S. Queiroz & F. Marques 10.1016/j.enggeo.2019.03.009
85. Landslide hazard zonation and evaluation around Debre Markos town, NW Ethiopia—a GIS-based bivariate statistical approach D. Asmare 10.1016/j.sciaf.2022.e01129
86. Statistical modelling of rainfall-induced shallow landsliding using static predictors and numerical weather predictions: preliminary results V. Capecchi et al. 10.5194/nhess-15-75-2015
87. LANDSLIDE SUSCEPTIBILITY MAPPING THROUGH WEIGHTAGES DERIVED FROM STATISTICAL INFORMATION VALUE MODEL K. A. et al. 10.26634/jpr.4.4.14129
88. 基于集成学习建模的滑坡易发性评价 L. Wu et al. 10.3799/dqkx.2022.451
89. Investigating the efficacy of physics-based metaheuristic algorithms in combination with explainable ensemble machine-learning models for landslide susceptibility mapping S. Razavi-Termeh et al. 10.1007/s00477-025-02911-7
90. Landslide susceptibility mapping of the Sera River Basin using logistic regression model N. Raja et al. 10.1007/s11069-016-2591-7
91. Landslide zoning over large areas from a sample inventory by means of scale-dependent terrain units M. Calvello et al. 10.1016/j.geomorph.2012.10.026
92. Susceptibility factors of drainage basins to shallow landslides in coffee-growing areas in the Department of Caldas, Colombia L. Salazar Gutiérrez et al. 10.1007/s12665-021-09428-6