63 citations as recorded by crossref.

1. Moraine-dammed lake failures in Patagonia and assessment of outburst susceptibility in the Baker Basin P. Iribarren Anacona et al. https://doi.org/10.5194/nhess-14-3243-2014
2. Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural Gradient Boosting (NGBoost) T. Kavzoglu & A. Teke https://doi.org/10.1007/s13369-022-06560-8
3. Multi-Hazard Susceptibility Assessment Using the Analytical Hierarchy Process and Frequency Ratio Techniques in the Northwest Himalayas, Pakistan A. Rehman et al. https://doi.org/10.3390/rs14030554
4. Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy H. Hong et al. https://doi.org/10.1080/10106049.2015.1130086
5. Risk-based benefit-cost analysis of ecosystem-based disaster risk reduction with considerations of co-benefits, equity, and sustainability M. Chabba et al. https://doi.org/10.1016/j.ecolecon.2022.107462
6. Main Ethiopian Rift landslides formed in contrasting geological settings and climatic conditions K. Martínek et al. https://doi.org/10.5194/nhess-21-3465-2021
7. Adaptive neuro-fuzzy inference system (ANFIS) modeling for landslide susceptibility assessment in a Mediterranean hilly area C. Polykretis et al. https://doi.org/10.1007/s10064-017-1125-1
8. An integrated landslide susceptibility assessment in the Karakoram Mountains based on SBAS-InSAR and machine learning: a case study of the Hunza Valley X. Su et al. https://doi.org/10.1007/s10064-025-04299-8
9. The risk reduction effect of sediment production rate by understory coverage rate in granite area mountain forest T. Mizuno et al. https://doi.org/10.1038/s41598-021-93906-1
10. Mountain farmers׳ livelihoods and perceptions of forest resource degradation at Machiara National Park, Pakistan-administered Kashmir R. Cochard & M. Dar https://doi.org/10.1016/j.envdev.2014.01.004
11. Landslide susceptibility assessment using hybrid method of best-first decision tree and machine learning ensembles W. Li et al. https://doi.org/10.1016/j.kscej.2025.100199
12. A CHANS Approach to Investigating Post-Disaster Recovery Potential in Rural Japan J. Diehl et al. https://doi.org/10.20965/jdr.2022.p0453
13. Ecological Risk Assessment of Geological Disasters Based on Probability-Loss Framework: A Case Study of Fujian, China L. Zong et al. https://doi.org/10.3390/ijerph20054428
14. Harnessing InSAR and Machine Learning for Geotectonic Unit-Specific Landslide Susceptibility Mapping: The Case of Western Greece S. Alatza et al. https://doi.org/10.3390/rs17071161
15. The 2005 Pakistan Earthquake Revisited: Methods for Integrated Landslide Assessment K. Sudmeier-Rieux et al. https://doi.org/10.1659/MRD-JOURNAL-D-10-00110.1
16. High-resolution landslide mapping and susceptibility assessment: Landslide temporal variations and vegetation recovery M. Ali et al. https://doi.org/10.1016/j.asr.2024.06.048
17. Landslide Hazard Assessment Combined with InSAR Deformation: A Case Study in the Zagunao River Basin, Sichuan Province, Southwestern China Y. Shan et al. https://doi.org/10.3390/rs16010099
18. A Comparative Analysis of Certainty Factor-Based Machine Learning Methods for Collapse and Landslide Susceptibility Mapping in Wenchuan County, China X. Yuan et al. https://doi.org/10.3390/rs14143259
19. Documenting five years of landsliding after the 2005 Kashmir earthquake, using repeat photography S. Khan et al. https://doi.org/10.1016/j.geomorph.2013.04.033
20. Determination of landslide susceptibility with Analytic Hierarchy Process (AHP) and the role of forest ecosystem services on landslide susceptibility H. Aksoy https://doi.org/10.1007/s10661-023-12100-0
21. Insights into landslide development and susceptibility in extremely complex alpine geoenvironments along the western Sichuan–Tibet Engineering Corridor, China S. Zhao et al. https://doi.org/10.1016/j.catena.2023.107105
22. Analysis of the Influence of Forests on Landslides in the Bijie Area of Guizhou Y. Zhang et al. https://doi.org/10.3390/f13071136
23. Earth observation based landslide susceptibility mapping along the Kailash-Mansarovar route in Uttarakhand Himalaya using AHP-TOPSIS integrated approach D. Das et al. https://doi.org/10.1007/s12040-026-02807-2
24. Geohazards Susceptibility Assessment along the Upper Indus Basin Using Four Machine Learning and Statistical Models H. Ahmad et al. https://doi.org/10.3390/ijgi10050315
25. GIS-based landslide susceptibility mapping using Frequency ratio method: A case study from Adigrat-Mugulat mountain chains, northern Ethiopia A. Abay et al. https://doi.org/10.1016/j.sciaf.2025.e02661
26. Identification of landslide hazard and risk ‘hotspots’ in Europe C. Jaedicke et al. https://doi.org/10.1007/s10064-013-0541-0
27. Effect of Vegetation Roots on the Threshold of Slope Instability Induced by Rainfall and Runoff G. Huang et al. https://doi.org/10.1155/2021/6682113
28. Effect of physical environmental characteristics on landslide potential in Kuranji Watershed, Padang-West Sumatera . Andriani et al. https://doi.org/10.1051/e3sconf/202346402010
29. 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. https://doi.org/10.1007/s10346-016-0708-4
30. A regional level preliminary landslide susceptibility study of the upper Indus river basin M. Ahmed et al. https://doi.org/10.5721/EuJRS20144721
31. Landslide risk assessment integrating susceptibility, hazard, and vulnerability analysis in Northern Pakistan H. Ahmad et al. https://doi.org/10.1007/s42452-024-05646-2
32. Exploring the Interaction Between Landslides and Carbon Stocks in Italy J. Qadri & F. Ceccato https://doi.org/10.3390/su162411273
33. Glacier recession and glacial lake outburst flood studies in Zanskar basin, western Himalaya R. Mir et al. https://doi.org/10.1016/j.jhydrol.2018.05.031
34. Spatial and temporal evolution of co-seismic landslides after the 2005 Kashmir earthquake M. Shafique https://doi.org/10.1016/j.geomorph.2020.107228
35. Land use management recommendations for reducing the risk of downstream flooding based on a land use change analysis and the concept of ecosystem-based disaster risk reduction S. Kato & W. Huang https://doi.org/10.1016/j.jenvman.2021.112341
36. Monitoring vegetation recovery after China's May 2008 Wenchuan earthquake using Landsat TM time‐series data: a case study in Mao County T. Lu et al. https://doi.org/10.1007/s11284-012-0976-y
37. Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam D. Tien Bui et al. https://doi.org/10.1080/17538947.2016.1169561
38. Multivariate geospatial data integration and machine learning for landslide susceptibility mapping in the basaltic terrain of Savitri River Basin, Western Ghat, India A. Baile et al. https://doi.org/10.1007/s11069-025-07853-5
39. Vegetation as a driver of temporal variations in slope stability: The impact of hydrological processes J. Kim et al. https://doi.org/10.1002/2017GL073174
40. Wetting Induced Deformation of Soils Triggering Landslides in Pakistan S. Riaz et al. https://doi.org/10.1007/s10706-021-01851-7
41. Machine Learning-based Landslide Susceptibility Modeling in the Dibang Valley, NE India S. Mihu et al. https://doi.org/10.1007/s41748-026-01036-3
42. GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods X. Chen & W. Chen https://doi.org/10.1016/j.catena.2020.104833
43. Rain-Induced Landslide Hazard Assessment Using Inception Model and Interpretability Method—A Case Study of Zayu County, Tibet L. Su et al. https://doi.org/10.3390/app14125324
44. Landslide susceptibility assessment using Frequency Ratio, a case study of northern Pakistan H. Khan et al. https://doi.org/10.1016/j.ejrs.2018.03.004
45. Dynamic monitoring and analysis of the earthquake Worst-hit area based on remote sensing M. Xiang et al. https://doi.org/10.1016/j.aej.2022.02.001
46. The Disaster Risk, Global Change, and Sustainability Nexus P. Peduzzi https://doi.org/10.3390/su11040957
47. Exploring the Impact of Various Spectral Indices on Land Cover Change Detection Using Change Vector Analysis: A Case Study of Crete Island, Greece C. Polykretis et al. https://doi.org/10.3390/rs12020319
48. Landslide Susceptibility Mapping in the Vrancea-Buzău Seismic Region, Southeast Romania H. Harmouzi et al. https://doi.org/10.3390/geosciences11120495
49. A GIS-Based Multi-Criteria Decision Analysis Model for Determining Glacier Vulnerability M. Yalcin https://doi.org/10.3390/ijgi9030180
50. A novel building-level landslide risk assessment under rapid urban expansion: integrating high-resolution satellite data and socio-economic data using GIS for Nongpoh Planning Area, Meghalaya N. Lahiri et al. https://doi.org/10.1007/s12040-026-02971-5
51. Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio method in Sikkim Himalaya I. Sonker et al. https://doi.org/10.1016/j.qsa.2022.100067
52. A Review of Landslide Conditioning Factors in the Tropical Forests A. Jasni et al. https://doi.org/10.47836/pjst.32.S4.04
53. A review of the 2005 Kashmir earthquake-induced landslides; from a remote sensing prospective M. Shafique et al. https://doi.org/10.1016/j.jseaes.2016.01.002
54. Landslide susceptibility evaluation in the mountainous terrain of the Zagros fold-thrust belt: a case study from Kurdistan, Northern Iraq J. Doski https://doi.org/10.1007/s11069-024-07069-z
55. A GIS-based factor clustering and landslide susceptibility analysis using AHP for Gish River Basin, India T. Basu & S. Pal https://doi.org/10.1007/s10668-019-00406-4
56. Probability of glacial lake outburst flooding in the Himalaya L. Mohanty & S. Maiti https://doi.org/10.1016/j.resenv.2021.100031
57. A Data-Driven Approach to Landslide-Susceptibility Mapping in Mountainous Terrain: Case Study from the Northwest Himalayas, Pakistan M. Riaz et al. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000302
58. First steps towards a landslide inventory map of the Central Karakoram National Park C. Calligaris et al. https://doi.org/10.5721/EuJRS20134615
59. Assessment of the Role of Nearshore Marine Ecosystems to Mitigate Beach Erosion: The Case of Negril (Jamaica) P. Peduzzi et al. https://doi.org/10.3390/environments9050062
60. Cut slope stability assessment along forest roads using the limit equilibrium approaches and Slide software M. Nasiri & M. Mohammadzade https://doi.org/10.17221/21/2022-JFS
61. Landslide hazard assessment in parts of upper Bhagirathi Basin: a comparative study using earth observation and machine learning based initiatives in perspective of slope instability P. Mohan et al. https://doi.org/10.1007/s10064-025-04544-0
62. Optimizing landslide susceptibility mapping using spatially cross-validated random forest: Lhasa–Dingri corridor, Tibetan Plateau L. Li et al. https://doi.org/10.1007/s11069-026-08374-5
63. Earthquake-Triggered Landslides in Greece from Antiquity to the Present: Temporal, Spatial and Statistical GIS-Based Analysis S. Mavroulis et al. https://doi.org/10.3390/land14020307