106 citations as recorded by crossref.

1. Machine Learning Ensemble Methods for Co-Seismic Landslide Susceptibility: Insights from the 2015 Nepal Earthquake T. Bhattarai & N. Bhandary https://doi.org/10.3390/app15158477
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3. Temporal Variations in Landslide Distributions Following Extreme Events: Implications for Landslide Susceptibility Modeling J. Jones et al. https://doi.org/10.1029/2021JF006067
4. Swarm optimization based heterogeneous machine learning techniques for enhanced landslide susceptibility assessment with comprehensive uncertainty quantification S. Dey & S. Das https://doi.org/10.1007/s12145-024-01617-8
5. Landslide susceptibility assessment at Kathmandu Kyirong Highway Corridor in pre-quake, co-seismic and post-quake situations S. Dhakal et al. https://doi.org/10.1007/s11629-020-6314-x
6. A participatory approach to determine the use of road cut slope design guidelines in Nepal to lessen landslides E. Robson et al. https://doi.org/10.5194/nhess-25-949-2025
7. A stacked ensemble machine learning technique for landslide susceptibility mapping in Meghalaya, India M. Ado et al. https://doi.org/10.1080/17499518.2026.2636068
8. Evaluating underlying causative factors for earthquake-induced landslides and landslide susceptibility mapping in Upper Indrawati Watershed, Nepal P. Gautam et al. https://doi.org/10.1186/s40677-021-00200-3
9. Changing significance of landslide Hazard and risk after the 2015 Mw 7.8 Gorkha, Nepal Earthquake N. Rosser et al. https://doi.org/10.1016/j.pdisas.2021.100159
10. Analysis of landslide explicative factors and susceptibility mapping in an andean context: The case of Azuay province (Ecuador) S. Cobos-Mora et al. https://doi.org/10.1016/j.heliyon.2023.e20170
11. Landslide susceptibility mapping in Lesalso (Laelay Maichew), Northern Ethiopia: a GIS approach using frequency ratio and analytical hierarchy process methods A. Gebrehiwot et al. https://doi.org/10.1007/s40808-025-02578-7
12. Invited perspectives: Mountain roads in Nepal at a new crossroads K. Sudmeier-Rieux et al. https://doi.org/10.5194/nhess-19-655-2019
13. Le terrain en géographie physique, réflexions sur quatre décennies de pratique au Népal M. Fort https://doi.org/10.4000/bagf.9347
14. An Investigation of Landslide Susceptibility Using Logistic Regression and Statistical Index Methods in Dailekh District, Nepal D. Rai et al. https://doi.org/10.1007/s11769-022-1304-2
15. Comparative analysis of slope and grid units for co-seismic landslide susceptibility mapping using machine learning methods T. Bhattarai & N. Bhandary https://doi.org/10.1007/s44288-026-00489-3
16. Mapping the susceptibility of rainfall and earthquake triggered landslides along China–Nepal highways K. Gnyawali et al. https://doi.org/10.1007/s10064-019-01583-2
17. Consequences of slope instability and existing practices of mitigation in hydropower projects of Nepal S. Regmi & R. Dahal https://doi.org/10.1186/s40677-024-00289-2
18. Space–time landslide hazard modeling via Ensemble Neural Networks A. Dahal et al. https://doi.org/10.5194/nhess-24-823-2024
19. A novel landslide susceptibility prediction framework based on contrastive loss S. Ouyang et al. https://doi.org/10.1080/15481603.2024.2306740
20. Historicizing Natural Hazards and Human-Induced Landscape Transformation in a Tropical Mountainous Environment in Africa: Narratives from Elderly Citizens V. Kanyiginya et al. https://doi.org/10.3390/land14020346
21. Development of a framework for the prediction of slope stability using machine learning paradigms K. Rajan et al. https://doi.org/10.1007/s11069-024-06819-3
22. The dynamic threat from landslides following large continental earthquakes K. Arrell et al. https://doi.org/10.1371/journal.pone.0308444
23. Land Use/ Land Cover Changes and Climate Change as Conditioning Factors for Landslide: A Review R. Verma et al. https://doi.org/10.9719/EEG.2026.59.1.159
24. Investigation of landslides triggered by unprecedented rainfall events during 2023 monsoon in Himachal Pradesh, India E. Sana et al. https://doi.org/10.1007/s10346-025-02471-5
25. Physically Validated Rainfall Thresholds for Roadside Landslides Using SMAP Soil Moisture and Antecedent Rainfall Models S. Neupane et al. https://doi.org/10.3390/geosciences16040150
26. Assessing the impact of road on sensitivity of large slow-moving landslides to precipitation by integrating multi-temporal InSAR and panel regression Y. Zhang et al. https://doi.org/10.1016/j.jag.2026.105192
27. Prolonged influence of urbanization on landslide susceptibility T. Rohan et al. https://doi.org/10.1007/s10346-023-02050-6
28. Framework for rainfall-triggered landslide-prone critical infrastructure zonation K. Gnyawali et al. https://doi.org/10.1016/j.scitotenv.2023.162242
29. Timing of exotic, far-traveled boulder emplacement and paleo-outburst flooding in the central Himalayas M. Huber et al. https://doi.org/10.5194/esurf-8-769-2020
30. Multi-hazards, displaced people's vulnerability and resettlement: Post-earthquake experiences from Rasuwa district in Nepal and their connections to policy loopholes and reconstruction practices K. Rieger https://doi.org/10.1016/j.pdisas.2021.100187
31. Paved to Nowhere: Dubious Payoffs of Rural Road Expansion in Nepal’s Rugged Terrain S. ADHIKARI et al. https://doi.org/10.1142/S0116110526400019
32. The degradation of spring water resources in Nepal: some policy gaps R. Chauhan et al. https://doi.org/10.2166/wp.2023.159
33. Rapid assessment of abrupt urban mega-gully and landslide events with structure-from-motion photogrammetric techniques validates link to water resources infrastructure failures in an urban periphery N. Gudino-Elizondo et al. https://doi.org/10.5194/nhess-22-523-2022
34. Framework for Assessment of Eco-Safe Rural Roads in Panchase Geographic Region in Central–Western Nepal Hills S. Devkota et al. https://doi.org/10.3390/environments6060059
35. Stability Assessment of Landslide in Himalayan Terrain: A Spectral Element Method and Back Analysis‐Based Approach S. Baral et al. https://doi.org/10.1002/eng2.70541
36. A call for reducing tourism risk to environmental hazards in the Himalaya A. Ziegler et al. https://doi.org/10.1080/17477891.2021.1984196
37. Monitoring Hazards in Dam Environments Using Remote Sensing Techniques: Case of Kulekhani-I Reservoir in Nepal B. Rimal & A. Tiwary https://doi.org/10.3390/earth5040044
38. Impacts from cascading multi-hazards using hypergraphs: a case study from the 2015 Gorkha earthquake in Nepal A. Dunant et al. https://doi.org/10.5194/nhess-25-267-2025
39. Landslide Susceptibility Assessment Using an AutoML Framework A. Bruzón et al. https://doi.org/10.3390/ijerph182010971
40. Construction of road bridges without consideration of geo-hazards and river-flow dynamics – A case study from Ghatte Khola, Myagdi, Nepal N. Gurung et al. https://doi.org/10.4000/geomorphologie.14777
41. A methodology for road cutting design guidelines based on field observations E. Robson et al. https://doi.org/10.1016/j.enggeo.2022.106771
42. Spatiotemporal distribution characteristics, causes, and prevention advice of fatal geohazards in Jiangxi Province, China C. Shao et al. https://doi.org/10.1016/j.scitotenv.2022.155337
43. Landslide occurrences associated with natural and man-induced factors in Lower Kosi Watershed, Central Himalaya V. Joshi & A. Pande https://doi.org/10.1007/s12040-023-02116-y
44. Landslide monitoring using PS-InSAR: a cost-effective approach for the Himalayas K. Pangeni et al. https://doi.org/10.1007/s42452-025-07343-0
45. Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map S. Malhotra et al. https://doi.org/10.1002/cl2.1203
46. More than one landslide per road kilometer – surveying and modeling mass movements along the Rishikesh–Joshimath (NH-7) highway, Uttarakhand, India J. Mey et al. https://doi.org/10.5194/nhess-24-3207-2024
47. Landslide susceptibility modelling in the Doda Kishtwar Ramban (DKR) region of Jammu and Kashmir using Remote Sensing and Geographic Information System A. Taloor et al. https://doi.org/10.1016/j.qsa.2024.100189
48. The low‐carbon risk society: Dilemmas of risk–risk tradeoffs in energy innovations, transitions, and climate policy B. Sovacool https://doi.org/10.1111/risa.14667
49. Mapping soil organic carbon stocks in Nepal’s forests S. Khanal et al. https://doi.org/10.1038/s41598-023-34247-z
50. The Changing Ecology of a High Himalayan Valley: Challenges to the Sustainable Development of the Kanchenjunga Conservation Area, Eastern Nepal A. Byers et al. https://doi.org/10.3390/su16062434
51. Assessment of landslide susceptibility along the Araniko Highway in Poiqu/Bhote Koshi/Sun Koshi Watershed, Nepal Himalaya N. Nepal et al. https://doi.org/10.1016/j.pdisas.2019.100037
52. Why do landslides occur in Kenya, and what can be done to mitigate their occurrences? E. Kinyeru et al. https://doi.org/10.1007/s11069-025-07938-1
53. Char Dham Highway Construction and the Surge in Landslide Frequency and Magnitude in the Garhwal Himalayas, India S. Saha & B. Bera https://doi.org/10.1007/s10706-025-03233-9
54. Integration of Vulnerability and Hazard Factors for Landslide Risk Assessment P. Arrogante-Funes et al. https://doi.org/10.3390/ijerph182211987
55. The Importance of Rock Mass Damage in the Kinematics of Landslides D. Donati et al. https://doi.org/10.3390/geosciences13020052
56. A data-driven approach to rapidly estimate recovery potential to go beyond building damage after disasters S. Loos et al. https://doi.org/10.1038/s43247-023-00699-4
57. Multimodal multiscale characterization of cascading hazard on mountain terrain R. Talchabhadel et al. https://doi.org/10.1080/19475705.2022.2162443
58. InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal D. Bekaert et al. https://doi.org/10.1016/j.rse.2020.111983
59. All hazards are multihazards, few of them are natural M. Van Wyk de Vries https://doi.org/10.1038/s44304-025-00071-w
60. Sustainable rural infrastructure: guidelines for roadside slope excavation P. Paudyal et al. https://doi.org/10.1186/s40677-023-00240-x
61. Could road constructions be more hazardous than an earthquake in terms of mass movement? H. Tanyaş et al. https://doi.org/10.1007/s11069-021-05199-2
62. Developing a probability-based technique to improve the measurement of landslide vulnerability on regional roads Q. Liu et al. https://doi.org/10.1016/j.ress.2023.109918
63. Integrating dynamic factors for predicting future landslide susceptibility S. Lamichhane et al. https://doi.org/10.1007/s12665-025-12094-7
64. Review of landslide inventories for Nepal between 2010 and 2021 reveals data gaps in global landslide hotspot E. Harvey et al. https://doi.org/10.1007/s11069-024-07013-1
65. Identifying research priorities for road safety in Nepal: a Delphi study P. Pant et al. https://doi.org/10.1136/bmjopen-2021-059312
66. Landslide hazard probability and risk assessment at the community level: a case of western Hubei, China S. Fu et al. https://doi.org/10.5194/nhess-20-581-2020
67. The influence of land use and land cover change on landslide susceptibility in the Lower Mekong River Basin C. Dandridge et al. https://doi.org/10.1007/s11069-022-05604-4
68. Landslides associated with recent road constructions in the Río Lucma catchment, eastern Cordillera Blanca, Peru A. EMMER et al. https://doi.org/10.1590/0001-3765202220211352
69. Mountains of hope: contributing to the sustainable development goals through integrated landslide disaster risk management I. Alcántara-Ayala https://doi.org/10.1007/s11629-025-9536-0
70. Morpho-structural approach to assess landslides in the Kali river valley, NE Kumaun Himalaya, India V. Gupta et al. https://doi.org/10.1007/s12665-021-10151-5
71. Cost-benefit methodology for road slope stabilisation E. Robson et al. https://doi.org/10.1016/j.trgeo.2024.101282
72. Spatio-temporal distribution evolution and factors controlling landslides in Beichua County after Wenchuan earthquake Q. Deng et al. https://doi.org/10.4025/actascitechnol.v47i1.70856
73. Farmers’ Perception of Climate Change and Its Impacts on Agriculture R. Shrestha et al. https://doi.org/10.3390/hydrology9120212
74. 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. https://doi.org/10.5194/nhess-23-643-2023
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76. Impact of strong earthquake on deformation of large-scale high steep slopes using sentinel-1 SAR images: insights from 2017 milin $$M_s$$6.9 earthquake Z. Ma et al. https://doi.org/10.1007/s10064-024-03811-w
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78. Assessing landslide susceptibility: A comparative analysis of bivariate statistical methods along the proposed China-Nepal Railway Corridor M. Khadka et al. https://doi.org/10.1007/s11629-024-9294-4
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