59 citations as recorded by crossref.

1. Review article: Physical vulnerability database for critical infrastructure hazard risk assessments – a systematic review and data collection S. Nirandjan et al. https://doi.org/10.5194/nhess-24-4341-2024
2. Sensitivity evaluation and prediction of extreme rainfall-induced landslides in Xinning, Hunan, China, using Gumbel extreme value theory and random forest model Y. Yu et al. https://doi.org/10.1007/s12665-026-12953-x
3. Impact-based probabilistic modeling of hydro-morphological processes in China (1985–2015) N. Wang et al. https://doi.org/10.1016/j.jenvman.2023.118463
4. Earthquake-Induced Landslide Risk Assessment: An Example from Sakhalin Island, Russia A. Konovalov et al. https://doi.org/10.3390/geosciences9070305
5. Fast landslide events in calcareous debris and weathered pyroclastic soils: a case study in Southern Italy L. Massaro et al. https://doi.org/10.1007/s10064-026-04852-z
6. Assessment of exposed elements in a changing built environment by using an integrated model of debris flow initiation and runout (Kalimpong region, Himalaya) S. Bera et al. https://doi.org/10.1007/s10064-021-02352-w
7. An integrated assessment of landslide: Type, causes, pre-post scenario and risk impact of the Pettimudi incident in Idukki District, India A. S. et al. https://doi.org/10.1016/j.rines.2024.100050
8. Runout modelling and hazard assessment of Tangni debris flow in Garhwal Himalayas, India R. Dash et al. https://doi.org/10.1007/s12665-021-09637-z
9. Machine learning driven landslide susceptibility prediction for the Uttarkashi region of Uttarakhand in India P. Kainthura & N. Sharma https://doi.org/10.1080/17499518.2021.1957484
10. Recommendations for the quantitative analysis of landslide risk J. Corominas et al. https://doi.org/10.1007/s10064-013-0538-8
11. Hazard prediction modeling for typhoon-triggered shallow landslides by integrating physically-based model and extreme rainfall analysis T. Zeng et al. https://doi.org/10.1007/s10064-025-04371-3
12. Impact of land-use change on soil erosion in the Coonoor Watershed, Nilgiris Mountain Range, Tamil Nadu, India S. Saravanan et al. https://doi.org/10.1007/s12517-021-06817-w
13. Risk analysis for the Ancona landslide—II: estimation of risk to buildings M. Uzielli et al. https://doi.org/10.1007/s10346-014-0477-x
14. Use of hazard and vulnerability maps for landslide planning scenarios: a case study of the Nilgiris, India G. Ganapathy & A. Rajawat https://doi.org/10.1007/s11069-015-1587-z
15. Use of GIS in assessing building vulnerability for landslide hazard in The Nilgiris, Western Ghats, India E. Thennavan et al. https://doi.org/10.1007/s11069-016-2232-1
16. The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea L. Saro et al. https://doi.org/10.1515/geo-2016-0010
17. Exposure and physical vulnerability to geo-hydrological hazards in rural environments: A field-based assessment in East Africa J. Sekajugo et al. https://doi.org/10.1016/j.ijdrr.2024.104282
18. Introduce a framework for landslide risk assessment using geospatial analysis: a case study from Kegalle District, Sri Lanka E. Perera et al. https://doi.org/10.1007/s40808-020-00811-z
19. Development of shallow landslide susceptibility maps incorporating relative spacing index for forest management H. Asada et al. https://doi.org/10.1016/j.indic.2024.100515
20. 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
21. 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
22. Regional-scale landslide risk assessment in Central Asia F. Caleca et al. https://doi.org/10.5194/nhess-24-13-2024
23. Slope Assessment and Suggested Slope Design of the Bekhme Residential Complex in North Iraq A. Al-Jawadi et al. https://doi.org/10.1007/s40098-020-00497-1
24. Runout of rainfall-induced landslides in Malaysia K. Sim et al. https://doi.org/10.1007/s10669-025-10036-z
25. Application of remote sensing data and GIS for landslide risk assessment as an environmental threat to Izmir city (west Turkey) A. Akgun et al. https://doi.org/10.1007/s10661-011-2352-8
26. Evaluation of landslide hazard and its impacts on hilly environment of the Nilgiris District - a geospatial approach E. Thennavan & G. Pattukandan Ganapathy https://doi.org/10.1186/s40677-019-0139-3
27. Landslide vulnerability assessment based on entropy method: a case study from Kegalle district, Sri Lanka E. Perera et al. https://doi.org/10.1007/s40808-019-00615-w
28. Quantitative multi-hazard risk assessment to buildings in the Jiuzhaigou valley, a world natural heritage site in Western China L. Wei et al. https://doi.org/10.1080/19475705.2021.2004244
29. An integrated approach for landslide susceptibility–vulnerability–risk assessment of building infrastructures in hilly regions of India A. Singh et al. https://doi.org/10.1007/s10668-020-00804-z
30. Quantitative risk assessment of the Shilongmen reservoir landslide in the Three Gorges area of China T. Zeng et al. https://doi.org/10.1007/s10064-023-03242-z
31. Quantitative risk assessment of slow-moving landslides from the viewpoint of decision-making: A case study of the Three Gorges Reservoir in China Z. Guo et al. https://doi.org/10.1016/j.enggeo.2020.105667
32. Vulnerability assessment of mountainous households to landslides: A multidimensional study in the rural Himalayas H. Mirdda et al. https://doi.org/10.1016/j.ijdrr.2022.102809
33. Probabilistic landslide risk assessment of a historic and cultural site on the north slope of Lishan Mountain, Xian, China Y. Hong et al. https://doi.org/10.1007/s12665-016-5434-7
34. A review of landslide acceptable risk and tolerable risk K. Sim et al. https://doi.org/10.1186/s40677-022-00205-6
35. Risk Assessment and Control for Geohazards at Multiple Scales: An Insight from the West Han River of Gansu Province in China Z. Ye et al. https://doi.org/10.3390/w16131764
36. Application of Industrial Risk Management Practices to Control Natural Hazards, Facilitating Risk Communication J. Lee & D. Lee https://doi.org/10.3390/ijgi7090377
37. 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
38. Quantitative risk assessment of road exposed to landslide: A novel framework combining numerical modeling and complex network theory S. Zhou et al. https://doi.org/10.1016/j.enggeo.2024.107794
39. Assessing Debris Flow Risk at a Catchment Scale for an Economic Decision Based on the LiDAR DEM and Numerical Simulation Y. Tang et al. https://doi.org/10.3389/feart.2022.821735
40. Research on the Failure Mechanism and Treatment Technology of Landslides in Typical Accumulation Bodies Along Highways in Qinghai Province Y. Yang et al. https://doi.org/10.3390/w17010034
41. 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
42. Landslides hazard, vulnerability and risk mapping in the data-poor region of northern Pakistan Y. Ullah et al. https://doi.org/10.1007/s12665-024-11858-x
43. 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
44. A review of recent earthquake-induced landslides on the Tibetan Plateau B. Zhao et al. https://doi.org/10.1016/j.earscirev.2023.104534
45. Quantifying groundwater level variability and annual slope failure probability using multi-year groundwater level observations D. Li et al. https://doi.org/10.1016/j.enggeo.2026.108584
46. A novel biopolymer-amended bentonite-based capillary barrier: performance evaluation against rainfall-induced landslides V. Gopakumar & V. Bharat https://doi.org/10.1139/cgj-2024-0715
47. A regional scale quantitative risk assessment for landslides: case of Kumluca watershed in Bartin, Turkey A. Erener & H. Düzgün https://doi.org/10.1007/s10346-012-0317-9
48. GIS-based assessment of debris flow hazards in Kulekhani Watershed, Nepal B. Paudel et al. https://doi.org/10.1007/s11069-020-03867-3
49. Use of quantitative landslide hazard and risk information for local disaster risk reduction along a transportation corridor: a case study from Nilgiri district, India P. Jaiswal & C. Westen https://doi.org/10.1007/s11069-012-0404-1
50. Regional Landslide Hazard Assessment Using Extreme Value Analysis and a Probabilistic Physically Based Approach H. Park et al. https://doi.org/10.3390/su14052628
51. 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
52. 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
53. Shallow landslide's stochastic risk modelling based on the precipitation event of August 2005 in Switzerland: results and implications P. Nicolet et al. https://doi.org/10.5194/nhess-13-3169-2013
54. Landslide Hazards, Public Intervention and Property Values – The Case of Saguenay, Quebec, Canada F. Des Rosiers & B. Tossou https://doi.org/10.7202/1115222ar
55. Spatial Landslide Hazard Prediction Using Rainfall Probability and a Logistic Regression Model S. Lee et al. https://doi.org/10.1007/s11004-014-9560-z
56. Quantitative spatial distribution model of site-specific loess landslides on the Heifangtai terrace, China Q. Zhou et al. https://doi.org/10.1007/s10346-020-01551-y
57. Rainfall-induced landslide risk: the state of the art and future needs T. Wang et al. https://doi.org/10.1007/s12665-025-12541-5
58. Empirical prediction for travel distance of channelized rock avalanches in the Wenchuan earthquake area W. Zhan et al. https://doi.org/10.5194/nhess-17-833-2017
59. Landslide risk assessment considering socionatural factors: methodology and application to Cubatão municipality, São Paulo, Brazil P. Hader et al. https://doi.org/10.1007/s11069-021-04991-4