104 citations as recorded by crossref.

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2. Analysis of instabilities in the Basque Coast Geopark coastal cliffs for its environmentally friendly management (Basque-Cantabrian basin, northern Spain) T. Morales et al. https://doi.org/10.1016/j.enggeo.2021.106023
3. A method for full three-dimensional kinematic analysis of steep rock walls based on high-resolution point cloud data G. Gigli et al. https://doi.org/10.1016/j.ijrmms.2022.105178
4. Assessing the predictive capability of several machine learning algorithms to forecast snow avalanches using numerical weather prediction model in eastern Canada F. Gauthier et al. https://doi.org/10.5194/nhess-25-5033-2025
5. Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity M. Bordoni et al. https://doi.org/10.5194/nhess-18-1735-2018
6. Natural hazard events affecting transportation networks in Switzerland from 2012 to 2016 J. Voumard et al. https://doi.org/10.5194/nhess-18-2093-2018
7. Landslide risk on photovoltaic power stations under climate change C. Park et al. https://doi.org/10.1080/19475705.2023.2286904
8. Landslide monitoring and maintenance plan along infrastructure: the example of the Maratea major rockfall (Southern Italy) A. Santo & L. Massaro https://doi.org/10.1007/s10346-024-02409-3
9. Potential Rockfall Source Identification and Hazard Assessment in High Mountains (Maoyaba Basin) of the Tibetan Plateau J. Sun et al. https://doi.org/10.3390/rs15133273
10. Brief communication: On direct impact probability of landslides on vehicles P. Nicolet et al. https://doi.org/10.5194/nhess-16-995-2016
11. Dynamic rockfall risk analysis X. Wang et al. https://doi.org/10.1016/j.enggeo.2020.105622
12. A method for rockfall risk quantification and optimal arrangement of protection structures along a road H. Kanno et al. https://doi.org/10.1016/j.enggeo.2023.107004
13. Engineering Application and Prediction of the Influence Area of the Rockfall Hazards X. Liao et al. https://doi.org/10.1155/2020/1067215
14. Rock mass geomechanical properties to improve rockfall susceptibility assessment: a case study in Valchiavenna (SO) G. Bajni et al. https://doi.org/10.1088/1755-1315/833/1/012180
15. Multi-hazard risk assessment for roads: probabilistic versus deterministic approaches S. Oberndorfer et al. https://doi.org/10.5194/nhess-20-3135-2020
16. Boulder falls in Hong Kong — insights from power law relationships and supervised machine learning L. Wong & Y. Zhou https://doi.org/10.1007/s10346-021-01696-4
17. A mixed quantitative approach to evaluate rockfall risk and the maximum allowable traffic on road infrastructure M. Marchelli et al. https://doi.org/10.1080/17499518.2021.2010097
18. Recommendations for the quantitative analysis of landslide risk J. Corominas et al. https://doi.org/10.1007/s10064-013-0538-8
19. Quantitative analysis of risk from fragmental rockfalls J. Corominas et al. https://doi.org/10.1007/s10346-018-1087-9
20. Integrated approach to evaluate unstable rocky slopes: case study of Aqabat Al-Sulbat road in Aseer Province, Saudi Arabia K. Khedher et al. https://doi.org/10.1007/s11356-022-20130-3
21. Brief communication: Remotely piloted aircraft systems for rapid emergency response: road exposure to rockfall in Villanova di Accumoli (central Italy) M. Santangelo et al. https://doi.org/10.5194/nhess-19-325-2019
22. Contribution of High-Resolution Virtual Outcrop Models for the Definition of Rockfall Activity and Associated Hazard Modelling C. Robiati et al. https://doi.org/10.3390/land12010191
23. Integrating machine learning and deep learning for enhanced landslide susceptibility and propagation dynamics in Northwestern Pakistan H. Ullah et al. https://doi.org/10.1007/s10064-026-04940-0
24. Landslide susceptibility evaluation and hazard zonation techniques – a review L. Shano et al. https://doi.org/10.1186/s40677-020-00152-0
25. Rockfall analysis based on UAV technology in Kazıklıali Gorge, Aladağlar (Taurus Mountains, Turkey) M. Utlu et al. https://doi.org/10.30897/ijegeo.740963
26. Holistic rockfall risk assessment in high mountain areas affected by seismic activity: Application to the Uspallata valley, Central Andes, Chile M. Farvacque et al. https://doi.org/10.1111/risa.14239
27. A catastrophic high-speed train crash caused by a small-scale debris flow in China S. Zhang et al. https://doi.org/10.1016/j.trgeo.2023.101070
28. On the criteria to create a susceptibility map to debris flow at a regional scale using Flow-R R. Pastorello et al. https://doi.org/10.1007/s11629-016-4077-1
29. Rockfall Modelling in Forested Areas: The Role of Digital Terrain Model Grid Cell Size B. Žabota et al. https://doi.org/10.3390/app11041461
30. Évaluation quantitative du risque rocheux : de la formalisation à l’application sur les zones urbanisées ou urbanisables M. Farvacque et al. https://doi.org/10.1051/geotech/2020016
31. Evolution of rock falls in the Northern part of the Peloponnese, Greece V. Zygouri & I. Koukouvelas https://doi.org/10.1088/1755-1315/26/1/012043
32. Quantile-based individual risk measures for rockfall-prone areas M. Farvacque et al. https://doi.org/10.1016/j.ijdrr.2020.101932
33. Landslide-risk zonation along mountainous highway considering rock mass classification S. Qi et al. https://doi.org/10.1007/s12665-015-4453-0
34. Rockfall Hazard Assessment in Volcanic Regions Based on ISVS and IRVS Geomechanical Indices L. González de Vallejo et al. https://doi.org/10.3390/geosciences10060220
35. Debris-Flow and Debris-Flood Susceptibility Mapping for Geohazard Risk Prioritization M. Sturzenegger et al. https://doi.org/10.2113/EEG-D-20-00006
36. From a phenomenological to a geomechanical approach to landslide hazard analysis F. Cotecchia et al. https://doi.org/10.1080/19648189.2014.968744
37. Rockfall susceptibility assessment along M-2 Motorway in Salt Range, Pakistan S. Mahmood et al. https://doi.org/10.1016/j.jappgeo.2024.105312
38. Brief Communication: The use of an unmanned aerial vehicle in a rockfall emergency scenario D. Giordan et al. https://doi.org/10.5194/nhess-15-163-2015
39. Coastal hazards from slope mass movements: Analysis and management approach on the Barlavento Coast, Algarve, Portugal S. Teixeira https://doi.org/10.1016/j.ocecoaman.2014.10.008
40. Multi-Hazard Exposure Mapping Using Machine Learning Techniques: A Case Study from Iran O. Rahmati et al. https://doi.org/10.3390/rs11161943
41. Automated snow avalanche release area delineation – validation of existing algorithms and proposition of a new object-based approach for large-scale hazard indication mapping Y. Bühler et al. https://doi.org/10.5194/nhess-18-3235-2018
42. Quantitative hazard analysis and mitigation measures of rockfall in a high-frequency rockfall region N. Jiang et al. https://doi.org/10.1007/s10064-021-02137-1
43. Definition of an Operative Methodology for the Management of Rockfalls along with the Road Network D. Giordan et al. https://doi.org/10.3390/su13147669
44. Comparing Flow-R, Rockyfor3D and RAMMS to Rockfalls from the Mel de la Niva Mountain: A Benchmarking Exercise F. Noël et al. https://doi.org/10.3390/geosciences13070200
45. Quantitative Rockfall Hazard Assessment of the Norwegian Road Network and Residences at an Indicative Level from Simulated Trajectories F. Noël & S. Nordang https://doi.org/10.3390/rs17050819
46. Leveraging Internet News-Based Data for Rockfall Hazard Susceptibility Assessment on Highways K. Nguyen et al. https://doi.org/10.3390/fi16080299
47. Rockfall hazard assessment along a road on the Peloritani Mountains (northeastern Sicily, Italy) G. Pappalardo et al. https://doi.org/10.5194/nhess-14-2735-2014
48. Joint use of field investigations and 2D simulations of rockfall trajectories to calibrate surface parameters and generate local propagation maps M. Farvacque et al. https://doi.org/10.1007/s11069-026-08037-5
49. Three-dimensional simulations of rockfalls in Ischia, Southern Italy, and preliminary susceptibility zonation M. Alvioli et al. https://doi.org/10.1080/19475705.2022.2131472
50. VERIFICATION OF SPECIFICATION METHOD OF FALLING ROCK GENERATION SOURCE USING HIGHLIGHTING MAP OF MICROGEOMORPHOLOGY CREATED BY HIGH DENSITY AERIAL LASER DATA M. MIYASHITA et al. https://doi.org/10.2208/jscejcei.73.I_92
51. Comparison of rockfall susceptibility assessment at local and regional scale: a case study in the north of Beijing (China) X. Wang et al. https://doi.org/10.1007/s12665-014-3718-3
52. Rockfall Investigation and Hazard Assessment from Nang County to Jiacha County in Tibet H. Liu et al. https://doi.org/10.3390/app10010247
53. 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
54. Flow-R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale P. Horton et al. https://doi.org/10.5194/nhess-13-869-2013
55. A Remote-Sensing-Based Method Using Rockfall Inventories for Hazard Mapping at the Community Scale in the Arequipa Region of Peru C. Grady et al. https://doi.org/10.3390/rs16193732
56. 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
57. Application of Limit Equilibrium Analysis and Numerical Modeling in a Case of Slope Instability F. Sengani & F. Mulenga https://doi.org/10.3390/su12218870
58. Regional-scale controls on the spatial activity of rockfalls (Turtmann Valley, Swiss Alps) — A multivariate modeling approach K. Messenzehl et al. https://doi.org/10.1016/j.geomorph.2016.01.008
59. A machine learning framework for multi-hazards modeling and mapping in a mountainous area S. Yousefi et al. https://doi.org/10.1038/s41598-020-69233-2
60. Uncertainty assessment in quantitative rockfall risk assessment X. Wang et al. https://doi.org/10.1007/s10346-013-0447-8
61. Assessing the annual risk of vehicles being hit by a rainfall-induced landslide: a case study on Kennedy Road in Wan Chai, Hong Kong M. Lu et al. https://doi.org/10.5194/nhess-20-1833-2020
62. Assessing the relationship between weather conditions and rockfall using terrestrial laser scanning to improve risk management T. Birien & F. Gauthier https://doi.org/10.5194/nhess-23-343-2023
63. Hazard mapping related to structurally controlled landslides in Southern Leyte, Philippines P. Luzon et al. https://doi.org/10.5194/nhess-16-875-2016
64. Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling Á. Török et al. https://doi.org/10.5194/nhess-18-583-2018
65. Evolution of rockfall risk following changes in hazard and exposure: Application to a road section in the Zermatt valley, Swiss Alps E. Meisburger et al. https://doi.org/10.1016/j.geomorph.2026.110190
66. Global warming impacts on rockfall frequency and magnitude due to changing frost distribution and frost cracking effectiveness T. Birien et al. https://doi.org/10.1002/esp.5913
67. Quantitative rockfall risk assessment for an important road by means of the rockfall risk management (RO.MA.) method P. Budetta et al. https://doi.org/10.1007/s10064-015-0798-6
68. Modified “Rockfall Hazard Rating System for Pakistan (RHRSP)”: An Application for Hazard and Risk Assessment along the Karakoram Highway, Northwest Pakistan J. Tanoli et al. https://doi.org/10.3390/app12083778
69. Modelling post‐earthquake cascading hazards: Changing patterns of landslide runout following the 2015 Gorkha earthquake, Nepal M. Kincey et al. https://doi.org/10.1002/esp.5501
70. Dynamic risk simulation to assess natural hazards risk along roads J. Voumard et al. https://doi.org/10.5194/nhess-13-2763-2013
71. Integrated risk assessment due to slope instabilities in the roadway network of Gipuzkoa, Basque Country O. Mavrouli et al. https://doi.org/10.5194/nhess-19-399-2019
72. Mechanisms of landslides induced by extreme rainfall in folded mountains: Case study of Zhenba, July 1, 2023 W. Zheng et al. https://doi.org/10.1016/j.geomorph.2025.110115
73. Integrated rockfall hazard and risk assessment along highways: An example for Jiuzhaigou area after the 2017 Ms 7.0 Jiuzhaigou earthquake, China X. Li et al. https://doi.org/10.1007/s11629-018-5355-x
74. A novel GIS-based ensemble technique for rangeland downward trend mapping as an ecological indicator change S. Yousefi et al. https://doi.org/10.1016/j.ecolind.2020.106591
75. Combining Ground Based Remote Sensing Tools for Rockfalls Assessment and Monitoring: The Poggio Baldi Landslide Natural Laboratory S. Romeo et al. https://doi.org/10.3390/s21082632
76. Rockfall in the Port Hills of Christchurch: Seismic and non‐seismic fatality risk on roads S. Unterrader et al. https://doi.org/10.1111/nzg.12170
77. Mapping release and propagation areas of permafrost-related rock slope failures in the French Alps: A new methodological approach at regional scale M. Cathala et al. https://doi.org/10.1016/j.geomorph.2023.109032
78. Risk assessment of disaster chain in multi-seam mining beneath gully topography Y. Liu et al. https://doi.org/10.1016/j.ijdrr.2024.104750
79. Characterizing geologic and climatic controls on rockfall hazards using an inventory and integrated kinematic and runout model: Skagway, Alaska, USA I. Wachino et al. https://doi.org/10.5194/nhess-26-1435-2026
80. Semi-quantitative method to identify the vulnerable areas in terms of building aggregation for probable landslide runout at the regional scale: a case study from Soacha Province, Colombia A. Pradhan et al. https://doi.org/10.1007/s10064-019-01533-y
81. Integrating field measurements, a geomorphological map and stochastic modelling to estimate the spatially distributed rockfall sediment budget of the Upper Kaunertal, Austrian Central Alps T. Heckmann et al. https://doi.org/10.1016/j.geomorph.2015.07.003
82. Geological risk assessment for the rapid development area of the Erhai Basin L. Yang et al. https://doi.org/10.1016/j.pce.2015.10.012
83. Effect of spatial variability of earthquake ground motions on the reliability of road system P. Ering & G. Sivakumar Babu https://doi.org/10.1016/j.soildyn.2020.106207
84. A Spatial Ensemble Model for Rockfall Source Identification From High Resolution LiDAR Data and GIS A. Fanos & B. Pradhan https://doi.org/10.1109/ACCESS.2019.2919977
85. Interpreting rockfall activity on an outcrop–talus slope system in the southern Japanese Alps using an integrated survey approach F. Imaizumi et al. https://doi.org/10.1016/j.geomorph.2020.107456
86. How is rockfall risk impacted by land-use and land-cover changes? Insights from the French Alps M. Farvacque et al. https://doi.org/10.1016/j.gloplacha.2019.01.009
87. Pros and Cons of Structure for Motion Embarked on a Vehicle to Survey Slopes along Transportation Lines Using 3D Georeferenced and Coloured Point Clouds J. Voumard et al. https://doi.org/10.3390/rs10111732
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89. Quantitative risk assessment in a rockfall-prone area: the case study of the Crolles municipality (Massif de la Chartreuse, French Alps) M. Farvacque et al. https://doi.org/10.4000/geomorphologie.12778
90. Spatiotemporal visibility characteristics impacted by forest and land fire over airports in sumatera and borneo Island, Indonesia H. Ismanto et al. https://doi.org/10.2478/quageo-2019-0024
91. Empirical assessment of rockfall and debris flow risk along the Karakoram Highway, Pakistan S. Ali et al. https://doi.org/10.1007/s11069-021-04549-4
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94. From rockfall source area identification to susceptibility zonation: a proposed workflow tested on El Hierro (Canary Islands, Spain) R. Sarro et al. https://doi.org/10.5194/nhess-25-1459-2025
95. Evaluation of rockfall hazard based on UAV technology and 3D Rockfall Simulations M. Utlu et al. https://doi.org/10.30897/ijegeo.1323768
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