80 citations as recorded by crossref.

1. The role of multi-resolution DEMs and sampling strategy uncertainty in deep learning-based debris flow susceptibility mapping H. Daud et al.
2. Predicting the Initiation Area of a Debris Flow Using Geomorphological Characteristics and a Physically-Based Model C. Song et al.
3. Debris Flow Assessment in the Gaizi-Bulunkou Section of Karakoram Highway N. Jiang et al.
4. Assessing residential buildings vulnerability on a regional scale to rainfall–earthquake-induced landslides on Mt. Umyeon, Korea B. Nguyen & T. Nguyen
5. Quantifying human risk from rainfall‐induced landslides across different return periods: A case study of Ba To, Quang Ngai, Vietnam B. Nguyen & T. Nguyen
6. The MultiRISK platform: The technical concept and application of a regional-scale multihazard exposure analysis tool M. Kappes et al.
7. Geohazard vulnerability assessment in Qiaojia seismic zones, SW China Z. Gao et al.
8. La simulation comme outil d’anticipation des crues rapides dans les petits bassins versants en Seine-Maritime J. Douvinet et al.
9. A Novel Multi-Risk Assessment Web-Tool for Evaluating Future Impacts of Global Change in Mountainous Areas G. Grandjean et al.
10. Cartographie régionale de la susceptibilité aux laves torrentielles dans les Alpes du Sud M. Bertrand et al.
11. A landscape scale model to predict post-fire debris flow impact zones T. Keeble et al.
12. Addressing accuracy challenges in machine learning for debris flow susceptibility: Insights from the Yalong River basin Z. Ming et al.
13. Assessment of landslide age, landslide persistence and human impact using airborne laser scanning digital terrain models R. Bell et al.
14. Coupled model for simulation of landslides and debris flows at local scale D. Park et al.
15. Estimating the Future Function of the Nipsa Reservoir due to Climate Change and Debris Sediment Factors F. Maris et al.
16. Flash Flood Hazard Assessment in Small Agricultural Basins Coupling GIS-Data and Cellular Automata Modelling J. Douvinet
17. Robustness evaluation of the probability-based HTCA model for simulating debris-flow run-out extent: Case study of the 2010 Hongchun event, China Y. Ma et al.
18. Simulation of event-based landslides and debris flows at watershed level S. Chiang et al.
19. ASCHFLOW - A dynamic landslide run-out model for medium scale hazard analysis B. Quan Luna et al.
20. Regional Scale Mapping of Debris-Flow Susceptibility in the Southern French Alps M. Bertrand et al.
21. Landslide consequence analysis: a region-scale indicator-based methodology A. Puissant et al.
22. A statistical framework for tree‐ring reconstruction of high‐magnitude mass movements: case study of snow avalanches in eastern canada D. Germain
23. Debris Flow Susceptibility Assessment in the Wudongde Dam Area, China Based on Rock Engineering System and Fuzzy C-Means Algorithm Y. Li et al.
24. Estimating the topographic predictability of debris flows N. Meyer et al.
25. Tree-Based Machine Learning and Flow Simulation for Debris Flow Susceptibility, Runout Propagation, and Dynamics in the Higher Himalayas H. Daud et al.
26. Application of Machine Learning to Debris Flow Susceptibility Mapping along the China–Pakistan Karakoram Highway F. Qing et al.
27. Material sources supplying debris flows in Jiangjia Gully T. Xiafei et al.
28. Risk Assessment of Debris Flow at Regional Scale considering Catchment Area in Chuncheon, Korea G. Choi et al.
29. Parameter Analysis of Flow-R Model for Physical Vulnerability Assessment of Debris Flow Disaster in Regional Scale H. Kang & Y. Kim
30. Mapping debris flow susceptibility based on watershed unit and grid cell unit: a comparison study S. Qin et al.
31. Susceptibility assessment of debris flow from Baoxing River basin in Lushan earthquake zone, China L. Liu et al.
32. Analysis and quantification of potential consequences in multirisk coastal context at different spatial scales (Normandy, France) K. Graff et al.
33. Temporal Characteristics of Debris Flow Surges J. Zhang et al.
34. Flow-R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale P. Horton et al.
35. Regional vulnerability assessment for debris flows in China—a CWS approach M. Ding et al.
36. Integrating expert opinion with modelling for quantitative multi-hazard risk assessment in the Eastern Italian Alps L. Chen et al.
37. Debris flow susceptibility assessment of Leh Valley, Ladakh, based on concepts of connectivity, propagation and evidence-based probability C. Sharma et al.
38. Spatial differentiation and risk zonation of debris flow hazards in Tajikistan W. JIA et al.
39. GIS-based numerical modelling of debris flow motion across three-dimensional terrain J. Wu et al.
40. Dynamic hazard assessment of debris flow based on TRIGRS and flow-R coupled models Y. Nie et al.
41. Regional debris flow susceptibility analysis in mountainous peri-urban areas through morphometric and land cover indicators M. Rogelis & M. Werner
42. Exploring the impact of introducing a physical model into statistical methods on the evaluation of regional scale debris flow susceptibility J. Sun et al.
43. Physically-based modelling of granular flows with Open Source GIS M. Mergili et al.
44. A multivariate statistical method for susceptibility analysis of debris flow in southwestern China F. Ji et al.
45. Debris Flow Susceptibility Evaluation in Meizoseismal Region: A Case Study in Jiuzhaigou, China Y. Li et al.
46. Susceptibility assessment of soil-water hazard chain on a small catchment in gully region of Loess Plateau: Implications for artificially-induced mountaintop removal filling valley and geoheritage H. Shu & F. Zhang
47. Debris-Flow and Debris-Flood Susceptibility Mapping for Geohazard Risk Prioritization M. Sturzenegger et al.
48. Sample size matters: investigating the effect of sample size on a logistic regression susceptibility model for debris flows T. Heckmann et al.
49. Characterization of elements at risk in the multirisk coastal context and at different spatial scales: Multi-database integration (normandy, France). K. Graff et al.
50. 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.
51. Identification and characterization of rainfall events responsible for triggering of debris flows and shallow landslides C. Iadanza et al.
52. Parameterization of a numerical 2-D debris flow model with entrainment: a case study of the Faucon catchment, Southern French Alps H. Hussin et al.
53. Modelling post‐earthquake cascading hazards: Changing patterns of landslide runout following the 2015 Gorkha earthquake, Nepal M. Kincey et al.
54. Debris flow susceptibility assessment based on an empirical approach in the central region of South Korea S. Kang & S. Lee
55. Debris flow susceptibility and propagation modeling: a deep learning and flow-R framework M. Khalid et al.
56. Regional rainfall thresholds for landslide occurrence using a centenary database T. Vaz et al.
57. Groundwater Overexploitation Causing Land Subsidence: Hazard Risk Assessment Using Field Observation and Spatial Modelling B. Huang et al.
58. Landslide initiation and runout susceptibility modeling in the context of hill cutting and rapid urbanization: a combined approach of weights of evidence and spatial multi-criteria M. Rahman et al.
59. Modeling debris flow initiation and run-out in recently burned areas using data-driven methods R. Melo & J. Zêzere
60. Combining stratigraphic forward modeling and susceptibility mapping to investigate the origin and evolution of submarine canyons L. Wan et al.
61. Quantitative Assessment of Regional Debris-Flow Risk: A Case Study in Southwest China G. Liu et al.
62. Morphometry and Debris-Flow Susceptibility Map in Mountain Drainage Basins of the Vallo di Diano, Southern Italy S. Giano et al.
63. Hydrodynamic and topography based cellular automaton model for simulating debris flow run-out extent and entrainment behavior Z. Han et al.
64. Exploring best-fit parameters for propagation modeling of shallow landslides, using Flow-R J. Palacio et al.
65. Assessing Susceptibility of Debris Flow in Southwest China Using Gradient Boosting Machine B. Di et al.
66. Establishing a GIS-based evaluation method considering spatial heterogeneity for debris flow susceptibility mapping at the regional scale S. Qin et al.
67. Assessment of rainfall-generated shallow landslide/debris-flow susceptibility and runout using a GIS-based approach: application to western Southern Alps of New Zealand T. Kritikos & T. Davies
68. Identification of landslide hazard and risk ‘hotspots’ in Europe C. Jaedicke et al.
69. Debris-Flow Susceptibility Assessment in China: A Comparison between Traditional Statistical and Machine Learning Methods H. Huang et al.
70. 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.
71. A flash flood hazard assessment in dry valleys (northern France) by cellular automata modelling J. Douvinet et al.
72. Regional-scale landslide risk assessment on Mt. Umyeon using risk index estimation B. Nguyen & Y. Kim
73. Integrating machine learning and deep learning for enhanced landslide susceptibility and propagation dynamics in Northwestern Pakistan H. Ullah et al.
74. Debris flow susceptibility mapping in alpine canyon region: a case study of Nujiang Prefecture Y. Li et al.
75. Modeling the flow behavior of a simulated municipal solid waste Z. Dai et al.
76. Debris flows modeling using geo-environmental factors: developing hybridized deep-learning algorithms Y. Li et al.
77. Comparison of Conventional Deterministic and Entropy-Based Methods for Predicting Sediment Concentration in Debris Flow Z. Zhu et al.
78. Stochastic generation of multi-site daily precipitation for applications in risk management K. Breinl et al.
79. On the criteria to create a susceptibility map to debris flow at a regional scale using Flow-R R. Pastorello et al.
80. Correlation between the rainfall, sediment recharge, and triggering of torrential flows in the Rebaixader catchment (Pyrenees, Spain) R. Pastorello et al.