97 citations as recorded by crossref.

1. An assessment and identification of avalanche hazard sites in Uri sector and its surroundings on Himalayan mountain A. A. S. Mohammed et al. 10.1007/s11629-014-3274-z
2. Assessing physical vulnerability in large cities exposed to flash floods and debris flows: the case of Arequipa (Peru) J. Thouret et al. 10.1007/s11069-014-1172-x
3. Probabilistic prediction of wildfire economic losses to housing in Cyprus using Bayesian network analysis P. Papakosta et al. 10.1071/WF15113
4. Flood susceptibility assessment based on a novel random Naïve Bayes method: A comparison between different factor discretization methods X. Tang et al. 10.1016/j.catena.2020.104536
5. Snow avalanche disturbances in forest ecosystems—State of research and implications for management P. Bebi et al. 10.1016/j.foreco.2009.01.050
6. Probabilistic prediction of daily fire occurrence in the Mediterranean with readily available spatio-temporal data P. Papakosta & D. Straub 10.3832/ifor1686-009
7. Application of Bayesian networks for fire risk mapping using GIS and remote sensing data W. Dlamini 10.1007/s10708-010-9362-x
8. Investigating forest fire causes through an integrated Bayesian network and geographic information system approach Z. Konurhan et al. 10.1007/s11069-025-07304-1
9. Quantifying uncertainties in earth observation-based ecosystem service assessments A. Stritih et al. 10.1016/j.envsoft.2018.09.005
10. Addressing disturbance risk to mountain forest ecosystem services A. Stritih et al. 10.1016/j.jenvman.2021.113188
11. An elicitation process to quantify Bayesian networks for dam failure analysis A. Verzobio et al. 10.1139/cjce-2020-0089
12. Bayesian Network Based Probabilistic Modelling of Earthquake Induced Landslides T. Das & D. Choudhury 10.3208/jgssp.v10.OS-2-04
13. A software system for assessing the spatially distributed ecological risk posed by oil shipping A. Jolma et al. 10.1016/j.envsoft.2014.06.023
14. A Bayesian probabilistic framework for avalanche modelling based on observations D. Straub & A. Grêt-Regamey 10.1016/j.coldregions.2006.08.024
15. A Bayesian network model to disentangle the effects of stand and climate factors on tree mortality of Chinese fir plantations Y. Jiang et al. 10.3389/ffgc.2023.1298968
16. A spatial Bayesian network model to assess the benefits of early warning for urban flood risk to people S. Balbi et al. 10.5194/nhess-16-1323-2016
17. Bayesian optimal design of an avalanche dam using a multivariate numerical avalanche model N. Eckert et al. 10.1007/s00477-008-0287-6
18. Bayesian stochastic modelling for avalanche predetermination: from a general system framework to return period computations N. Eckert et al. 10.1007/s00477-007-0107-4
19. Dynamic process-based risk assessment of debris flow on a local scale Q. Zou et al. 10.1080/02723646.2016.1169477
20. Integrating Entropy‐Based Naïve Bayes and GIS for Spatial Evaluation of Flood Hazard R. Liu et al. 10.1111/risa.12698
21. Dynamic Bayesian Network for Probabilistic Modeling of Tunnel Excavation Processes O. Špačková & D. Straub 10.1111/j.1467-8667.2012.00759.x
22. Linking GIS-based models to value ecosystem services in an Alpine region A. Grêt-Regamey et al. 10.1016/j.jenvman.2007.05.019
23. An online platform for spatial and iterative modelling with Bayesian Networks A. Stritih et al. 10.1016/j.envsoft.2020.104658
24. Spaceborne LiDAR for characterizing forest structure across scales in the European Alps L. Mandl et al. 10.1002/rse2.330
25. On the use of Bayesian networks as a meta-modelling approach to analyse uncertainties in slope stability analysis I. Chivatá Cárdenas 10.1080/17499518.2018.1498524
26. Risk assessment of simultaneous debris flows in mountain townships P. Cui et al. 10.1177/0309133313491445
27. Risk-based optimal inspection strategies for structural systems using dynamic Bayesian networks J. Luque & D. Straub 10.1016/j.strusafe.2018.08.002
28. Evaluating the benefit of avalanche protection forest with GIS-based risk analyses—A case study in Switzerland M. Teich & P. Bebi 10.1016/j.foreco.2009.01.046
29. Bayesian network learning for natural hazard analyses K. Vogel et al. 10.5194/nhess-14-2605-2014
30. Income vulnerability of rural households in Bangladesh: a comparison between Bayesian and classical methods M. Islam et al. 10.1080/00949655.2012.656310
31. Using Bayesian networks in analyzing powerful earthquake disaster chains J. Wang et al. 10.1007/s11069-013-0631-0
32. A real-world application of Monte Carlo procedure for debris flow risk assessment B. Calvo & F. Savi 10.1016/j.cageo.2008.04.002
33. Snow Avalanche Risk Assessment using GIS-Based AHP for Bitlis Province M. AYDIN et al. 10.17798/bitlisfen.1195607
34. Probabilistic Graphical Models for Flood State Detection of Roads Combining Imagery and DEM D. Frey et al. 10.1109/LGRS.2012.2188881
35. Valuing Ecosystem Services for Sustainable Landscape Planning in Alpine Regions A. Grêt-Regamey et al. 10.1659/mrd.0951
36. Encoding Dependence in Bayesian Causal Networks J. Sulik et al. 10.3389/fenvs.2016.00084
37. 3-D numerical approach to simulate the overtopping volume caused by an impulse wave comparable to avalanche impact in a reservoir R. Gabl et al. 10.5194/nhess-15-2617-2015
38. Bayesian networks in environmental modelling P. Aguilera et al. 10.1016/j.envsoft.2011.06.004
39. A Bayesian Network for Flood Detection Combining SAR Imagery and Ancillary Data A. D'Addabbo et al. 10.1109/TGRS.2016.2520487
40. Quantitative risk and optimal design approaches in the snow avalanche field: Review and extensions N. Eckert et al. 10.1016/j.coldregions.2012.03.003
41. Practical Approach for Reliability-Based Inspection Planning of Jacket Platforms Using Bayesian Networks H. Gholami et al. 10.1061/AJRUA6.0001071
42. Hazard Assessment of Earthquake Disaster Chains Based on a Bayesian Network Model and ArcGIS L. Han et al. 10.3390/ijgi8050210
43. Risk assessment of drinking water intake contamination from agricultural activities using a Bayesian network R. Kammoun et al. 10.1371/journal.pwat.0000073
44. A comparison of two sensitivity analysis techniques based on four bayesian models representing ecosystem services provision in the Argentine Pampas F. Rositano et al. 10.1016/j.ecoinf.2017.07.005
45. Reviewing Bayesian Networks potentials for climate change impacts assessment and management: A multi-risk perspective A. Sperotto et al. 10.1016/j.jenvman.2017.07.044
46. Envisioning uncertainty in geospatial information K. Laskey et al. 10.1016/j.ijar.2009.05.011
47. Validation of extreme snow avalanches and related return periods derived from a statistical-dynamical model using tree-ring techniques R. Schläppy et al. 10.1016/j.coldregions.2013.12.001
48. A dynamic evaluation method for slope safety with monitoring information based on a hybrid intelligence algorithm C. Wang et al. 10.1016/j.compgeo.2023.105772
49. A Framework for Assessing and Managing Risks Posed by Emerging Diseases T. Walshe & M. Burgman 10.1111/j.1539-6924.2009.01305.x
50. A HAZARD MAP BASED ON 3D SNOW AVALANCHE SIMULATION K. KITOU et al. 10.2208/jscejam.74.I_203
51. Analysis of human risks due to dam-break floods—part 1: a new model based on Bayesian networks M. Peng & L. Zhang 10.1007/s11069-012-0275-5
52. A spatially explicit decision support framework for parcel- and community-level resilience assessment using Bayesian networks D. Sanderson et al. 10.1080/23789689.2021.1966164
53. Integration of Bayesian Networks with GIS for Dynamic Avalanche Hazard Assessment: NSDI Perspective İ. Yılmaz & D. Öztürk 10.21324/dacd.365255
54. A Review of Bayesian Networks for Spatial Data C. Krapu et al. 10.1145/3516523
55. Risk management in civil engineering S. Mašović et al. 10.5937/GRMK2300003M
56. Spatial bayesian approach for socio-economic assessment of pumped hydro storage S. Ali et al. 10.1016/j.rser.2023.114007
57. Modeling land use decisions with Bayesian networks: Spatially explicit analysis of driving forces on land use change E. Celio et al. 10.1016/j.envsoft.2013.10.014
58. Multi-risk assessment in mountain regions: A review of modelling approaches for climate change adaptation S. Terzi et al. 10.1016/j.jenvman.2018.11.100
59. Avalanche protection by forests — A choice experiment in the Swiss Alps R. Olschewski et al. 10.1016/j.forpol.2012.02.016
60. Urban Infrastructure Vulnerability to Climate-Induced Risks: A Probabilistic Modeling Approach Using Remote Sensing as a Tool in Urban Planning I. Rodríguez-Antuñano et al. 10.3390/infrastructures9070107
61. Spatial Analysis of Climate Risk in the West Bank, Palestine S. Alawna & X. Garcia 10.3390/world6030121
62. Good practice in Bayesian network modelling S. Chen & C. Pollino 10.1016/j.envsoft.2012.03.012
63. An Optimized Weighted Naïve Bayes Method for Flood Risk Assessment X. Tang et al. 10.1111/risa.13743
64. Bayesian Network Enhanced with Structural Reliability Methods: Methodology D. Straub & A. Der Kiureghian 10.1061/(ASCE)EM.1943-7889.0000173
65. Slope safety evaluation by integrating multi-source monitoring information M. Peng et al. 10.1016/j.strusafe.2013.08.007
66. Using spatial analysis and Bayesian network to model the vulnerability and make insurance pricing of catastrophic risk L. Li et al. 10.1080/13658816.2010.510473
67. Assessing spatial likelihood of flooding hazard using naïve Bayes and GIS: a case study in Bowen Basin, Australia R. Liu et al. 10.1007/s00477-015-1198-y
68. Automatic Detection of Regional Snow Avalanches with Scattering and Interference of C-band SAR Data J. Yang et al. 10.3390/rs12172781
69. Assessment of Catastrophic Risk Using Bayesian Network Constructed from Domain Knowledge and Spatial Data L. Li et al. 10.1111/j.1539-6924.2010.01429.x
70. Methodischer Rahmen für den Einsatz von Backcasting zur Anpassung an den Klimawandel A. Grêt-Regamey & S. Brunner 10.1080/02513625.2011.10557123
71. Bayesian-network-based system identification of spatial distribution of structural parameters S. Lee & J. Song 10.1016/j.engstruct.2016.08.029
72. Ecosystem-based disaster risk reduction in mountains C. Moos et al. 10.1016/j.earscirev.2017.12.011
73. Improved Bayesian Network-Based Risk Model and Its Application in Disaster Risk Assessment M. Li et al. 10.1007/s13753-018-0171-z
74. Avalanche protection by forests — A choice experiment in the Swiss Alps R. Olschewski et al. 10.1016/j.forpol.2011.10.002
75. Towards a holistic paradigm for long-term snow avalanche risk assessment and mitigation N. Eckert & F. Giacona 10.1007/s13280-022-01804-1
76. Integrating Bayesian networks and geographic information systems: Good practice examples S. Johnson et al. 10.1002/ieam.262
77. Improving ecosystem services modelling: Insights from a Bayesian network tools review E. Pérez-Miñana 10.1016/j.envsoft.2016.07.007
78. A Bayesian network model for prediction and analysis of possible forest fire causes V. Sevinc et al. 10.1016/j.foreco.2019.117723
79. Facing uncertainty in ecosystem services-based resource management A. Grêt-Regamey et al. 10.1016/j.jenvman.2012.07.028
80. Bayesian network for characterizing model uncertainty of liquefaction potential evaluation models H. Huang et al. 10.1007/s12205-012-1367-1
81. Dynamic Process Analysis and Hazard Prediction of Debris Flow in Eastern Qinghai-Tibet Plateau Area—A Case Study at Ridi Gully Q. Zou et al. 10.1657/AAAR0017-019
82. A Framework for the Integration of Nature-Based Solutions into Environmental Risk Management Strategies C. Accastello et al. 10.3390/su11020489
83. Stochastic Modeling of Deterioration Processes through Dynamic Bayesian Networks D. Straub 10.1061/(ASCE)EM.1943-7889.0000024
84. Multi-hazard risk assessment for roads: probabilistic versus deterministic approaches S. Oberndorfer et al. 10.5194/nhess-20-3135-2020
85. Estimating Leaf Area Index by Bayesian Linear Regression Using Terrestrial LiDAR, LAI-2200 Plant Canopy Analyzer, and Landsat TM Spectral Indices N. Ilangakoon et al. 10.1080/07038992.2015.1102629
86. Regional risk assessment of debris flows in China—An HRU-based approach Q. Zou et al. 10.1016/j.geomorph.2019.04.027
87. The Economy-Wide Value-at-Risk from the Exposure of Natural Capital to Climate Change and Extreme Natural Events: The Case of Wind Damage and Forest Recreational Services in New Zealand J. Monge & G. McDonald 10.1016/j.ecolecon.2020.106747
88. Bayesian network based probabilistic approach for uncertainty analysis of earthquake induced landslides T. Das & D. Choudhury 10.1016/j.sandf.2025.101620
89. A spatial assessment of urban waterlogging risk based on a Weighted Naïve Bayes classifier X. Tang et al. 10.1016/j.scitotenv.2018.02.172
90. Snow Avalanches in Forested Terrain: Influence of Forest Parameters, Topography, and Avalanche Characteristics on Runout Distance M. Teich et al. 10.1657/1938-4246-44.4.509
91. Reliability and effectiveness of early warning systems for natural hazards: Concept and application to debris flow warning M. Sättele et al. 10.1016/j.ress.2015.05.003
92. Comparative study of deterministic and probabilistic assessments of microbial risk associated with combined sewer overflows upstream of drinking water intakes R. Kammoun et al. 10.1016/j.envc.2023.100735
93. A new approach to assess landslide susceptibility based on slope failure mechanisms Q. Zou et al. 10.1016/j.catena.2021.105388
94. A review of graphical methods to map the natural hazard-to-wellbeing risk chain in a socio-ecological system J. Monge et al. 10.1016/j.scitotenv.2021.149947
95. A GIS plug-in for Bayesian belief networks: Towards a transparent software framework to assess and visualise uncertainties in ecosystem service mapping D. Landuyt et al. 10.1016/j.envsoft.2015.05.002
96. A model to predict ordinal suitability using sparse and uncertain data R. Whitsed et al. 10.1016/j.apgeog.2011.06.016
97. Landslide hazards mapping using uncertain Naïve Bayesian classification method Y. Mao et al. 10.1007/s11771-015-2891-1