59 citations as recorded by crossref.

1. Assessment of Enhanced Dempster-Shafer Theory for Uncertainty Modeling in a GIS-Based Seismic Vulnerability Assessment Model, Case Study—Tabriz City M. Delavar & M. Sadrykia 10.3390/ijgi9040195
2. Multicriteria seismic hazard assessment in Puerto Vallarta metropolitan area, Mexico K. Flores et al. 10.1007/s11069-020-04308-x
3. Non-Invasive Identification of Vulnerability Elements in Existing Buildings and Their Visualization in the BIM Model for Better Project Management: The Case Study of Cuccagna Farmhouse E. Garavaglia et al. 10.3390/app10062119
4. Robust cooperative planning of relief logistics operations under demand uncertainty: a case study on a possible earthquake in Tehran F. Akbari et al. 10.1080/23302674.2021.1914767
5. Seismic vulnerability assessment of urban buildings using the rough set theory and weighted linear combination Y. Asadi et al. 10.1007/s11629-021-6724-4
6. SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment S. Lee et al. 10.3390/app9173495
7. A Hybrid Analytic Network Process and Artificial Neural Network (ANP-ANN) Model for Urban Earthquake Vulnerability Assessment M. Alizadeh et al. 10.3390/rs10060975
8. Performance of Logistic Regression and Support Vector Machines for Seismic Vulnerability Assessment and Mapping: A Case Study of the 12 September 2016 ML5.8 Gyeongju Earthquake, South Korea J. Han et al. 10.3390/su11247038
9. Development of Vulnerability Evaluation Technology for Environmental Facilities Focused on the Water Treatment Systems in South Korea Y. Choi et al. 10.3390/su151310257
10. Assessment of the Socioeconomic Vulnerability to Seismic Hazards in the National Capital Region of India Using Factor Analysis N. Agrawal et al. 10.3390/su13179652
11. Eigenvector spatial filtering enhancing natural hazards vulnerability assessment in a susceptible urban environment: A case study of Izmir earthquake in Turkey M. Ahmadi et al. 10.1016/j.eti.2024.103666
12. Novel hybrids of adaptive neuro-fuzzy inference system (ANFIS) with several metaheuristic algorithms for spatial susceptibility assessment of seismic-induced landslide H. Moayedi et al. 10.1080/19475705.2019.1650126
13. Multi-dimensional earthquake vulnerability assessment of residential neighborhoods of Mymensingh City, Bangladesh: A spatial multi-criteria analysis based approach M. Alam & S. Haque 10.1016/j.jum.2021.09.001
14. GIS spatial modelling for seismic risk assessment based on exposure, resilience, and capacity indicators to seismic hazard: a case study of Pahang, Malaysia N. Sauti et al. 10.1080/19475705.2021.1947903
15. Multicriteria seismic hazard and social vulnerability assessment in the Puerto Vallarta metropolitan area, Mexico: toward a comprehensive seismic risk analysis D. Jaimes et al. 10.1007/s11069-022-05783-0
16. Integration of GIS and Fuzzy Multi-Criteria Decision-Making To Analysis Seismic Vulnerability of Urban Area H. Abdolazimi et al. 10.1007/s41742-025-00853-0
17. Preservation of Villages in Central Italy: Geomatic Techniques’ Integration and GIS Strategies for the Post-Earthquake Assessment F. Piccinini et al. 10.3390/ijgi11050291
18. A GIS-Based Fuzzy Decision Making Model for Seismic Vulnerability Assessment in Areas with Incomplete Data M. Sadrykia et al. 10.3390/ijgi6040119
19. A Comparative Study of MCDM Methods Integrated with Rapid Visual Seismic Vulnerability Assessment of Existing RC Structures E. Harirchian et al. 10.3390/app10186411
20. 3D City Models as a Visual Support Tool for the Analysis of Buildings Seismic Vulnerability: The Case of Lisbon P. Redweik et al. 10.1007/s13753-017-0141-x
21. Development of an integrated model for seismic vulnerability assessment of residential buildings: Application to Mahabad City, Iran H. Bahadori et al. 10.1016/j.jobe.2017.05.014
22. Earthquake vulnerability assessment through spatial multi-criteria analysis: a case study of Quetta city, Pakistan . Jamal-ud-din et al. 10.1007/s12665-023-10967-3
23. Multi-Criteria Seismic Risk Assessment Based on Combined Weight-TOPSIS Model and CF-Logistic Regression Model—A Case Study of Songyuan City, China J. Zhu et al. 10.3390/su151411216
24. Spatial earthquake vulnerability assessment by using multi-criteria decision making and probabilistic neural network techniques in Odisha, India R. Jena et al. 10.1080/10106049.2021.1992023
25. A REVIEW OF MULTI-CRITERIA DECISION-MAKING METHODS FOR BUILDING ASSESSMENT, SELECTION, AND RETROFIT P. Villalba et al. 10.3846/jcem.2024.21621
26. Seismic vulnerability assessment and reduction at a territorial scale on masonry and adobe housing by rapid vulnerability indicators: The case of Tlajomulco, Mexico A. Preciado et al. 10.1016/j.ijdrr.2019.101425
27. A Basic Study on the Indicators Development of Regional Safety of Seismic Disaster Using AHP H. Park & H. Kim 10.6107/JKHA.2020.31.6.099
28. Proposed Method and Framework for Evaluating and Calculating a Seismic Vulnerability Index of Malaysia N. Suhaiza Sauti et al. 10.1088/1755-1315/616/1/012034
29. An integrated approach based earthquake risk assessment of a seismically active and rapidly urbanizing area in Northern Pakistan A. Maqsoom et al. 10.1080/10106049.2022.2105404
30. Seismic vulnerability evaluation of educational buildings of Mymensingh city, Bangladesh using rapid visual screening and index based approach M. Alam & S. Haque 10.1108/IJDRBE-07-2019-0043
31. Earthquake vulnerability assessment of the built environment in the city of Srinagar, Kashmir Himalaya, using a geographic information system M. Fayaz et al. 10.5194/nhess-23-1593-2023
32. Responsive and reliable injured-oriented blood supply chain for disaster relief: a real case study S. Cheraghi & S. Hosseini-Motlagh 10.1007/s10479-018-3050-5
33. Seismic vulnerability assessment of urban buildings and traffic networks using fuzzy ordered weighted average Y. Asadi et al. 10.1007/s11629-017-4802-4
34. Towards Urban Resilience: A Multi-Criteria Analysis of Seismic Vulnerability in Iasi City (Romania) A. Banica et al. 10.3390/su9020270
35. Integrated GIS-AHP based assessment of earthquake vulnerability and risk for urban residential buildings in Muscat, Sultanate of Oman A. Ansari et al. 10.1038/s41598-025-17618-6
36. Fuzzy-Based Seismic Risk Prioritization of Steel School Buildings M. Zehtab Yazdi et al. 10.1061/(ASCE)NH.1527-6996.0000411
37. Improvement of Earthquake Risk Awareness and Seismic Literacy of Korean Citizens through Earthquake Vulnerability Map from the 2017 Pohang Earthquake, South Korea J. Han et al. 10.3390/rs13071365
38. Vulnerability assessment of cities to earthquake based on the catastrophe theory: a case study of Tabriz city, Iran M. Kheirizadeh Arouq et al. 10.1007/s12665-020-09103-2
39. Seismic Vulnerability Assessment and Mapping of Gyeongju, South Korea Using Frequency Ratio, Decision Tree, and Random Forest J. Han et al. 10.3390/su12187787
40. Assessment of the seismic vulnerability in an urban area with the integration of machine learning methods and GIS A. Doğan et al. 10.1007/s11069-025-07185-4
41. GIS-based seismic vulnerability mapping: a comparison of artificial neural networks hybrid models P. Yariyan et al. 10.1080/10106049.2021.1892208
42. An assessment of earthquake vulnerability by multi-criteria decision-making method M. Shadmaan & S. Popy 10.1016/j.ghm.2022.11.002
43. Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review S. Ghaffarian et al. 10.3390/rs10111760
44. Open Source Data-Based Solutions for Identifying Patterns of Urban Earthquake Systemic Vulnerability in High-Seismicity Areas A. Albulescu 10.3390/rs15051453
45. A GIS-based decision making model using fuzzy sets and theory of evidence for seismic vulnerability assessment under uncertainty (case study: Tabriz) M. Sadrykia et al. 10.3233/JIFS-17075
46. Using Artificial Neural Networks to Assess Earthquake Vulnerability in Urban Blocks of Tehran R. Afsari et al. 10.3390/rs15051248
47. A GIS-BASED MULTI-CRITERIA EVALUATION FRAMEWORK FOR UNCERTAINTY REDUCTION IN EARTHQUAKE DISASTER MANAGEMENT USING GRANULAR COMPUTING F. Khamespanah et al. 10.3846/20296991.2016.1199139
48. Sensitivity analysis in seismic loss estimation of urban infrastructures M. Eskandari et al. 10.1080/19475705.2018.1469546
49. Spatial Modelling of Urban Physical Vulnerability to Explosion Hazards Using GIS and Fuzzy MCDA Y. Ghajari et al. 10.3390/su9071274
50. Earthquake risk assessment using an integrated Fuzzy Analytic Hierarchy Process with Artificial Neural Networks based on GIS: A case study of Sanandaj in Iran P. Yariyan et al. 10.1016/j.ijdrr.2020.101705
51. A fuzzy programming model for decentralization and drone utilization in urban humanitarian relief chains A. Amirsahami et al. 10.1016/j.tre.2024.103949
52. Multi-Criteria Decision Making (MCDM) Model for Seismic Vulnerability Assessment (SVA) of Urban Residential Buildings M. Alizadeh et al. 10.3390/ijgi7110444
53. Assessing the earthquake systemic vulnerability of the urban centres in the South-East region of Romania. The tale of Galați and Brăila Cities, Romania A. Albulescu et al. 10.1080/19475705.2022.2065219
54. GIS-based seismic vulnerability assessment for the Istanbul Historical Peninsula S. Erdoğan & F. Terzi 10.47818/DRArch.2022.v3i1043
55. A robust possibilistic programming approach for blood supply chain network design in disaster relief considering congestion M. Pouraliakbari-Mamaghani et al. 10.1007/s12351-021-00648-z
56. Comparative Multi-Criteria Assessment of Hydrological Vulnerability—Case Study: Drainage Basins in the Northeast Region of Romania A. Albulescu et al. 10.3390/w14081302
57. Disaster risk evaluation using factor analysis: a case study of Chinese regions N. Chen et al. 10.1007/s11069-019-03742-w
58. Mapping seismic risk in Rangpur Division, Bangladesh: an integrated geospatial approach M. Hasan et al. 10.1007/s41324-025-00643-y
59. Risk assessment and comparison of regional natural disasters in China using clustering N. Chen et al. 10.3233/IDT-190086