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Miguel Tobias Esparza

Observed names: Esparza, Miguel, Esparza, Miguel Tobias, Miguel Esparza
ORCID: 0000-0002-4020-9699
Observed ORCID: 0000-0002-4020-9699
OpenAlex ID: A5002674519
Spatial biases in crowdsourced data: Social media content attention concentrates on populous areas in disasters
2020 · Chao Fan, Miguel Esparza, et al. · Computers Environment and Urban Systems · 85
Disruption Tolerance Index for determining household susceptibility to infrastructure service disruptions
2021 · Amir Esmalian, Natalie Coleman, et al. · International Journal of Disaster Risk Reduction · 24
Examining data imbalance in crowdsourced reports for improving flash flood situational awareness
2023 · Miguel Esparza, Hamed Farahmand, et al. · International Journal of Disaster Risk Reduction · 20
AI meets natural hazard risk: A nationwide vulnerability assessment of data centers to natural hazards and power outages
2025 · Miguel Esparza, Bo Li, et al. · International Journal of Disaster Risk Reduction · 12
Improving Flood Damage Estimation by Integrating Property Elevation Data
2024 · Miguel Esparza, Yu-Hsuan Ho, et al. · International Journal of Disaster Risk Reduction · 11
Analyzing common social and physical features of flash-flood vulnerability in urban areas
2025 · Natalie Coleman, Allison Clarke, et al. · International Journal of Disaster Risk Reduction · 10
Enhancing inundation monitoring of road networks using crowdsourced flood reports
2024 · Miguel Esparza, Hamed Farahmand, et al. · Urban Informatics · 7
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Automated Wildfire Damage Assessment from Multi-view Ground-level Imagery Via Vision Language Models
2025 · Miguel Tobias Esparza, Archit Gupta, et al. · SSRN Electronic Journal · 6
Examining Spatial Clusters for Identifying Risk Hotspots of Communities Susceptible to Flood-Induced Transportation Disruptions
2022 · Miguel Esparza, Amir Esmalian, et al. · ASCE International Conference on Computing in Civil Engineering (i3CE) · 5
A graph neural network and decision tree modeling approach for predicting wildfire-induced building damage
2026 · Miguel Esparza, Vamshi Battala, et al. · Computer-Aided Civil and Infrastructure Engineering · 4
Modular Deep Learning Mechanisms for Auditable Next-Day Wildfire Spread Prediction
2026 · Esparza, Miguel, Ayanzadeh, Aydin, et al. · arXiv (Cornell University) · 1
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FireGraphNet: Sub-daily wildfire spread prediction with directed graph neural networks
2026 · Kanmani, Aiyshwariya Paulvannan, Esparza, Miguel, et al. · arXiv (Cornell University)
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Recov-Vision: Linking street view imagery and vision-language models for post-disaster recovery
2026 · Sebastian, Antonia, Mostafavi, Ali, et al. · UNC Libraries
Recov-Vision: Linking street view imagery and vision-language models for post-disaster recovery
2026 · Yiming Xiao, Archit Gupta, et al. · International Journal of Disaster Risk Reduction
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Advancing Flood Resilience Through AI‐Enhanced Mapping Strategies
2026 · Russell Blessing, Miguel Esparza, et al. · Wiley eBooks
Unraveling Spatial Interdependence of Residential Damage and Traffic Disruption in Urban Flooding
2025 · Miguel Tobias Esparza, Yiming Xiao, et al. · SSRN Electronic Journal
Works count: 17
Citation count: 185
H-index: 7
I10-index: 6
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