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Jack W Baker
Jack W Baker
Civil and Environmental Engineering, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Year
Uncovering Drivers of Atmospheric River Flood Damage Using Interpretable Machine Learning
C Bowers, KA Serafin, JW Baker
Natural Hazards Review 25 (3), 04024022, 2024
2024
Sharing data and code facilitates reproducible and impactful research
JW Baker, H Crowley, D Wald, E Rathje, SK Au, BA Bradley, H Burton, ...
Earthquake Spectra, 87552930241259397, 2024
2024
Modeling post-disaster recovery: Accounting for rental and multi-family housing
E Mongold, R Costa, Á Zsarnóczay, JW Baker
Earthquake Spectra 40 (2), 1353-1375, 2024
2024
Dynamic Infrastructure Systems: advancing sustainable urbanization and climate change
M Sánchez-Silva, JW Baker
Environment Systems and Decisions, 1-11, 2024
2024
A methodology to estimate postdisaster unmet housing needs using limited data: Application to the 2017 California wildfires
R Costa, JW Baker
Risk Analysis 44 (4), 850-867, 2024
62024
Elevated collapse risk based on decaying aftershock hazard and damaged building fragilities
AM Hulsey, FA Galvis, JW Baker, GG Deierlein
Earthquake Spectra 40 (1), 674-704, 2024
2024
Household Displacement and Return in Disasters: A Review
N Paul, C Galasso, J Baker
Natural Hazards Review 25 (1), 03123006, 2024
2024
A model for partially dependent component damage fragilities in seismic risk analysis
JW Baker, E Almeter, D Cook, AB Liel, C Haselton
Earthquake Spectra 40 (1), 609-628, 2024
12024
Temporal compounding increases economic impacts of atmospheric rivers in California
C Bowers, KA Serafin, JW Baker
Science Advances 10 (3), eadi7905, 2024
22024
Evaluation of economic disruptions from the 2016 Kumamoto Earthquake using a refined adaptive regional input-output model
O Issa, T Zhu, M Markhvida, R Costa, JW Baker
Engineering Archive, 2024
12024
Temporal Compounding Amplifies Hydrologic and Economic Impacts of Atmospheric Rivers in California
C Bowers, K Serafin, KC Tseng, JW Baker
AGU23, 2023
2023
Participatory Scenario-based Approaches for Addressing Risk in Multi-hazard Contexts
JE Rodgers, JW Baker, HD Stenner, J Jomo, NM Campbell, SA Sarpy, ...
AGU23, 2023
2023
Atmospheric river sequences as indicators of hydrologic hazard in historical reanalysis and GFDL SPEAR future climate projections
C Bowers, KA Serafin, KC Tseng, JW Baker
Earth's Future 11 (12), e2023EF003536, 2023
22023
Evaluating the effectiveness of ground motion intensity measures through the lens of causal inference
HV Burton, JW Baker
Earthquake Engineering & Structural Dynamics 52 (15), 4842-4864, 2023
32023
Optimal Bridge Retrofitting Selection for Seismic Risk Management Using Genetic Algorithms and Neural Network–Based Surrogate Models
R Silva-Lopez, JW Baker
Journal of Infrastructure Systems 29 (4), 04023030, 2023
22023
Effect of near-fault directivity pulses on ground-motion intensity measure correlations from the NGA-West2 data set
K Tarbali, BA Bradley, JW Baker
Earthquake Spectra 39 (4), 2263-2280, 2023
22023
Simulation‐based methodology to identify damage indicators and safety thresholds for post‐earthquake evaluation of structures
FA Galvis, AM Hulsey, JW Baker, GG Deierlein
Earthquake Engineering & Structural Dynamics 52 (11), 3455-3476, 2023
22023
Machine‐learning‐based optimization framework to support recovery‐based design
O Issa, R Silva‐Lopez, JW Baker, HV Burton
Earthquake Engineering & Structural Dynamics 52 (11), 3256-3280, 2023
42023
Accounting for path and site effects in spatial ground-motion correlation models using Bayesian inference
L Bodenmann, JW Baker, B Stojadinović
Natural Hazards and Earth System Sciences 23 (7), 2387-2402, 2023
82023
Modeling future economic costs and interdependent industry recovery after earthquakes
M Markhvida, JW Baker
Earthquake Spectra 39 (2), 914-937, 2023
52023
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Articles 1–20