World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
56
Citations
20969
World Ranking
2752
National Ranking
835

Earth Science

D-Index
57
Citations
21001
World Ranking
2224
National Ranking
945

Overview

Jack W. Baker is affiliated with Stanford University in the United States. Their primary field of study is Engineering, with a focus on Civil and Structural Engineering, Sociology and Political Science, Global and Planetary Change, Geophysics, and Environmental Engineering.

Their research covers several main topics, including:

  • Seismic Performance and Analysis
  • Flood Risk Assessment and Management
  • Disaster Management and Resilience
  • Infrastructure Resilience and Vulnerability Analysis
  • Earthquake and Tectonic Studies
  • Structural Health Monitoring Techniques
  • Tropical and Extratropical Cyclones Research

Baker has published frequently in venues such as:

  • Earthquake Spectra
  • Natural Hazards Review
  • Earthquake Engineering & Structural Dynamics
  • Bulletin of the Seismological Society of America
  • Population Research and Policy Review

Their recent papers include:

  • Digital technologies can enhance climate resilience of critical infrastructure, 2021, Climate Risk Management
  • Quantification of disaster impacts through household well-being losses, 2020, Nature Sustainability
  • G-DIF: A geospatial data integration framework to rapidly estimate post-earthquake damage, 2020, Earthquake Spectra
  • Risk-Informed Recommendations for Managing Hydraulic Fracturing-Induced Seismicity via Traffic Light Protocols, 2020, Bulletin of the Seismological Society of America
  • Characteristics and outcomes of patients with COVID-19 at a district general hospital in Surrey, UK, 2020, Clinical Medicine

Frequent coauthors of Baker include:

  • Rodrigo Costa
  • Brendon Bradley
  • Ganyu Teng
  • Peter J. Stafford
  • Nicolas Luco

Baker has also contributed to several book publications. These include works published by RAND Corporation eBooks and Cambridge University Press, such as Novel Methods to Assess the Military's Evolving Prevention Capabilities: Development and Pilot Test of the On-Site Installation Evaluation Process (2023) and Seismic Hazard and Risk Analysis (2021).

Best Publications

  • EFFICIENT ANALYTICAL FRAGILITY FUNCTION FITTING USING DYNAMIC STRUCTURAL ANALYSIS

    Jack W. Baker

  • Quantitative Classification of Near-Fault Ground Motions Using Wavelet Analysis

    Jack W. Baker

  • Conditional Mean Spectrum: Tool for Ground-Motion Selection

    Jack W. Baker

  • Spectral shape, epsilon and record selection

    Jack W. Baker;C. Allin Cornell

  • A vector-valued ground motion intensity measure consisting of spectral acceleration and epsilon

    Jack W. Baker;C. Allin Cornell

  • NGA-West2 Research Project:

    Yousef Bozorgnia;Norman A. Abrahamson;Linda Al Atik;Timothy D. Ancheta

  • A Computationally Efficient Ground-Motion Selection Algorithm for Matching a Target Response Spectrum Mean and Variance

    Nirmal Jayaram;Ting Lin;Jack W. Baker

  • Correlation of Spectral Acceleration Values from NGA Ground Motion Models

    Jack W. Baker;Nirmal Jayaram

  • Correlation model for spatially distributed ground‐motion intensities

    Nirmal Jayaram;Jack W. Baker

  • Incorporating modeling uncertainties in the assessment of seismic collapse risk of buildings

    Abbie B. Liel;Curt B. Haselton;Gregory G. Deierlein;Jack W. Baker

  • On the assessment of robustness

    Jack W. Baker;Matthias Schubert;Michael Havbro Faber

  • Oklahoma’s recent earthquakes and saltwater disposal

    F. Rall Walsh;Mark D. Zoback

  • An Efficient Algorithm to Identify Strong-Velocity Pulses in Multicomponent Ground Motions

    Shrey K. Shahi;Jack W. Baker

  • An Empirically Calibrated Framework for Including the Effects of Near-Fault Directivity in Probabilistic Seismic Hazard Analysis

    Shrey K. Shahi;Jack W. Baker

  • Conditional spectrum-based ground motion selection. Part I: Hazard consistency for risk-based assessments

    Ting Lin;Curt B. Haselton;Jack W. Baker

  • Quantifying the Influence of Ground Motion Duration on Structural Collapse Capacity Using Spectrally Equivalent Records

    Reagan Chandramohan;Jack W. Baker;Gregory G. Deierlein

  • Correlation of Response Spectral Values for Multicomponent Ground Motions

    Jack W. Baker;C. Allin Cornell

  • Vector-valued ground motion intensity measures for probabilistic seismic demand analysis

    Jack W. Baker

  • An Improved Algorithm for Selecting Ground Motions to Match a Conditional Spectrum

    Jack W. Baker;Cynthia Lee

  • Conditional Spectrum Computation Incorporating Multiple Causal Earthquakes and Ground-Motion Prediction Models

    Ting Lin;Stephen C. Harmsen;Jack W. Baker;Nicolas Luco

  • Selecting and Scaling Earthquake Ground Motions for Performing Response-History Analyses | NIST

    Andrew Whittaker;Gail Atkinson;Jack Baker;Jonathan Bray

  • An Introduction to Probabilistic Seismic Hazard Analysis (PSHA)

    Jack W. Baker

Frequent Co-Authors

Brendon A. Bradley
Brendon A. Bradley University of Canterbury
Gregory G. Deierlein
Gregory G. Deierlein Stanford University
C. Allin Cornell
C. Allin Cornell Stanford University
Jonathan P. Stewart
Jonathan P. Stewart University of California, Los Angeles
Michael Havbro Faber
Michael Havbro Faber Aalborg University
Norman A. Abrahamson
Norman A. Abrahamson University of California, Berkeley
Paul Spudich
Paul Spudich United States Geological Survey
Thomas C. Hanks
Thomas C. Hanks United States Geological Survey
Paul Somerville
Paul Somerville Aecom (United States)
Andrew S. Whittaker
Andrew S. Whittaker University at Buffalo, State University of New York

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