World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
56
Citations
20969
World Ranking
2754
National Ranking
836

Jack W. Baker publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Jack W. Baker sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 195 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Jack W. Baker D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Jack W. Baker sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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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