Jack W. Baker
Impact in
- Civil and Structural Engineering top 0.01%
- Seismic Performance and Analysis
- Structural Health Monitoring Techniques
- Structural Response to Dynamic Loads
- Masonry and Concrete Structural Analysis
- Geotechnical Engineering and Underground Structures
- Geophysics top 0.5%
- Seismic Waves and Analysis
- earthquake and tectonic studies
Papers in
-
- Seismic Performance and Analysis 125
- Structural Health Monitoring Techniques 94
- Structural Response to Dynamic Loads 33
- Infrastructure Resilience and Vulnerability Analysis 25
- Geophysics 54
- earthquake and tectonic studies 29
- Seismic Waves and Analysis 24
- Co-authors
- C. Allin Cornell (9 shared papers)Nirmal Jayaram (8 shared papers)Ting Li Lin (8 shared papers)Gregory G. Deierlein (21 shared papers)Sanjay Kumar Shahi (2 shared papers)Curt B. Haselton (12 shared papers)Abbie B. Liel (3 shared papers)Brendon Bradley (12 shared papers)
- Journals
- Earthquake Spectra (36 papers)Earthquake Engineering & Structural Dynamics (21 papers)Bulletin of the Seismological Society of America (20 papers)Journal of the London Mathematical Society (10 papers)Mathematical Proceedings of the Cambridge Philosophical Society (8 papers)
- Partner nations
- United StatesUnited KingdomNew Zealand
In The Last Decade
Jack W. Baker
276 papers receiving 14.8k citations
Jack W. Baker's Hit Papers
Peers
Comparison fields: 5 of 178
- Civil and Structural Engineering 13.0k
- Geophysics 3.0k
- Statistics, Probability and Uncertainty 1.2k
- Building and Construction 1.6k
- Environmental Engineering 703
Countries citing papers authored by Jack W. Baker
This map shows the geographic impact of Jack W. Baker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jack W. Baker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack W. Baker more than expected).
Fields of papers citing papers by Jack W. Baker
This network shows the impact of papers produced by Jack W. Baker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jack W. Baker. The network helps show where Jack W. Baker may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack W. Baker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 293 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Efficient Analytical Fragility Function Fitting Using Dynamic Structural Analysis Hit paper breakdown → | 2014 | 1260 |
| 2 | Quantitative Classification of Near-Fault Ground Motions Using Wavelet Analysis Hit paper breakdown → | 2007 | 1009 |
| 3 | Conditional Mean Spectrum: Tool for Ground-Motion Selection Hit paper breakdown → | 2010 | 814 |
| 4 | Spectral shape, epsilon and record selection Hit paper breakdown → | 2006 | 646 |
| 5 | A vector-valued ground motion intensity measure consisting of spectral acceleration and epsilon Hit paper breakdown → | 2005 | 626 |
| 6 | NGA‐West2 Research Project Hit paper breakdown → | 2014 | 522 |
| 7 | A Computationally Efficient Ground‐Motion Selection Algorithm for Matching a Target Response Spectrum Mean and Variance Hit paper breakdown → | 2011 | 454 |
| 8 | Correlation of Spectral Acceleration Values from NGA Ground Motion Models Hit paper breakdown → | 2008 | 445 |
| 9 | Correlation model for spatially distributed ground‐motion intensities Hit paper breakdown → | 2009 | 401 |
| 10 | 2008 | 390 | |
| 11 | An Efficient Algorithm to Identify Strong-Velocity Pulses in Multicomponent Ground Motions Hit paper breakdown → | 2014 | 356 |
| 12 | Conditional spectrum‐based ground motion selection. Part I: Hazard consistency for risk‐based assessments Hit paper breakdown → | 2013 | 284 |
| 13 | 2007 | 282 | |
| 14 | 2011 | 281 | |
| 15 | 2015 | 263 | |
| 16 | Digital technologies can enhance climate resilience of critical infrastructure Hit paper breakdown → | 2021 | 253 |
| 17 | 2006 | 229 | |
| 18 | 2017 | 217 | |
| 19 | 1973 | 209 | |
| 20 | 2013 | 184 |
About Jack W. Baker
Jack W. Baker is a scholar working on Civil and Structural Engineering, Geophysics, Statistics, Probability and Uncertainty, Management Science and Operations Research and Mathematical Physics, having authored 293 papers that have together received 15.6k indexed citations. Recurring topics across this work include Seismic Performance and Analysis (125 papers), Structural Health Monitoring Techniques (94 papers), Structural Response to Dynamic Loads (33 papers), earthquake and tectonic studies (29 papers), Infrastructure Resilience and Vulnerability Analysis (25 papers), Seismic Waves and Analysis (24 papers), Probabilistic and Robust Engineering Design (23 papers) and demographic modeling and climate adaptation (21 papers). The work is most often cited by research in Civil and Structural Engineering (13.0k citations), Geophysics (3.0k citations), Statistics, Probability and Uncertainty (1.2k citations), Building and Construction (1.6k citations) and Environmental Engineering (703 citations). Jack W. Baker has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include C. Allin Cornell, Nirmal Jayaram, Ting Li Lin, Gregory G. Deierlein, Sanjay Kumar Shahi, Curt B. Haselton, Abbie B. Liel, Brendon Bradley, Michael Havbro Faber and Reagan Chandramohan. Their work appears in journals such as Earthquake Spectra, Earthquake Engineering & Structural Dynamics, Bulletin of the Seismological Society of America, Journal of the London Mathematical Society and Mathematical Proceedings of the Cambridge Philosophical Society.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.