Jerrad Hampton
Impact in
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- Probabilistic and Robust Engineering Design
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- Model Reduction and Neural Networks
Papers in
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- Probabilistic and Robust Engineering Design 10
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- Structural Health Monitoring Techniques 4
- Topology Optimization in Engineering 1
- Co-authors
- Alireza Doostan (9 shared papers)Subhayan De (1 shared paper)Kurt Maute (1 shared paper)Akil Narayan (1 shared paper)Manuel E. Lladser (2 shared papers)Brandon A. Jones (1 shared paper)Santiago Badia (1 shared paper)Javier Príncipe (1 shared paper)
- Journals
- Journal of Computational Physics (5 papers)PLoS ONE (2 papers)Computer Methods in Applied Mechanics and Engineering (2 papers)Structural and Multidisciplinary Optimization (1 paper)Advances in Space Research (1 paper)
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Jerrad Hampton
11 papers receiving 572 citations
Peers
Comparison fields: 5 of 66
- Statistics, Probability and Uncertainty 476
- Statistical and Nonlinear Physics 155
- Computational Theory and Mathematics 180
- Civil and Structural Engineering 220
- Computational Mathematics 5
Countries citing papers authored by Jerrad Hampton
This map shows the geographic impact of Jerrad Hampton'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 Jerrad Hampton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerrad Hampton more than expected).
Fields of papers citing papers by Jerrad Hampton
This network shows the impact of papers produced by Jerrad Hampton. 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 Jerrad Hampton. The network helps show where Jerrad Hampton may publish in the future.
Co-authors
The 8 scholars most cited alongside Jerrad Hampton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 147 | |
| 2 | 2014 | 121 | |
| 3 | 2018 | 82 | |
| 4 | 2015 | 79 | |
| 5 | 2016 | 49 | |
| 6 | 2020 | 40 | |
| 7 | 2018 | 31 | |
| 8 | 2018 | 29 | |
| 9 | 2015 | 9 | |
| 10 | 2012 | 3 | |
| 11 | 2014 | 1 | |
| 12 | 2023 | 0 |
About Jerrad Hampton
Jerrad Hampton is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Molecular Biology, having authored 12 papers that have together received 591 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (10 papers), Structural Health Monitoring Techniques (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Model Reduction and Neural Networks (2 papers), Topology Optimization in Engineering (1 paper), Wind and Air Flow Studies (1 paper), Spacecraft Dynamics and Control (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (476 citations), Statistical and Nonlinear Physics (155 citations), Computational Theory and Mathematics (180 citations), Civil and Structural Engineering (220 citations) and Computational Mathematics (5 citations). Jerrad Hampton has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Alireza Doostan, Subhayan De, Kurt Maute, Akil Narayan, Manuel E. Lladser, Brandon A. Jones, Santiago Badia and Javier Príncipe. Their work appears in journals such as Journal of Computational Physics, PLoS ONE, Computer Methods in Applied Mechanics and Engineering, Structural and Multidisciplinary Optimization and Advances in Space Research.
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.