Bryan Gard
Impact in
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
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- Random lasers and scattering media
Papers in
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- Quantum Computing Algorithms and Architecture 12
- Quantum Information and Cryptography 8
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- Quantum Mechanics and Applications 1
- Co-authors
- Jonathan P. Dowling (7 shared papers)Hwang Lee (4 shared papers)George S. Barron (3 shared papers)Robert McDermott (1 shared paper)Kurt A. Jacobs (2 shared papers)Mark E. Saffman (1 shared paper)Nicholas J. Mayhall (2 shared papers)Edwin Barnes (2 shared papers)
- Journals
- Physical Review A (6 papers)Physical Review Applied (2 papers)npj Quantum Information (1 paper)Journal of the Optical Society of America B (1 paper)AVS Quantum Science (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Bryan Gard
18 papers receiving 436 citations
Peers
Comparison fields: 5 of 20
- Artificial Intelligence 386
- Acoustics and Ultrasonics 8
- Atomic and Molecular Physics, and Optics 118
- Statistical and Nonlinear Physics 8
- Biomedical Engineering 8
Countries citing papers authored by Bryan Gard
This map shows the geographic impact of Bryan Gard'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 Bryan Gard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Gard more than expected).
Fields of papers citing papers by Bryan Gard
This network shows the impact of papers produced by Bryan Gard. 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 Bryan Gard. The network helps show where Bryan Gard may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan Gard, 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 | 2016 | 87 | |
| 2 | 2021 | 62 | |
| 3 | 2017 | 59 | |
| 4 | 2017 | 50 | |
| 5 | 2017 | 39 | |
| 6 | 2023 | 32 | |
| 7 | 2021 | 27 | |
| 8 | 2021 | 25 | |
| 9 | 2014 | 16 | |
| 10 | 2024 | 14 | |
| 11 | 2024 | 12 | |
| 12 | 2013 | 11 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2015 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2026 | 0 |
About Bryan Gard
Bryan Gard is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 19 papers that have together received 452 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (12 papers), Quantum Information and Cryptography (8 papers) and Quantum Mechanics and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (386 citations), Acoustics and Ultrasonics (8 citations), Atomic and Molecular Physics, and Optics (118 citations), Statistical and Nonlinear Physics (8 citations) and Biomedical Engineering (8 citations). Bryan Gard has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Jonathan P. Dowling, Hwang Lee, George S. Barron, Robert McDermott, Kurt A. Jacobs, Mark E. Saffman, Nicholas J. Mayhall, Edwin Barnes, Sophia E. Economou and Chun-Hua Yuan. Their work appears in journals such as Physical Review A, Physical Review Applied, npj Quantum Information, Journal of the Optical Society of America B and AVS Quantum Science.
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.