Ben Tregenna
Impact in
- Artificial Intelligence top 2%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
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- Quantum Mechanics and Applications
- Quantum and electron transport phenomena
- Quantum optics and atomic interactions
- Cold Atom Physics and Bose-Einstein Condensates
Papers in
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- Quantum Computing Algorithms and Architecture 6
- Quantum Information and Cryptography 4
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- Quantum and electron transport phenomena 2
- Quantum Mechanics and Applications 2
- Co-authors
- P. L. Knight (4 shared papers)Viv Kendon (2 shared papers)Almut Beige (3 shared papers)Daniel Braun (1 shared paper)W. Flanagan (1 shared paper)Stephen D. Bartlett (1 shared paper)Barry C. Sanders (1 shared paper)
- Journals
- Physical Review A (3 papers)New Journal of Physics (1 paper)Physical Review Letters (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United KingdomGermanyAustralia
In The Last Decade
Ben Tregenna
6 papers receiving 830 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 793
- Atomic and Molecular Physics, and Optics 562
- Computational Theory and Mathematics 253
- Statistical and Nonlinear Physics 42
- Acoustics and Ultrasonics 2
Countries citing papers authored by Ben Tregenna
This map shows the geographic impact of Ben Tregenna'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 Ben Tregenna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Tregenna more than expected).
Fields of papers citing papers by Ben Tregenna
This network shows the impact of papers produced by Ben Tregenna. 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 Ben Tregenna. The network helps show where Ben Tregenna may publish in the future.
Co-authors
The 7 scholars most cited alongside Ben Tregenna, 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 | 2000 | 374 | |
| 2 | 2003 | 177 | |
| 3 | 2003 | 152 | |
| 4 | 2003 | 129 | |
| 5 | 2002 | 23 | |
| 6 | Quantum Computing in the Dark | 2001 | 1 |
About Ben Tregenna
Ben Tregenna is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 856 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (6 papers), Quantum Information and Cryptography (4 papers), Quantum-Dot Cellular Automata (2 papers), Quantum and electron transport phenomena (2 papers) and Quantum Mechanics and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (793 citations), Atomic and Molecular Physics, and Optics (562 citations), Computational Theory and Mathematics (253 citations), Statistical and Nonlinear Physics (42 citations) and Acoustics and Ultrasonics (2 citations). Ben Tregenna has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include P. L. Knight, Viv Kendon, Almut Beige, Daniel Braun, W. Flanagan, Stephen D. Bartlett and Barry C. Sanders. Their work appears in journals such as Physical Review A, New Journal of Physics, Physical Review Letters and arXiv (Cornell University).
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.