Christopher T. Chubb
Impact in
- Computational Mathematics top 2%
- Tensor decomposition and applications
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- Advanced Thermodynamics and Statistical Mechanics
Papers in
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- Quantum Computing Algorithms and Architecture 9
- Quantum Information and Cryptography 9
- Neural Networks and Reservoir Computing 1
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- Quantum many-body systems 5
- Quantum and electron transport phenomena 3
- Quantum Mechanics and Applications 3
- Co-authors
- Jacob C. Bridgeman (1 shared paper)Marco Tomamichel (6 shared papers)Kamil Korzekwa (6 shared papers)Terry Farrelly (1 shared paper)Tobias J. Osborne (1 shared paper)Cédric Bény (1 shared paper)Steven T. Flammia (2 shared papers)Eric J. Huang (1 shared paper)
- Journals
- PRX Quantum (3 papers)Quantum (2 papers)Journal of Physics A Mathematical and Theoretical (1 paper)Physical review. A (1 paper)Physical Review Letters (1 paper)
- Partner nations
- AustraliaSwitzerlandUnited States
In The Last Decade
Christopher T. Chubb
13 papers receiving 318 citations
Peers
Comparison fields: 5 of 32
- Computational Mathematics 47
- Statistical and Nonlinear Physics 111
- Atomic and Molecular Physics, and Optics 220
- Artificial Intelligence 199
- Condensed Matter Physics 35
Countries citing papers authored by Christopher T. Chubb
This map shows the geographic impact of Christopher T. Chubb'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 Christopher T. Chubb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher T. Chubb more than expected).
Fields of papers citing papers by Christopher T. Chubb
This network shows the impact of papers produced by Christopher T. Chubb. 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 Christopher T. Chubb. The network helps show where Christopher T. Chubb may publish in the future.
Co-authors
The 14 scholars most cited alongside Christopher T. Chubb, 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 | 2017 | 214 | |
| 2 | 2018 | 30 | |
| 3 | 2019 | 16 | |
| 4 | 2018 | 14 | |
| 5 | 2023 | 13 | |
| 6 | 2019 | 8 | |
| 7 | 2024 | 7 | |
| 8 | 2015 | 6 | |
| 9 | 2017 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2019 | 2 | |
| 13 | 2016 | 2 |
About Christopher T. Chubb
Christopher T. Chubb is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Computational Mathematics, having authored 13 papers that have together received 321 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (9 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers), Quantum many-body systems (5 papers), Quantum and electron transport phenomena (3 papers), Quantum Mechanics and Applications (3 papers), Tensor decomposition and applications (1 paper) and Neural Networks and Reservoir Computing (1 paper). The work is most often cited by research in Computational Mathematics (47 citations), Statistical and Nonlinear Physics (111 citations), Atomic and Molecular Physics, and Optics (220 citations), Artificial Intelligence (199 citations) and Condensed Matter Physics (35 citations). Christopher T. Chubb has collaborated with scholars based in Australia, Switzerland and United States. Frequent co-authors include Jacob C. Bridgeman, Marco Tomamichel, Kamil Korzekwa, Terry Farrelly, Tobias J. Osborne, Cédric Bény, Steven T. Flammia, Eric J. Huang, Joseph M. Renes and Michael Vasmer. Their work appears in journals such as PRX Quantum, Quantum, Journal of Physics A Mathematical and Theoretical, Physical review. A and Physical Review Letters.
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.