Andrew Tranter
- Artificial Intelligence top 5%
- Quantum Information and Cryptography 6
- Quantum Computing Algorithms and Architecture 6
- Neural Networks and Reservoir Computing 1
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- Quantum and electron transport phenomena 3
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- Molecular spectroscopy and chirality 2
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- Innovations in Medical Education 1
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- Global Health Workforce Issues 1
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- Interprofessional Education and Collaboration 1
- Co-authors
- Peter J. LovePeter V. CoveneyFlorian MintertWilliam KirbyAkimasa MiyakeJacob T. SeeleyJarrod R. McCleanRyan Babbush
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Journals
- Journal of Chemical Theory and Computation (2 papers)International Journal of Quantum Chemistry (1 paper)Postgraduate Medical Journal (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Andrew Tranter
7 papers receiving 251 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 232
- Atomic and Molecular Physics, and Optics 172
- Computational Theory and Mathematics 43
- Hardware and Architecture 9
- Condensed Matter Physics 13
Countries citing papers authored by Andrew Tranter
This map shows the geographic impact of Andrew Tranter'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 Andrew Tranter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Tranter more than expected).
Fields of papers citing papers by Andrew Tranter
This network shows the impact of papers produced by Andrew Tranter. 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 Andrew Tranter. The network helps show where Andrew Tranter may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Andrew Tranter, 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 | 2023 | 8 | |
| 2 | 2023 | 11 | |
| 3 | 2020 | 72 | |
| 4 | 2020 | 1 | |
| 5 | 2020 | 1 | |
| 6 | 2018 | 83 | |
| 7 | 2015 | 80 |
About Andrew Tranter
Andrew Tranter is a scholar working on Artificial Intelligence, Emergency Medical Services and Spectroscopy, having authored 7 papers that have together received 256 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (6 papers), Quantum Computing Algorithms and Architecture (6 papers), Quantum and electron transport phenomena (3 papers), Molecular spectroscopy and chirality (2 papers), Innovations in Medical Education (1 paper), Global Health Workforce Issues (1 paper), Interprofessional Education and Collaboration (1 paper) and Neural Networks and Reservoir Computing (1 paper). The work is most often cited by research in Artificial Intelligence (232 citations), Atomic and Molecular Physics, and Optics (172 citations) and Computational Theory and Mathematics (43 citations). Andrew Tranter has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Peter J. Love, Peter V. Coveney, Florian Mintert, William Kirby, Akimasa Miyake, Jacob T. Seeley, Jarrod R. McClean, Ryan Babbush, Sarah E. Sofia and Frank K. Wilhelm. Their work appears in journals such as Journal of Chemical Theory and Computation, International Journal of Quantum Chemistry and Postgraduate Medical Journal.
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.