Thomas M. Gatterman
Impact in
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- Quantum many-body systems
- Quantum and electron transport phenomena
- Topological Materials and Phenomena
- Cold Atom Physics and Bose-Einstein Condensates
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- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
Papers in
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- Quantum Computing Algorithms and Architecture 6
- Quantum Information and Cryptography 4
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- Quantum many-body systems 4
- Quantum and electron transport phenomena 2
- Co-authors
- Brian Neyenhuis (6 shared papers)Dan Gresh (6 shared papers)Kevin Gilmore (4 shared papers)Mitchell Matheny (4 shared papers)Justin A. Gerber (4 shared papers)Nathan Hewitt (5 shared papers)Michael Foss‐Feig (3 shared papers)Aaron Hankin (2 shared papers)
- Journals
- Nature Communications (1 paper)Communications Physics (1 paper)Physical review. A (1 paper)Nature Physics (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Thomas M. Gatterman
6 papers receiving 104 citations
Peers
Comparison fields: 5 of 19
- Atomic and Molecular Physics, and Optics 63
- Artificial Intelligence 64
- Computational Mathematics 1
- Statistical and Nonlinear Physics 8
- Computational Theory and Mathematics 10
Countries citing papers authored by Thomas M. Gatterman
This map shows the geographic impact of Thomas M. Gatterman'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 Thomas M. Gatterman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas M. Gatterman more than expected).
Fields of papers citing papers by Thomas M. Gatterman
This network shows the impact of papers produced by Thomas M. Gatterman. 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 Thomas M. Gatterman. The network helps show where Thomas M. Gatterman may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas M. Gatterman, 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 | 2024 | 42 | |
| 2 | 2023 | 28 | |
| 3 | 2024 | 19 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 7 | |
| 6 | 2025 | 2 |
About Thomas M. Gatterman
Thomas M. Gatterman 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 106 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (6 papers), Quantum Information and Cryptography (4 papers), Quantum many-body systems (4 papers), Quantum-Dot Cellular Automata (2 papers) and Quantum and electron transport phenomena (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (63 citations), Artificial Intelligence (64 citations), Computational Mathematics (1 citation), Statistical and Nonlinear Physics (8 citations) and Computational Theory and Mathematics (10 citations). Thomas M. Gatterman has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Brian Neyenhuis, Dan Gresh, Kevin Gilmore, Mitchell Matheny, Justin A. Gerber, Nathan Hewitt, Michael Foss‐Feig, Aaron Hankin, Mohsin Iqbal and Ashvin Vishwanath. Their work appears in journals such as Nature Communications, Communications Physics, Physical review. A, Nature Physics 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.