Mitchell Matheny
Impact in
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- Quantum many-body systems
- Quantum and electron transport phenomena
- Topological Materials and Phenomena
- Spectroscopy and Quantum Chemical Studies
Papers in ⓘ
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- Quantum Computing Algorithms and Architecture 4
- Quantum Information and Cryptography 3
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- Quantum many-body systems 3
- Quantum and electron transport phenomena 1
- Co-authors
- Kevin Gilmore (4 shared papers)Brian Neyenhuis (4 shared papers)Justin A. Gerber (4 shared papers)Dan Gresh (4 shared papers)Aaron Hankin (2 shared papers)Michael Foss‐Feig (3 shared papers)Ashvin Vishwanath (1 shared paper)Ruben Verresen (1 shared paper)
- Journals
- Science Advances (1 paper)Physical review. D (1 paper)Physical Review Letters (1 paper)Nature Physics (1 paper)Communications Physics (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Mitchell Matheny
4 papers receiving 82 citations
Peers
Comparison fields: 5 of 19
- Atomic and Molecular Physics, and Optics 53
- Computational Mathematics 1
- Artificial Intelligence 53
- Statistical and Nonlinear Physics 9
- Computational Theory and Mathematics 10
Countries citing papers authored by Mitchell Matheny
This map shows the geographic impact of Mitchell Matheny'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 Mitchell Matheny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Matheny more than expected).
Fields of papers citing papers by Mitchell Matheny
This network shows the impact of papers produced by Mitchell Matheny. 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 Mitchell Matheny. The network helps show where Mitchell Matheny may publish in the future.
Co-authors
The 24 scholars most cited alongside Mitchell Matheny, 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 | 38 | |
| 2 | 2023 | 27 | |
| 3 | 2024 | 16 | |
| 4 | 2024 | 4 | |
| 5 | 2022 | 0 |
About Mitchell Matheny
Mitchell Matheny is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Nuclear and High Energy Physics and Infectious Diseases, having authored 5 papers that have together received 85 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (4 papers), Quantum many-body systems (3 papers), Quantum Information and Cryptography (3 papers), Dark Matter and Cosmic Phenomena (1 paper), Quantum and electron transport phenomena (1 paper), Quantum-Dot Cellular Automata (1 paper), Particle Detector Development and Performance (1 paper) and Neutrino Physics Research (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (53 citations), Computational Mathematics (1 citation), Artificial Intelligence (53 citations), Statistical and Nonlinear Physics (9 citations) and Computational Theory and Mathematics (10 citations). Mitchell Matheny has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Kevin Gilmore, Brian Neyenhuis, Justin A. Gerber, Dan Gresh, Aaron Hankin, Michael Foss‐Feig, Ashvin Vishwanath, Ruben Verresen, Nathanan Tantivasadakarn and Andrew C. Potter. Their work appears in journals such as Science Advances, Physical review. D, Physical Review Letters, Nature Physics and Communications Physics.
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.