Mitchell Matheny
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
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- Quantum many-body systems
- Cold Atom Physics and Bose-Einstein Condensates
- Quantum Mechanics and Applications
- Quantum optics and atomic interactions
- Mechanical and Optical Resonators
- Topological Materials and Phenomena
Papers in
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- Quantum Computing Algorithms and Architecture 7
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- Quantum many-body systems 3
- Co-authors
- Thomas M. Gatterman (4 shared papers)Brian Neyenhuis (4 shared papers)Dan Gresh (4 shared papers)Kevin Gilmore (4 shared papers)Justin A. Gerber (4 shared papers)Nathan Hewitt (3 shared papers)Michael Foss‐Feig (3 shared papers)Aaron M. Hankin (2 shared papers)
- Journals
- Science Advances (2 papers)Nature Physics (1 paper)Science (1 paper)Physical Review X (1 paper)Physical review. D (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Mitchell Matheny
8 papers receiving 444 citations
Mitchell Matheny's Hit Papers
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 390
- Atomic and Molecular Physics, and Optics 147
- Condensed Matter Physics 6
- Hardware and Architecture 4
- Statistical and Nonlinear Physics 4
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 | A Race-Track Trapped-Ion Quantum Processor Hit paper breakdown → | 2023 | 227 |
| 2 | Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem Hit paper breakdown → | 2024 | 81 |
| 3 | 2024 | 55 | |
| 4 | 2024 | 39 | |
| 5 | 2023 | 34 | |
| 6 | 2024 | 25 | |
| 7 | 2024 | 13 | |
| 8 | 2022 | 1 |
About Mitchell Matheny
Mitchell Matheny is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Nuclear and High Energy Physics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 8 papers that have together received 475 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (7 papers), Quantum many-body systems (3 papers), Dark Matter and Cosmic Phenomena (1 paper), Particle Detector Development and Performance (1 paper) and Neutrino Physics Research (1 paper). The work is most often cited by research in Artificial Intelligence (390 citations), Atomic and Molecular Physics, and Optics (147 citations), Condensed Matter Physics (6 citations), Hardware and Architecture (4 citations) and Statistical and Nonlinear Physics (4 citations). Mitchell Matheny has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Thomas M. Gatterman, Brian Neyenhuis, Dan Gresh, Kevin Gilmore, Justin A. Gerber, Nathan Hewitt, Michael Foss‐Feig, Aaron M. Hankin, Mohsin Iqbal and Henrik Dreyer. Their work appears in journals such as Science Advances, Nature Physics, Science, Physical Review X and Physical review. D.
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.