Patrick Rall
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
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- Quantum and electron transport phenomena
- Quantum Mechanics and Applications
- Quantum many-body systems
Papers in
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- Quantum Computing Algorithms and Architecture 12
- Quantum Information and Cryptography 8
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- Quantum many-body systems 3
- Quantum Mechanics and Applications 2
- Co-authors
- Scott Aaronson (2 shared papers)Andrew W. Cross (1 shared paper)Jay Gambetta (1 shared paper)Sergey Bravyi (1 shared paper)Theodore J. Yoder (1 shared paper)Dmitri Maslov (1 shared paper)Chunhao Wang (1 shared paper)Paweł Wocjan (1 shared paper)
- Journals
- Physical review. A (2 papers)Quantum (2 papers)Journal of High Energy Physics (1 paper)PRX Quantum (1 paper)Nature (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Patrick Rall
13 papers receiving 469 citations
Patrick Rall's Hit Papers
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 402
- Atomic and Molecular Physics, and Optics 220
- Computational Mathematics 4
- Computational Theory and Mathematics 102
- Statistical and Nonlinear Physics 34
Countries citing papers authored by Patrick Rall
This map shows the geographic impact of Patrick Rall'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 Patrick Rall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Rall more than expected).
Fields of papers citing papers by Patrick Rall
This network shows the impact of papers produced by Patrick Rall. 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 Patrick Rall. The network helps show where Patrick Rall may publish in the future.
Co-authors
The 22 scholars most cited alongside Patrick Rall, 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 | High-threshold and low-overhead fault-tolerant quantum memory Hit paper breakdown → | 2024 | 184 |
| 2 | 2019 | 65 | |
| 3 | 2024 | 47 | |
| 4 | 2020 | 40 | |
| 5 | 2019 | 36 | |
| 6 | 2023 | 30 | |
| 7 | 2021 | 22 | |
| 8 | 2020 | 20 | |
| 9 | 2023 | 13 | |
| 10 | 2019 | 10 | |
| 11 | 2022 | 6 | |
| 12 | 2025 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 0 |
About Patrick Rall
Patrick Rall is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Computer Networks and Communications and Geometry and Topology, having authored 14 papers that have together received 478 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (12 papers), Quantum Information and Cryptography (8 papers), Quantum many-body systems (3 papers), Quantum-Dot Cellular Automata (3 papers), Quantum Mechanics and Applications (2 papers), Cellular Automata and Applications (1 paper), Black Holes and Theoretical Physics (1 paper) and Nanotechnology research and applications (1 paper). The work is most often cited by research in Artificial Intelligence (402 citations), Atomic and Molecular Physics, and Optics (220 citations), Computational Mathematics (4 citations), Computational Theory and Mathematics (102 citations) and Statistical and Nonlinear Physics (34 citations). Patrick Rall has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Scott Aaronson, Andrew W. Cross, Jay Gambetta, Sergey Bravyi, Theodore J. Yoder, Dmitri Maslov, Chunhao Wang, Paweł Wocjan, Bryce Fuller and Edward H. Chen. Their work appears in journals such as Physical review. A, Quantum, Journal of High Energy Physics, PRX Quantum and Nature.
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.