Ryan LaRose
Impact in
- Artificial Intelligence top 2%
- 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 11
- Quantum Information and Cryptography 9
- Neural Networks and Reservoir Computing 2
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- Quantum many-body systems 2
- Quantum and electron transport phenomena 2
- Co-authors
- Brian Coyle (1 shared paper)Patrick J. Coles (3 shared papers)Łukasz Cincio (3 shared papers)Andrew T. Sornborger (1 shared paper)Alexander Poremba (1 shared paper)Sumeet Khatri (1 shared paper)Carlos Bravo-Prieto (1 shared paper)Marco Cerezo (1 shared paper)
- Journals
- Quantum (3 papers)Physical Review A (3 papers)npj Quantum Information (1 paper)IEEE Transactions on Quantum Engineering (1 paper)Quantum Machine Intelligence (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Ryan LaRose
12 papers receiving 824 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 753
- Atomic and Molecular Physics, and Optics 272
- Computational Theory and Mathematics 149
- Hardware and Architecture 25
- Computational Mathematics 2
Countries citing papers authored by Ryan LaRose
This map shows the geographic impact of Ryan LaRose'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 Ryan LaRose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan LaRose more than expected).
Fields of papers citing papers by Ryan LaRose
This network shows the impact of papers produced by Ryan LaRose. 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 Ryan LaRose. The network helps show where Ryan LaRose may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan LaRose, 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 | 2019 | 263 | |
| 2 | 2020 | 231 | |
| 3 | 2019 | 142 | |
| 4 | 2023 | 112 | |
| 5 | 2022 | 27 | |
| 6 | 2022 | 16 | |
| 7 | 2023 | 15 | |
| 8 | 2022 | 13 | |
| 9 | 2024 | 11 | |
| 10 | 2022 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2025 | 1 | |
| 13 | Jurisdiction over American Private Military Contractors: The Illusion of a Loophole in the Law and the Reality of No Oversight | 2012 | 0 |
About Ryan LaRose
Ryan LaRose is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 13 papers that have together received 837 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (11 papers), Quantum Information and Cryptography (9 papers), Quantum many-body systems (2 papers), Neural Networks and Reservoir Computing (2 papers), Quantum and electron transport phenomena (2 papers), Advancements in Semiconductor Devices and Circuit Design (1 paper), Blind Source Separation Techniques (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Artificial Intelligence (753 citations), Atomic and Molecular Physics, and Optics (272 citations), Computational Theory and Mathematics (149 citations), Hardware and Architecture (25 citations) and Computational Mathematics (2 citations). Ryan LaRose has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Brian Coyle, Patrick J. Coles, Łukasz Cincio, Andrew T. Sornborger, Alexander Poremba, Sumeet Khatri, Carlos Bravo-Prieto, Marco Cerezo, Yiğit Subaşı and Nathan Shammah. Their work appears in journals such as Quantum, Physical Review A, npj Quantum Information, IEEE Transactions on Quantum Engineering and Quantum Machine Intelligence.
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.