Noah Shutty
Impact in
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- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Particle physics theoretical and experimental studies
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- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
Papers in
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- Quantum Computing Algorithms and Architecture 5
- Quantum Information and Cryptography 3
- Coding theory and cryptography 2
- Cryptography and Data Security 1
- Neural Networks and Reservoir Computing 1
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- Rings, Modules, and Algebras 1
- Co-authors
- Christopher Chamberland (1 shared paper)Mary Wootters (4 shared papers)M. Schubnell (1 shared paper)W. Lorenzon (1 shared paper)K. Pushkin (1 shared paper)Scott Stephenson (1 shared paper)Q. Lin (1 shared paper)K. Ni (1 shared paper)
- Journals
- Journal of Number Theory (1 paper)IEEE Transactions on Information Theory (1 paper)Nature (1 paper)Physical Review Applied (1 paper)Quantum (1 paper)
- Partner nations
- United StatesIsraelSpain
In The Last Decade
Noah Shutty
7 papers receiving 16 citations
Peers
Comparison fields: 5 of 9
- Nuclear and High Energy Physics 6
- Artificial Intelligence 8
- Atomic and Molecular Physics, and Optics 6
- Computer Networks and Communications 3
- Computational Theory and Mathematics 1
Countries citing papers authored by Noah Shutty
This map shows the geographic impact of Noah Shutty'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 Noah Shutty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah Shutty more than expected).
Fields of papers citing papers by Noah Shutty
This network shows the impact of papers produced by Noah Shutty. 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 Noah Shutty. The network helps show where Noah Shutty may publish in the future.
Co-authors
The 20 scholars most cited alongside Noah Shutty, 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 | 2015 | 6 | |
| 2 | 2022 | 3 | |
| 3 | 2025 | 2 | |
| 4 | 2023 | 2 | |
| 5 | Noise Thresholds for Amplification: From Quantum Foundations to Classical Fault-Tolerant Computation. | 2018 | 1 |
| 6 | 2024 | 1 | |
| 7 | 2025 | 1 | |
| 8 | 2015 | 0 |
About Noah Shutty
Noah Shutty is a scholar working on Artificial Intelligence, Algebra and Number Theory, Computer Networks and Communications, Mathematical Physics and Atomic and Molecular Physics, and Optics, having authored 8 papers that have together received 16 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (3 papers), Coding theory and cryptography (2 papers), Rings, Modules, and Algebras (1 paper), Optical Network Technologies (1 paper), Dark Matter and Cosmic Phenomena (1 paper), Cryptography and Data Security (1 paper) and Neural Networks and Reservoir Computing (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (6 citations), Artificial Intelligence (8 citations), Atomic and Molecular Physics, and Optics (6 citations), Computer Networks and Communications (3 citations) and Computational Theory and Mathematics (1 citation). Noah Shutty has collaborated with scholars based in United States, Israel and Spain. Frequent co-authors include Christopher Chamberland, Mary Wootters, M. Schubnell, W. Lorenzon, K. Pushkin, Scott Stephenson, Q. Lin, K. Ni, G. Tarlé and Itzhak Tamo. Their work appears in journals such as Journal of Number Theory, IEEE Transactions on Information Theory, Nature, Physical Review Applied and Quantum.
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.