David Layden
Impact in
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
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- Quantum Mechanics and Applications
- Quantum and electron transport phenomena
- Quantum many-body systems
- Quantum optics and atomic interactions
Papers in ⓘ
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- Quantum Mechanics and Applications 7
- Quantum and electron transport phenomena 4
- Quantum many-body systems 2
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- Quantum Information and Cryptography 12
- Quantum Computing Algorithms and Architecture 9
- Co-authors
- Paola Cappellaro (6 shared papers)Eduardo Martín-Martínez (3 shared papers)I. Alex Vitkin (2 shared papers)Liang Jiang (2 shared papers)Sisi Zhou (2 shared papers)Michael F. G. Wood (1 shared paper)Achim Kempf (2 shared papers)Mo Chen (2 shared papers)
- Journals
- Physical Review Letters (4 papers)Physical review. A (2 papers)Optics Express (1 paper)Optics Letters (1 paper)Machine Learning Science and Technology (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
David Layden
15 papers receiving 315 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 236
- Atomic and Molecular Physics, and Optics 219
- Statistical and Nonlinear Physics 42
- Analytical Chemistry 17
- Biophysics 9
Countries citing papers authored by David Layden
This map shows the geographic impact of David Layden'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 David Layden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Layden more than expected).
Fields of papers citing papers by David Layden
This network shows the impact of papers produced by David Layden. 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 David Layden. The network helps show where David Layden may publish in the future.
Co-authors
The 25 scholars most cited alongside David Layden, 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 | 54 | |
| 2 | 2023 | 39 | |
| 3 | 2012 | 39 | |
| 4 | 2016 | 36 | |
| 5 | 2022 | 31 | |
| 6 | 2020 | 23 | |
| 7 | 2016 | 22 | |
| 8 | 2022 | 19 | |
| 9 | 2016 | 18 | |
| 10 | 2015 | 12 | |
| 11 | 2024 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2013 | 9 | |
| 14 | 2019 | 3 | |
| 15 | Error-corrected quantum sensing with parallel signal and noise | 2017 | 1 |
About David Layden
David Layden is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, Plant Science and Analytical Chemistry, having authored 15 papers that have together received 327 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (12 papers), Quantum Computing Algorithms and Architecture (9 papers), Quantum Mechanics and Applications (7 papers), Quantum and electron transport phenomena (4 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Optical Polarization and Ellipsometry (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Quantum many-body systems (2 papers). The work is most often cited by research in Artificial Intelligence (236 citations), Atomic and Molecular Physics, and Optics (219 citations), Statistical and Nonlinear Physics (42 citations), Analytical Chemistry (17 citations) and Biophysics (9 citations). David Layden has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Paola Cappellaro, Eduardo Martín-Martínez, I. Alex Vitkin, Liang Jiang, Sisi Zhou, Michael F. G. Wood, Achim Kempf, Mo Chen, Ryan V. Mishmash and Paweł Wocjan. Their work appears in journals such as Physical Review Letters, Physical review. A, Optics Express, Optics Letters and Machine Learning Science and Technology.
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.