D. Vion
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- Quantum and electron transport phenomena 34
- Quantum optics and atomic interactions 14
- Mechanical and Optical Resonators 14
- Atomic and Subatomic Physics Research 12
- Cold Atom Physics and Bose-Einstein Condensates 4
- Artificial Intelligence top 0.2%
- Quantum Information and Cryptography 32
- Quantum Computing Algorithms and Architecture 10
- Condensed Matter Physics top 2%
- Physics of Superconductivity and Magnetism 10
- Biophysics top 2%
- Journals
- Physical Review Letters (17 papers)Physical Review A (4 papers)Physical Review B (3 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
D. Vion
55 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Atomic and Molecular Physics, and Optics 4.8k
- Artificial Intelligence 3.4k
- Condensed Matter Physics 620
- Statistical and Nonlinear Physics 343
- Biophysics 122
Countries citing papers authored by D. Vion
This map shows the geographic impact of D. Vion'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 D. Vion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Vion more than expected).
Fields of papers citing papers by D. Vion
This network shows the impact of papers produced by D. Vion. 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 D. Vion. The network helps show where D. Vion may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. Vion, 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 | 2025 | 1 | |
| 2 | 2022 | 17 | |
| 3 | Determining the position of a single spin relative to a metallic nanowire | 2021 | 2 |
| 4 | 2021 | 66 | |
| 5 | 2021 | 24 | |
| 6 | 2021 | 28 | |
| 7 | 2020 | 19 | |
| 8 | 2019 | 13 | |
| 9 | 2019 | 30 | |
| 10 | Inductive-detection electron-spin resonance spectroscopy with 65 spins/root Hz sensitivity | 2017 | 2 |
| 11 | 2017 | 33 | |
| 12 | Flux Qubits in Three-Dimensional Circuit-QED Architecture | 2014 | 1 |
| 13 | 2014 | 47 | |
| 14 | 2014 | 107 | |
| 15 | 2012 | 88 | |
| 16 | 2011 | 62 | |
| 17 | 2011 | 282 | |
| 18 | 2007 | 9 | |
| 19 | 2005 | 123 | |
| 20 | 2004 | 101 |
About D. Vion
D. Vion is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Biophysics and Statistical and Nonlinear Physics, having authored 57 papers that have together received 5.2k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (34 papers), Quantum Information and Cryptography (32 papers), Quantum optics and atomic interactions (14 papers), Mechanical and Optical Resonators (14 papers), Atomic and Subatomic Physics Research (12 papers), Quantum Computing Algorithms and Architecture (10 papers), Physics of Superconductivity and Magnetism (10 papers) and Cold Atom Physics and Bose-Einstein Condensates (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (4.8k citations), Artificial Intelligence (3.4k citations), Condensed Matter Physics (620 citations), Statistical and Nonlinear Physics (343 citations) and Biophysics (122 citations). D. Vion has collaborated with scholars based in France, Germany and United States. Frequent co-authors include P. Joyez, D. Estève, Michel Devoret, Patrice Bertet, A. Aassime, H. Pothier, C. Urbina, Audrey Cottet, Florian Ong and Yuimaru Kubo. Their work appears in journals such as Physical Review Letters, Physical Review A, Physical Review B, Physical Review X and Journal of Magnetic Resonance.
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.