Marc-Olivier Renou
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 2%
- Statistical and Nonlinear Physics top 5%
- Physiology
- Electrical and Electronic Engineering
- Co-authors
- Nicolas GisinNicolas BrunnerArmin TavakoliSalman BeigiSadra BoreiriAntonio AcínElisa BäumerLê Phuc Thinh
- Topics
- Quantum Information and Cryptography (15 papers)Quantum Mechanics and Applications (14 papers)Quantum Computing Algorithms and Architecture (9 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Partner nations
- SwitzerlandSpainFrance
In The Last Decade
Marc-Olivier Renou
16 papers receiving 588 citations
Peers
Comparison fields: 5 of 38
- Atomic and Molecular Physics, and Optics 535
- Artificial Intelligence 514
- Statistical and Nonlinear Physics 109
- Physiology 15
- Electrical and Electronic Engineering 14
Countries citing papers authored by Marc-Olivier Renou
This map shows the geographic impact of Marc-Olivier Renou'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 Marc-Olivier Renou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc-Olivier Renou more than expected).
Fields of papers citing papers by Marc-Olivier Renou
This network shows the impact of papers produced by Marc-Olivier Renou. 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 Marc-Olivier Renou. The network helps show where Marc-Olivier Renou may publish in the future.
Co-authorship network of co-authors of Marc-Olivier Renou
This figure shows the co-authorship network connecting the top 25 collaborators of Marc-Olivier Renou. A scholar is included among the top collaborators of Marc-Olivier Renou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc-Olivier Renou. Marc-Olivier Renou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 20 | |
| 6 | 26 | |
| 7 | 13 | |
| 8 | 20 | |
| 9 | 12 | |
| 10 | 117 | |
| 11 | 40 | |
| 12 | 126 | |
| 13 | 37 | |
| 14 | 43 | |
| 15 | 24 | |
| 16 | 68 | |
| 17 | 4 | |
| 18 | 37 |
About Marc-Olivier Renou
Marc-Olivier Renou is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 18 papers that have together received 593 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (15 papers), Quantum Mechanics and Applications (14 papers) and Quantum Computing Algorithms and Architecture (9 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (535 citations), Artificial Intelligence (514 citations) and Statistical and Nonlinear Physics (109 citations). Marc-Olivier Renou has collaborated with scholars based in Switzerland, Spain and France. Frequent co-authors include Nicolas Gisin, Nicolas Brunner, Armin Tavakoli, Salman Beigi, Sadra Boreiri, Antonio Acín, Elisa Bäumer, Lê Phuc Thinh, Miguel Navascués and Mirjam Weilenmann. Their work appears in journals such as Nature, Physical Review Letters and Nature Physics.
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.