Frédéric Sauvage
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics
- Computational Theory and Mathematics top 10%
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Co-authors
- Martín LaroccaM. CerezoPatrick J. ColesGuillaume VerdonDenis DochainMartin GuayFlorian MintertKate Nguyen
- Topics
- Quantum Information and Cryptography (8 papers)Quantum Computing Algorithms and Architecture (7 papers)Advanced Control Systems Optimization (4 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- United StatesCanadaBelgium
In The Last Decade
Frédéric Sauvage
14 papers receiving 268 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 225
- Atomic and Molecular Physics, and Optics 101
- Computational Theory and Mathematics 51
- Control and Systems Engineering 37
- Electrical and Electronic Engineering 21
Countries citing papers authored by Frédéric Sauvage
This map shows the geographic impact of Frédéric Sauvage'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 Frédéric Sauvage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Sauvage more than expected).
Fields of papers citing papers by Frédéric Sauvage
This network shows the impact of papers produced by Frédéric Sauvage. 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 Frédéric Sauvage. The network helps show where Frédéric Sauvage may publish in the future.
Co-authorship network of co-authors of Frédéric Sauvage
This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Sauvage. A scholar is included among the top collaborators of Frédéric Sauvage 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 Frédéric Sauvage. Frédéric Sauvage 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 | 2 | |
| 3 | 43 | |
| 4 | 1 | |
| 5 | 47 | |
| 6 | 28 | |
| 7 | 8 | |
| 8 | 22 | |
| 9 | 92 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 34 | |
| 13 | 1 | |
| 14 | Design and application of state observers for exothermic fed-batch reactors with uncertain kinetics and heat transfer | 1 |
| 15 | 1 |
About Frédéric Sauvage
Frédéric Sauvage is a scholar working on Artificial Intelligence, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 15 papers that have together received 284 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (8 papers), Quantum Computing Algorithms and Architecture (7 papers) and Advanced Control Systems Optimization (4 papers). The work is most often cited by research in Artificial Intelligence (225 citations), Atomic and Molecular Physics, and Optics (101 citations) and Computational Theory and Mathematics (51 citations). Frédéric Sauvage has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Martín Larocca, M. Cerezo, Patrick J. Coles, Guillaume Verdon, Denis Dochain, Martin Guay, Florian Mintert, Kate Nguyen, Łukasz Cincio and Tameem Albash. Their work appears in journals such as Physical Review Letters, npj Quantum Information and Physical Review Research.
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.