Sylvain Duquesne
- Artificial Intelligence top 10%
- Information Systems top 5%
- Geometry and Topology top 10%
- Computer Networks and Communications
- Computational Theory and Mathematics
- Co-authors
- Razvan BarbulescuJean-Claude BajardM.D. ErcegovacNadia El MrabetMedien ZeghidAnissa SghaierHassan Yousif AhmedMohsen Machhout
- Topics
- Cryptography and Residue Arithmetic (12 papers)Algebraic Geometry and Number Theory (8 papers)Cryptography and Data Security (6 papers)
- Partner nations
- FranceTunisiaSaudi Arabia
In The Last Decade
Sylvain Duquesne
17 papers receiving 154 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 127
- Information Systems 114
- Geometry and Topology 28
- Computer Networks and Communications 22
- Computational Theory and Mathematics 16
Countries citing papers authored by Sylvain Duquesne
This map shows the geographic impact of Sylvain Duquesne'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 Sylvain Duquesne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvain Duquesne more than expected).
Fields of papers citing papers by Sylvain Duquesne
This network shows the impact of papers produced by Sylvain Duquesne. 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 Sylvain Duquesne. The network helps show where Sylvain Duquesne may publish in the future.
Co-authorship network of co-authors of Sylvain Duquesne
This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Duquesne. A scholar is included among the top collaborators of Sylvain Duquesne 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 Sylvain Duquesne. Sylvain Duquesne 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 | 91 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 8 | |
| 14 | Combining Montgomery Ladder for Elliptic Curves Defined over $\F_p$ and RNS Representation | 6 |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 7 |
About Sylvain Duquesne
Sylvain Duquesne is a scholar working on Geometry and Topology, Theoretical Computer Science and Discrete Mathematics and Combinatorics, having authored 18 papers that have together received 166 indexed citations. Recurring topics across this work include Cryptography and Residue Arithmetic (12 papers), Algebraic Geometry and Number Theory (8 papers) and Cryptography and Data Security (6 papers). The work is most often cited by research in Information Systems (114 citations), Artificial Intelligence (127 citations) and Geometry and Topology (28 citations). Sylvain Duquesne has collaborated with scholars based in France, Tunisia and Saudi Arabia. Frequent co-authors include Razvan Barbulescu, Jean-Claude Bajard, M.D. Ercegovac, Nadia El Mrabet, Medien Zeghid, Anissa Sghaier, Hassan Yousif Ahmed and Mohsen Machhout. Their work appears in journals such as Lecture notes in computer science, Journal of Cryptology and Information Processing Letters.
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.