Mathieu Ciet
Impact in
- Information Systems top 5%
- Cryptography and Residue Arithmetic
- Artificial Intelligence top 5%
- Cryptographic Implementations and Security
- Coding theory and cryptography
- Cryptography and Data Security
- Security and Verification in Computing
Papers in
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- Cryptography and Residue Arithmetic 9
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- Cryptographic Implementations and Security 5
- Coding theory and cryptography 3
- Cryptography and Data Security 2
- Co-authors
- Marc Jóye (4 shared papers)Benoît Chevallier-Mames (1 shared paper)Peter L. Montgomery (1 shared paper)Kristin Lauter (1 shared paper)Eric Peeters (1 shared paper)Michael Neve (1 shared paper)Jean-Jacques Quisquater (1 shared paper)Francesco Sica (3 shared papers)
In The Last Decade
Mathieu Ciet
10 papers receiving 293 citations
Peers
Comparison fields: 5 of 15
- Information Systems 226
- Artificial Intelligence 306
- Hardware and Architecture 56
- Computer Vision and Pattern Recognition 68
- Geometry and Topology 15
Countries citing papers authored by Mathieu Ciet
This map shows the geographic impact of Mathieu Ciet'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 Mathieu Ciet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Ciet more than expected).
Fields of papers citing papers by Mathieu Ciet
This network shows the impact of papers produced by Mathieu Ciet. 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 Mathieu Ciet. The network helps show where Mathieu Ciet may publish in the future.
Co-authors
The 9 scholars most cited alongside Mathieu Ciet, 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 | 2004 | 129 | |
| 2 | 2005 | 83 | |
| 3 | 2006 | 51 | |
| 4 | 2006 | 45 | |
| 5 | PARALLEL FPGA IMPLEMENTATION OF RSA WITH RESIDUE NUMBER SYSTEMS | 2003 | 13 |
| 6 | 2002 | 3 | |
| 7 | Improved algorithms for efficient arithmetic on elliptic curves using fast endomorphisms | 2003 | 3 |
| 8 | Preventing differential analysis in GLV elliptic curve scalar multiplication | 2003 | 1 |
| 9 | Virtually) free randomization techniques for elliptic curve cryptography | 2003 | 1 |
| 10 | 2011 | 1 |
About Mathieu Ciet
Mathieu Ciet is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, General Health Professions and Geometry and Topology, having authored 10 papers that have together received 330 indexed citations. Recurring topics across this work include Cryptography and Residue Arithmetic (9 papers), Cryptographic Implementations and Security (5 papers), Coding theory and cryptography (3 papers), Cryptography and Data Security (2 papers), Chaos-based Image/Signal Encryption (2 papers), Hermeneutics and Narrative Identity (1 paper), Algebraic Geometry and Number Theory (1 paper) and Health, Medicine and Society (1 paper). The work is most often cited by research in Information Systems (226 citations), Artificial Intelligence (306 citations), Hardware and Architecture (56 citations), Computer Vision and Pattern Recognition (68 citations) and Geometry and Topology (15 citations). Mathieu Ciet has collaborated with scholars based in Belgium, France and Australia. Frequent co-authors include Marc Jóye, Benoît Chevallier-Mames, Peter L. Montgomery, Kristin Lauter, Eric Peeters, Michael Neve, Jean-Jacques Quisquater, Francesco Sica and J.-J. Quisquater. Their work appears in journals such as Designs Codes and Cryptography, IEEE Transactions on Computers, Journal of Mathematical Cryptology and Lecture notes in computer science.
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.