Gaëtan Leurent
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Information Systems
- Electrical and Electronic Engineering
- Co-authors
- Karthikeyan BhargavanMaría Naya‐PlasenciaSébastien DuvalAnthony LeverrierMarc KaplanThomas PeyrinLéo PerrinItai Dinur
- Topics
- Cryptographic Implementations and Security (18 papers)Chaos-based Image/Signal Encryption (11 papers)Coding theory and cryptography (11 papers)
In The Last Decade
Gaëtan Leurent
19 papers receiving 236 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 213
- Computer Vision and Pattern Recognition 106
- Signal Processing 44
- Information Systems 39
- Electrical and Electronic Engineering 35
Countries citing papers authored by Gaëtan Leurent
This map shows the geographic impact of Gaëtan Leurent'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 Gaëtan Leurent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaëtan Leurent more than expected).
Fields of papers citing papers by Gaëtan Leurent
This network shows the impact of papers produced by Gaëtan Leurent. 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 Gaëtan Leurent. The network helps show where Gaëtan Leurent may publish in the future.
Co-authorship network of co-authors of Gaëtan Leurent
This figure shows the co-authorship network connecting the top 25 collaborators of Gaëtan Leurent. A scholar is included among the top collaborators of Gaëtan Leurent 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 Gaëtan Leurent. Gaëtan Leurent 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 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | SHA-1 is a Shambles: First Chosen-Prefix Collision on SHA-1 and Application to the {PGP} Web of Trust | 16 |
| 7 | 23 | |
| 8 | 2 | |
| 9 | 30 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 22 | |
| 13 | Quantum differential and linear cryptanalysis | 54 |
| 14 | 65 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | Forgery and Key-Recovery Attacks on CAESAR Candidate Marble | 2 |
| 18 | Tuple cryptanalysis of ARX with application to BLAKE and Skein | 6 |
| 19 | 0 | |
| 20 | 1 |
About Gaëtan Leurent
Gaëtan Leurent is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 22 papers that have together received 247 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (18 papers), Chaos-based Image/Signal Encryption (11 papers) and Coding theory and cryptography (11 papers). The work is most often cited by research in Artificial Intelligence (213 citations), Computer Vision and Pattern Recognition (106 citations) and Signal Processing (44 citations). Gaëtan Leurent has collaborated with scholars based in France, Israel and China. Frequent co-authors include Karthikeyan Bhargavan, María Naya‐Plasencia, Sébastien Duval, Anthony Leverrier, Marc Kaplan, Thomas Peyrin, Léo Perrin, Itai Dinur, Thomas Pornin and André Schrottenloher. Their work appears in journals such as Lecture notes in computer science, Algorithmica and Journal of Cryptology.
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.