Léo Perrin

1.3k citations
27 papers · 286 · h-index 9

Impact in

Papers in

Léo Perrin

23 papers receiving 271 citations

Peers

Léo Perrin
Comparison fields: 5 of 30
  • Artificial Intelligence 254
  • Discrete Mathematics and Combinatorics 23
  • Hardware and Architecture 39
  • Computer Vision and Pattern Recognition 116
  • Signal Processing 25
Replace Christina Boura with:
Christina Boura France
Alexander Maximov Sweden
Roberto Avanzi Germany
Murat Cenk Türkiye
Mridul Nandi India
Jérémy Jean France
Martin Schläffer Austria
Yiyuan Luo China
Christophe De Cannière Belgium
Young-Ho Park South Korea
Léo Perrin relative to Christina Boura France Christina Boura's profile →
Citations per field
00.5×2.9×
Christina Boura · 1×
Citations per year

Countries citing papers authored by Léo Perrin

Since Specialization
Citations

This map shows the geographic impact of Léo Perrin'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 Léo Perrin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Léo Perrin more than expected).

Fields of papers citing papers by Léo Perrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Léo Perrin. 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 Léo Perrin. The network helps show where Léo Perrin may publish in the future.

Co-authors

The 25 scholars most cited alongside Léo Perrin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Léo Perrin Line = papers co-authored together Léo Perrin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201874
2 202030
3 201430
4 201729
5 202026
6 201816
7
SPARX: A Family of ARX-based Lightweight Block Ciphers Provably Secure Against Linear and Differential Attacks
20169
8 20199
9 20229
10 20198
11 20176
12 20176
13 20226
14 20225
15 20225
16 20224
17 20204
18
Reverse-Engineering the S-Box of Streebog, Kuznyechik and STRIBOBr1 (Full Version)
20162
19 20232
20 20222

About Léo Perrin

Léo Perrin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Signal Processing and Hardware and Architecture, having authored 27 papers that have together received 286 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (23 papers), Coding theory and cryptography (22 papers), Chaos-based Image/Signal Encryption (10 papers), graph theory and CDMA systems (9 papers), Advanced Malware Detection Techniques (4 papers), Physical Unclonable Functions (PUFs) and Hardware Security (3 papers), Finite Group Theory Research (2 papers) and DNA and Biological Computing (1 paper). The work is most often cited by research in Artificial Intelligence (254 citations), Discrete Mathematics and Combinatorics (23 citations), Hardware and Architecture (39 citations), Computer Vision and Pattern Recognition (116 citations) and Signal Processing (25 citations). Léo Perrin has collaborated with scholars based in France, Luxembourg and Germany. Frequent co-authors include Anne Canteaut, Alex Biryukov, Johann Großschädl, Céline Blondeau, Dmitry Khovratovich, Sébastien Duval, Daniel Dinu, Y. Corre, Aleksei Udovenko and Gaëtan Leurent. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, Designs Codes and Cryptography, Finite Fields and Their Applications, IEEE Transactions on Information Theory 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.

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