Léo Perrin

1.4k citations
47 papers · 880 · h-index 17

Impact in

Papers in

Léo Perrin

42 papers receiving 858 citations

Peers

Léo Perrin
Comparison fields: 5 of 39
  • Artificial Intelligence 814
  • Computer Vision and Pattern Recognition 423
  • Hardware and Architecture 126
  • Discrete Mathematics and Combinatorics 38
  • Signal Processing 76
Replace Khoongming Khoo with:
Khoongming Khoo Singapore
Shiaw Phin Chee South Korea
Christina Boura France
Alexander Maximov Sweden
Mario Lamberger Austria
Charles Bouillaguet France
Julia Borghoff Denmark
Pierre-Louis Cayrel France
Ivica Nikolić Singapore
Harunaga Hiwatari Denmark
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Citations per field
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Khoongming Khoo · 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201897
2 201690
3 201964
4 202051
5 202045
6 202044
7 201639
8 201635
9 201431
10 201531
11 201530
12 201730
13 201629
14 201527
15 202321
16
202021
17 201818
18 202214
19 201913
20 201713

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 47 papers that have together received 880 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (43 papers), Coding theory and cryptography (41 papers), Chaos-based Image/Signal Encryption (22 papers), graph theory and CDMA systems (12 papers), Physical Unclonable Functions (PUFs) and Hardware Security (4 papers), Advanced Malware Detection Techniques (4 papers), Cryptography and Residue Arithmetic (2 papers) and Finite Group Theory Research (2 papers). The work is most often cited by research in Artificial Intelligence (814 citations), Computer Vision and Pattern Recognition (423 citations), Hardware and Architecture (126 citations), Discrete Mathematics and Combinatorics (38 citations) and Signal Processing (76 citations). Léo Perrin has collaborated with scholars based in France, Luxembourg and Germany. Frequent co-authors include Alex Biryukov, Aleksei Udovenko, Anne Canteaut, Johann Großschädl, Daniel Dinu, Vesselin Velichkov, Patrick Derbez, Gaëtan Leurent, Dmitry Khovratovich and Sébastien Duval. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, Designs Codes and Cryptography, IEEE Transactions on Information Theory, Journal of Cryptology and Cryptography and Communications.

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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