Anne Canteaut

5.3k citations
73 papers · 1.5k · h-index 20

Impact in

Papers in

Anne Canteaut

67 papers receiving 1.4k citations

Peers

Anne Canteaut
Comparison fields: 5 of 41
  • Discrete Mathematics and Combinatorics 162
  • Artificial Intelligence 1.4k
  • Computer Vision and Pattern Recognition 305
  • Electrical and Electronic Engineering 810
  • Computational Theory and Mathematics 217
Replace Lei Hu with:
Lei Hu China
Subhamoy Maitra India
Gérard Cohen France
Hans Dobbertin Germany
Daniel Panario Canada
Andrew Klapper United States
Sihem Mesnager France
Torleiv Kløve Norway
R. C. Mullin Canada
Philippe Gaborit France
Anne Canteaut relative to Lei Hu China Lei Hu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anne Canteaut

Since Specialization
Citations

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

Fields of papers citing papers by Anne Canteaut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anne Canteaut, 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 Anne Canteaut Line = papers co-authored together Anne Canteaut links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998138
2
PRINCE – A Low-latency Block Cipher for Pervasive Computing Applications
2012116
3 200084
4 200582
5 200580
6 200378
7 200677
8 200074
9 200773
10 200168
11 201867
12 201152
13 201046
14 200543
15 201840
16 202030
17 201729
18 201525
19 202125
20 201021

About Anne Canteaut

Anne Canteaut is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Signal Processing, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Coding theory and cryptography (47 papers), Cryptographic Implementations and Security (36 papers), graph theory and CDMA systems (26 papers), Chaos-based Image/Signal Encryption (20 papers), Cellular Automata and Applications (6 papers), Intelligence, Security, War Strategy (5 papers), Economic Sanctions and International Relations (5 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (162 citations), Artificial Intelligence (1.4k citations), Computer Vision and Pattern Recognition (305 citations), Electrical and Electronic Engineering (810 citations) and Computational Theory and Mathematics (217 citations). Anne Canteaut has collaborated with scholars based in France, China and Germany. Frequent co-authors include Pascale Charpin, Hans Dobbertin, Christina Boura, Marion Videau, Céline Blondeau, Gregor Leander, Claude Carlet, Léo Perrin, Gohar Kyureghyan and Caroline Fontaine. Their work appears in journals such as IEEE Transactions on Information Theory, IACR Transactions on Symmetric Cryptology, Designs Codes and Cryptography, Finite Fields and Their Applications 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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