Daniel Augot

24 papers receiving 236 citations

Peers

Daniel Augot
Comparison fields: 5 of 23
  • Artificial Intelligence 225
  • Discrete Mathematics and Combinatorics 22
  • Computational Theory and Mathematics 77
  • Computer Networks and Communications 103
  • Electrical and Electronic Engineering 134
Replace Ayoub Otmani with:
Ayoub Otmani France
Gui-Liang Feng United States
Dingyi Pei China
Haode Yan China
Hongwei Liu China
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Citations per year

Countries citing papers authored by Daniel Augot

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Augot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199259
2 199440
3 200521
4 200017
5 199917
6 200813
7 199613
8
Ongoing Research Areas in Symmetric Cryptography
200611
9 201711
10 200811
11 200610
12 20209
13 20038
14 19965
15 19975
16
The Minimal polynomials, characteristic subspaces, normal bases and the frobenius form
19934
17
An Alternative to Factorization: a Speedup for SUDAN's Decoding Algorithm and its Generalization to Algebraic-Geometric Codes
19983
18
Algebraic list-decoding of Reed-Solomon product codes
20062
19 19982
20 20022

About Daniel Augot

Daniel Augot is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Discrete Mathematics and Combinatorics and Electrical and Electronic Engineering, having authored 25 papers that have together received 267 indexed citations. Recurring topics across this work include Coding theory and cryptography (19 papers), graph theory and CDMA systems (12 papers), Cellular Automata and Applications (6 papers), Error Correcting Code Techniques (3 papers), Polynomial and algebraic computation (3 papers), Advanced Steganography and Watermarking Techniques (3 papers), Advanced Wireless Communication Techniques (3 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Artificial Intelligence (225 citations), Discrete Mathematics and Combinatorics (22 citations), Computational Theory and Mathematics (77 citations), Computer Networks and Communications (103 citations) and Electrical and Electronic Engineering (134 citations). Daniel Augot has collaborated with scholars based in France, China and Germany. Frequent co-authors include Nicolas Sendrier, Pascale Charpin, Raghav Bhaskar, Valérie Issarny, Jean‐Charles Faugère, Magali Bardet, Paul Camion, Pierre Loidreau, Jean-François Delaigle and Caroline Fontaine. Their work appears in journals such as IEEE Transactions on Information Theory, Finite Fields and Their Applications, Proceedings of the IEEE, Pervasive and Mobile Computing and Linear Algebra and its Applications.

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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