Daniel Augot
Impact in
- Artificial Intelligence top 5%
- Coding theory and cryptography
- Cryptographic Implementations and Security
- Cryptography and Data Security
Papers in
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- Coding theory and cryptography 29
- Cryptographic Implementations and Security 9
- Cryptography and Data Security 7
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- graph theory and CDMA systems 15
- Co-authors
- Nicolas Sendrier (4 shared papers)Matthieu Finiasz (3 shared papers)Pascale Charpin (2 shared papers)Raghav Bhaskar (3 shared papers)Valérie Issarny (2 shared papers)Magali Bardet (2 shared papers)Jean‐Charles Faugère (3 shared papers)Hervé Chabanne (2 shared papers)
In The Last Decade
Daniel Augot
37 papers receiving 483 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 460
- Discrete Mathematics and Combinatorics 26
- Computational Theory and Mathematics 127
- Computer Networks and Communications 157
- Computer Vision and Pattern Recognition 101
Countries citing papers authored by Daniel Augot
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
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.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 67 | |
| 2 | 2005 | 66 | |
| 3 | 2015 | 46 | |
| 4 | 1994 | 46 | |
| 5 | 2017 | 36 | |
| 6 | 2005 | 23 | |
| 7 | 2000 | 21 | |
| 8 | 1999 | 19 | |
| 9 | 2014 | 17 | |
| 10 | 2009 | 16 | |
| 11 | 2017 | 15 | |
| 12 | 2008 | 15 | |
| 13 | 1996 | 15 | |
| 14 | 2003 | 13 | |
| 15 | Ongoing Research Areas in Symmetric Cryptography | 2006 | 13 |
| 16 | 2006 | 13 | |
| 17 | 2003 | 12 | |
| 18 | 2008 | 11 | |
| 19 | 2011 | 11 | |
| 20 | 2020 | 8 |
About Daniel Augot
Daniel Augot is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 539 indexed citations. Recurring topics across this work include Coding theory and cryptography (29 papers), graph theory and CDMA systems (15 papers), Cryptographic Implementations and Security (9 papers), Cellular Automata and Applications (7 papers), Cryptography and Data Security (7 papers), Advanced Steganography and Watermarking Techniques (5 papers), Chaos-based Image/Signal Encryption (5 papers) and Error Correcting Code Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (460 citations), Discrete Mathematics and Combinatorics (26 citations), Computational Theory and Mathematics (127 citations), Computer Networks and Communications (157 citations) and Computer Vision and Pattern Recognition (101 citations). Daniel Augot has collaborated with scholars based in France, China and Belgium. Frequent co-authors include Nicolas Sendrier, Matthieu Finiasz, Pascale Charpin, Raghav Bhaskar, Valérie Issarny, Magali Bardet, Jean‐Charles Faugère, Hervé Chabanne, William R. George and Laurent A. Lambert. Their work appears in journals such as IEEE Transactions on Information Theory, Finite Fields and Their Applications, Linear Algebra and its Applications, Lecture notes in computer science and Pervasive and Mobile Computing.
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.