Valentin Suder
Impact in
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- Cryptographic Implementations and Security
- Coding theory and cryptography
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- Chaos-based Image/Signal Encryption
Papers in
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- Coding theory and cryptography 6
- Cryptographic Implementations and Security 3
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- Finite Group Theory Research 2
- Co-authors
- Christina Boura (2 shared papers)Gohar Kyureghyan (3 shared papers)María Naya‐Plasencia (1 shared paper)Virginie Lallemand (1 shared paper)Pascale Charpin (1 shared paper)Jérémy Jean (1 shared paper)Anne Canteaut (1 shared paper)Gaëtan Leurent (1 shared paper)
- Journals
- Finite Fields and Their Applications (2 papers)Designs Codes and Cryptography (2 papers)Journal of Cryptology (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
In The Last Decade
Valentin Suder
8 papers receiving 71 citations
Peers
Comparison fields: 5 of 15
- Artificial Intelligence 71
- Computer Vision and Pattern Recognition 33
- Discrete Mathematics and Combinatorics 5
- Hardware and Architecture 7
- Computational Theory and Mathematics 9
Countries citing papers authored by Valentin Suder
This map shows the geographic impact of Valentin Suder'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 Valentin Suder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Suder more than expected).
Fields of papers citing papers by Valentin Suder
This network shows the impact of papers produced by Valentin Suder. 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 Valentin Suder. The network helps show where Valentin Suder may publish in the future.
Co-authors
The 9 scholars most cited alongside Valentin Suder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 32 | |
| 2 | 2014 | 14 | |
| 3 | 2013 | 10 | |
| 4 | 2018 | 10 | |
| 5 | 2016 | 5 | |
| 6 | Forgery and Key-Recovery Attacks on CAESAR Candidate Marble | 2015 | 2 |
| 7 | Antiderivative Functions over F 2 n | 2015 | 1 |
| 8 | Finite Fields and Their Applications | 2014 | 1 |
About Valentin Suder
Valentin Suder is a scholar working on Artificial Intelligence, Discrete Mathematics and Combinatorics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 8 papers that have together received 75 indexed citations. Recurring topics across this work include Coding theory and cryptography (6 papers), Chaos-based Image/Signal Encryption (3 papers), Cryptographic Implementations and Security (3 papers), graph theory and CDMA systems (3 papers), Finite Group Theory Research (2 papers), Physical Unclonable Functions (PUFs) and Hardware Security (1 paper), Intelligence, Security, War Strategy (1 paper) and Error Correcting Code Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (71 citations), Computer Vision and Pattern Recognition (33 citations), Discrete Mathematics and Combinatorics (5 citations), Hardware and Architecture (7 citations) and Computational Theory and Mathematics (9 citations). Valentin Suder has collaborated with scholars based in France, Canada and Germany. Frequent co-authors include Christina Boura, Gohar Kyureghyan, María Naya‐Plasencia, Virginie Lallemand, Pascale Charpin, Jérémy Jean, Anne Canteaut, Gaëtan Leurent and Thomas Fuhr. Their work appears in journals such as Finite Fields and Their Applications, Designs Codes and Cryptography, Journal of Cryptology and HAL (Le Centre pour la Communication Scientifique Directe).
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.