Yannick Seurin
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Media Technology top 10%
- Co-authors
- Gregory MaxwellAndrew PoelstraPieter WuilleMatthew J. B. RobshawHenri GilbertJooyoung LeeBenoît CogliatiStefano Tessaro
- Topics
- Cryptographic Implementations and Security (11 papers)Coding theory and cryptography (8 papers)Chaos-based Image/Signal Encryption (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaLecture notes in computer scienceJournal of Cryptology
- Partner nations
- FranceSouth KoreaLuxembourg
In The Last Decade
Yannick Seurin
11 papers receiving 248 citations
Peers
Comparison fields: 5 of 24
- Artificial Intelligence 192
- Information Systems 123
- Computer Networks and Communications 69
- Computer Vision and Pattern Recognition 56
- Media Technology 40
Countries citing papers authored by Yannick Seurin
This map shows the geographic impact of Yannick Seurin'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 Yannick Seurin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yannick Seurin more than expected).
Fields of papers citing papers by Yannick Seurin
This network shows the impact of papers produced by Yannick Seurin. 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 Yannick Seurin. The network helps show where Yannick Seurin may publish in the future.
Co-authorship network of co-authors of Yannick Seurin
This figure shows the co-authorship network connecting the top 25 collaborators of Yannick Seurin. A scholar is included among the top collaborators of Yannick Seurin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yannick Seurin. Yannick Seurin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 126 | |
| 4 | 9 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 12 | |
| 10 | HB # : increasing the security and efficiency of HB + | 65 |
| 11 | PRESENT: An Ultra-Lightweight Block Cipher | 1 |
| 12 | Small-Footprint Block Cipher Design - How far can you go? | 1 |
About Yannick Seurin
Yannick Seurin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 12 papers that have together received 254 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (11 papers), Coding theory and cryptography (8 papers) and Chaos-based Image/Signal Encryption (7 papers). The work is most often cited by research in Artificial Intelligence (192 citations), Information Systems (123 citations) and Media Technology (40 citations). Yannick Seurin has collaborated with scholars based in France, South Korea and Luxembourg. Frequent co-authors include Gregory Maxwell, Andrew Poelstra, Pieter Wuille, Matthew J. B. Robshaw, Henri Gilbert, Jooyoung Lee, Benoît Cogliati, Stefano Tessaro, John Steinberger and Shan Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Lecture notes in computer science and Journal of Cryptology.
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.