Thomas Pornin
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Information Systems
- Electrical and Electronic Engineering
- Co-authors
- Anne CanteautAndré SchrottenloherGaëtan LeurentMaría Naya‐PlasenciaSébastien DuvalLéo PerrinDavid PointchevalDario Catalano
- Topics
- Coding theory and cryptography (6 papers)Cryptographic Implementations and Security (5 papers)Chaos-based Image/Signal Encryption (4 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Networks and Communications
In The Last Decade
Thomas Pornin
8 papers receiving 67 citations
Peers
Comparison fields: 5 of 16
- Artificial Intelligence 75
- Computer Vision and Pattern Recognition 47
- Computer Networks and Communications 19
- Information Systems 12
- Electrical and Electronic Engineering 11
Countries citing papers authored by Thomas Pornin
This map shows the geographic impact of Thomas Pornin'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 Thomas Pornin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Pornin more than expected).
Fields of papers citing papers by Thomas Pornin
This network shows the impact of papers produced by Thomas Pornin. 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 Thomas Pornin. The network helps show where Thomas Pornin may publish in the future.
Co-authorship network of co-authors of Thomas Pornin
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Pornin. A scholar is included among the top collaborators of Thomas Pornin 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 Thomas Pornin. Thomas Pornin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 30 | |
| 5 | 9 | |
| 6 | Ongoing Research Areas in Symmetric Cryptography | 11 |
| 7 | DECIM, a new stream cipher for hardware applications | 6 |
| 8 | Report on the AES Candidates | 13 |
| 9 | Decorrelated Fast Cipher: an AES Candidate | 8 |
About Thomas Pornin
Thomas Pornin is a scholar working on Artificial Intelligence, Geometry and Topology and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 83 indexed citations. Recurring topics across this work include Coding theory and cryptography (6 papers), Cryptographic Implementations and Security (5 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Artificial Intelligence (75 citations), Computer Vision and Pattern Recognition (47 citations) and Computer Networks and Communications (19 citations). Thomas Pornin has collaborated with scholars based in France, Burundi and China. Frequent co-authors include Anne Canteaut, André Schrottenloher, Gaëtan Leurent, María Naya‐Plasencia, Sébastien Duval, Léo Perrin, David Pointcheval, Dario Catalano, Henri Gilbert and Guillaume Poupard. Their work appears in journals such as Journal of Cryptology, IACR Transactions on Cryptographic Hardware and Embedded Systems and IACR Transactions on Symmetric 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.