Jean-Philippe Aumasson
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Signal Processing
- Computer Networks and Communications
- Co-authors
- Raphaël C.‐W. PhanWilli MeierLuca HenzenPatrick SiarryJohann DréoFlorian MendelGaëtan LeurentYu Sasaki
- Topics
- Cryptographic Implementations and Security (7 papers)Chaos-based Image/Signal Encryption (4 papers)Coding theory and cryptography (3 papers)
- Journals
- IEEE Transactions on Very Large Scale Integration (VLSI) SystemsInformation Processing LettersComputer Fraud & Security
- Partner nations
- SwitzerlandUnited KingdomMalaysia
In The Last Decade
Jean-Philippe Aumasson
9 papers receiving 150 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 136
- Computer Vision and Pattern Recognition 65
- Information Systems 32
- Signal Processing 29
- Computer Networks and Communications 27
Countries citing papers authored by Jean-Philippe Aumasson
This map shows the geographic impact of Jean-Philippe Aumasson'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 Jean-Philippe Aumasson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Philippe Aumasson more than expected).
Fields of papers citing papers by Jean-Philippe Aumasson
This network shows the impact of papers produced by Jean-Philippe Aumasson. 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 Jean-Philippe Aumasson. The network helps show where Jean-Philippe Aumasson may publish in the future.
Co-authorship network of co-authors of Jean-Philippe Aumasson
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Philippe Aumasson. A scholar is included among the top collaborators of Jean-Philippe Aumasson 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 Jean-Philippe Aumasson. Jean-Philippe Aumasson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 24 | |
| 3 | Heavy Quark for secure AEAD | 3 |
| 4 | Tuple cryptanalysis of ARX with application to BLAKE and Skein | 6 |
| 5 | 1 | |
| 6 | Eve's SHA3 candidate: malicious hashing | 2 |
| 7 | 17 | |
| 8 | 1 | |
| 9 | SHA-3 proposal BLAKE | 61 |
| 10 | 1 | |
| 11 | 6 |
About Jean-Philippe Aumasson
Jean-Philippe Aumasson is a scholar working on Artificial Intelligence, Hardware and Architecture and Signal Processing, having authored 11 papers that have together received 168 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (7 papers), Chaos-based Image/Signal Encryption (4 papers) and Coding theory and cryptography (3 papers). The work is most often cited by research in Artificial Intelligence (136 citations), Hardware and Architecture (24 citations) and Computer Vision and Pattern Recognition (65 citations). Jean-Philippe Aumasson has collaborated with scholars based in Switzerland, United Kingdom and Malaysia. Frequent co-authors include Raphaël C.‐W. Phan, Willi Meier, Luca Henzen, Patrick Siarry, Johann Dréo, Florian Mendel, Gaëtan Leurent, Yu Sasaki and Nicky Mouha. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Information Processing Letters and Computer Fraud & Security.
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.