Gaëtan Cassiers
- Artificial Intelligence top 10%
- Hardware and Architecture top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Electrical and Electronic Engineering
- Co-authors
- François‐Xavier StandaertItamar LeviBenjamin GrégoireOlivier BronchainPierrick MéauxWeijia WangThomas PetersSébastien Duval
- Topics
- Cryptographic Implementations and Security (17 papers)Physical Unclonable Functions (PUFs) and Hardware Security (11 papers)Chaos-based Image/Signal Encryption (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on ComputersIEEE Transactions on Information Forensics and Security
In The Last Decade
Gaëtan Cassiers
18 papers receiving 210 citations
Peers
Comparison fields: 5 of 22
- Artificial Intelligence 201
- Hardware and Architecture 126
- Computer Vision and Pattern Recognition 81
- Signal Processing 45
- Electrical and Electronic Engineering 25
Countries citing papers authored by Gaëtan Cassiers
This map shows the geographic impact of Gaëtan Cassiers'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 Gaëtan Cassiers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaëtan Cassiers more than expected).
Fields of papers citing papers by Gaëtan Cassiers
This network shows the impact of papers produced by Gaëtan Cassiers. 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 Gaëtan Cassiers. The network helps show where Gaëtan Cassiers may publish in the future.
Co-authorship network of co-authors of Gaëtan Cassiers
This figure shows the co-authorship network connecting the top 25 collaborators of Gaëtan Cassiers. A scholar is included among the top collaborators of Gaëtan Cassiers 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 Gaëtan Cassiers. Gaëtan Cassiers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 20 | |
| 14 | 23 | |
| 15 | 11 | |
| 16 | 60 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 3 |
About Gaëtan Cassiers
Gaëtan Cassiers is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 222 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (17 papers), Physical Unclonable Functions (PUFs) and Hardware Security (11 papers) and Chaos-based Image/Signal Encryption (8 papers). The work is most often cited by research in Hardware and Architecture (126 citations), Artificial Intelligence (201 citations) and Signal Processing (45 citations). Gaëtan Cassiers has collaborated with scholars based in Belgium, Austria and Germany. Frequent co-authors include François‐Xavier Standaert, Itamar Levi, Benjamin Grégoire, Olivier Bronchain, Pierrick Méaux, Weijia Wang, Thomas Peters, Sébastien Duval, Chun Guo and Gregor Leander. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Computers and IEEE Transactions on Information Forensics and 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.