Romain Poussier
- Artificial Intelligence
- Hardware and Architecture top 10%
- Signal Processing
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- François‐Xavier StandaertLiran LermanOlivier MarkowitchShivam BhasinJakub BreierXiaolu HouSiang Meng SimDaniel Genkin
- Topics
- Cryptographic Implementations and Security (8 papers)Advanced Malware Detection Techniques (4 papers)Physical Unclonable Functions (PUFs) and Hardware Security (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIACR Transactions on Cryptographic Hardware and Embedded SystemsACM Transactions on Architecture and Code Optimization
In The Last Decade
Romain Poussier
8 papers receiving 55 citations
Peers
Comparison fields: 5 of 11
- Artificial Intelligence 49
- Hardware and Architecture 32
- Signal Processing 23
- Computer Vision and Pattern Recognition 19
- Computer Networks and Communications 9
Countries citing papers authored by Romain Poussier
This map shows the geographic impact of Romain Poussier'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 Romain Poussier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Romain Poussier more than expected).
Fields of papers citing papers by Romain Poussier
This network shows the impact of papers produced by Romain Poussier. 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 Romain Poussier. The network helps show where Romain Poussier may publish in the future.
Co-authorship network of co-authors of Romain Poussier
This figure shows the co-authorship network connecting the top 25 collaborators of Romain Poussier. A scholar is included among the top collaborators of Romain Poussier 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 Romain Poussier. Romain Poussier 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 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | 29 | |
| 8 | Combining Leakage-Resilient PRFs and Shuffling (Towards Bounded Security for Small Embedded Devices). | 2 |
About Romain Poussier
Romain Poussier is a scholar working on Hardware and Architecture, Signal Processing and Artificial Intelligence, having authored 8 papers that have together received 55 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (8 papers), Advanced Malware Detection Techniques (4 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (3 papers). The work is most often cited by research in Hardware and Architecture (32 citations), Signal Processing (23 citations) and Artificial Intelligence (49 citations). Romain Poussier has collaborated with scholars based in Singapore, Belgium and Australia. Frequent co-authors include François‐Xavier Standaert, Liran Lerman, Olivier Markowitch, Shivam Bhasin, Jakub Breier, Xiaolu Hou, Siang Meng Sim, Daniel Genkin, Dirmanto Jap and Yuval Yarom. Their work appears in journals such as SHILAP Revista de lepidopterología, IACR Transactions on Cryptographic Hardware and Embedded Systems and ACM Transactions on Architecture and Code Optimization.
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.