Vincent Grosso
- Artificial Intelligence top 10%
- Hardware and Architecture top 5%
- Computer Vision and Pattern Recognition
- Signal Processing
- Electrical and Electronic Engineering
- Co-authors
- François‐Xavier StandaertSebastian FaustSonia BelaïdTim GüneysuGregor LeanderAmir MoradiQian GuoTobias Schneider
- Topics
- Cryptographic Implementations and Security (13 papers)Chaos-based Image/Signal Encryption (7 papers)Physical Unclonable Functions (PUFs) and Hardware Security (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Information Forensics and SecurityLecture notes in computer science
In The Last Decade
Vincent Grosso
12 papers receiving 128 citations
Peers
Comparison fields: 5 of 13
- Artificial Intelligence 130
- Hardware and Architecture 92
- Computer Vision and Pattern Recognition 52
- Signal Processing 25
- Electrical and Electronic Engineering 10
Countries citing papers authored by Vincent Grosso
This map shows the geographic impact of Vincent Grosso'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 Vincent Grosso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Grosso more than expected).
Fields of papers citing papers by Vincent Grosso
This network shows the impact of papers produced by Vincent Grosso. 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 Vincent Grosso. The network helps show where Vincent Grosso may publish in the future.
Co-authorship network of co-authors of Vincent Grosso
This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Grosso. A scholar is included among the top collaborators of Vincent Grosso 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 Vincent Grosso. Vincent Grosso 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 31 | |
| 13 | 49 | |
| 14 | 10 | |
| 15 | Combining Leakage-Resilient PRFs and Shuffling (Towards Bounded Security for Small Embedded Devices). | 2 |
| 16 | 10 | |
| 17 | 12 | |
| 18 | A Note on the Empirical Evaluation of Security Margins against Algebraic Attacks (with Application to Low Cost-Ciphers LED and Piccolo) | 1 |
About Vincent Grosso
Vincent Grosso is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 135 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (13 papers), Chaos-based Image/Signal Encryption (7 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (6 papers). The work is most often cited by research in Hardware and Architecture (92 citations), Artificial Intelligence (130 citations) and Computer Vision and Pattern Recognition (52 citations). Vincent Grosso has collaborated with scholars based in France, Belgium and Germany. Frequent co-authors include François‐Xavier Standaert, Sebastian Faust, Sonia Belaïd, Tim Güneysu, Gregor Leander, Amir Moradi, Qian Guo, Tobias Schneider, Olivier Bronchain and Pierre-Louis Cayrel. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Forensics and Security and Lecture notes in computer science.
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.