David Samyde
Impact in
- Hardware and Architecture top 10%
- Physical Unclonable Functions (PUFs) and Hardware Security
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- Advanced Malware Detection Techniques
Papers in
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- Cryptographic Implementations and Security 7
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- Physical Unclonable Functions (PUFs) and Hardware Security 4
- Parallel Computing and Optimization Techniques 1
- Co-authors
- Jean-Jacques Quisquater (3 shared papers)Michael Neve (2 shared papers)J.-J. Quisquater (1 shared paper)Eric Peeters (1 shared paper)François‐Xavier Standaert (1 shared paper)Colin D. Walter (1 shared paper)
- Journals
- Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (4 papers)
In The Last Decade
David Samyde
6 papers receiving 55 citations
Peers
Comparison fields: 5 of 12
- Hardware and Architecture 37
- Signal Processing 19
- Artificial Intelligence 55
- Computer Vision and Pattern Recognition 15
- Computer Networks and Communications 10
Countries citing papers authored by David Samyde
This map shows the geographic impact of David Samyde'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 David Samyde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Samyde more than expected).
Fields of papers citing papers by David Samyde
This network shows the impact of papers produced by David Samyde. 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 David Samyde. The network helps show where David Samyde may publish in the future.
Co-authors
The 6 scholars most cited alongside David Samyde, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Side channel cryptanalysis | 2002 | 20 |
| 2 | 2005 | 15 | |
| 3 | Automatic Code Recognition for Smartcards Using a Kohonen Neural Network | 2002 | 14 |
| 4 | Principal and Independent Component Analysis for Crypto-systems with Hardware Unmasked Units | 2003 | 6 |
| 5 | Differential Power Analysis of FPGAs : How Practical is the Attack? | 2003 | 6 |
| 6 | 2005 | 3 | |
| 7 | Power analysis of FPGAs: How practical is the attack ? | 2003 | 0 |
About David Samyde
David Samyde is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition, Signal Processing and Molecular Biology, having authored 7 papers that have together received 64 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (4 papers), Chaos-based Image/Signal Encryption (3 papers), Blind Source Separation Techniques (1 paper), Low-power high-performance VLSI design (1 paper), Fractal and DNA sequence analysis (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (37 citations), Signal Processing (19 citations), Artificial Intelligence (55 citations), Computer Vision and Pattern Recognition (15 citations) and Computer Networks and Communications (10 citations). David Samyde has collaborated with scholars based in Belgium, Australia and France. Frequent co-authors include Jean-Jacques Quisquater, Michael Neve, J.-J. Quisquater, Eric Peeters, François‐Xavier Standaert and Colin D. Walter. Their work appears in journals such as Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).
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.