Florent Bernard

46 papers receiving 958 citations

Peers

Florent Bernard
Comparison fields: 5 of 75
  • Hardware and Architecture 220
  • Computer Vision and Pattern Recognition 287
  • Computational Theory and Mathematics 128
  • Artificial Intelligence 214
  • Cell Biology 77
Replace Isaac T. Yonemoto with:
Isaac T. Yonemoto United States
Kyu-Ho Paul Park South Korea
Zhi feng Huang China
Litao Zhang China
Seong‐Ook Jung South Korea
Masaya Iwata Japan
Sebastian Höppner Germany
Steven P. Levitan United States
Harvard S. Hinton United States
Habib Mehrez France
Florent Bernard relative to Isaac T. Yonemoto United States Isaac T. Yonemoto's profile →
Citations per field
00.5×2×4×5.9×
Isaac T. Yonemoto · 1×
Citations per year

Countries citing papers authored by Florent Bernard

Since Specialization
Citations

This map shows the geographic impact of Florent Bernard'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 Florent Bernard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florent Bernard more than expected).

Fields of papers citing papers by Florent Bernard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florent Bernard. 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 Florent Bernard. The network helps show where Florent Bernard may publish in the future.

Co-authors

The 25 scholars most cited alongside Florent Bernard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Florent Bernard Line = papers co-authored together Florent Bernard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999236
2 200156
3 200855
4 201052
5 200150
6 202049
7 200847
8 201029
9 200929
10 201527
11 200926
12 201926
13 199926
14 201026
15 201520
16 201218
17 201116
18 201416
19 201416
20 201815

About Florent Bernard

Florent Bernard is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 52 papers that have together received 988 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (21 papers), Physical Unclonable Functions (PUFs) and Hardware Security (11 papers), Acoustic Wave Resonator Technologies (11 papers), Advancements in PLL and VCO Technologies (9 papers), Cryptographic Implementations and Security (8 papers), Cellular Automata and Applications (7 papers), Shape Memory Alloy Transformations (5 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). The work is most often cited by research in Hardware and Architecture (220 citations), Computer Vision and Pattern Recognition (287 citations), Computational Theory and Mathematics (128 citations), Artificial Intelligence (214 citations) and Cell Biology (77 citations). Florent Bernard has collaborated with scholars based in France, Belgium and Slovakia. Frequent co-authors include Viktor Fischer, Bruno André, Nathalie Bochard, Johan‐Owen De Craene, Antonio Urrestarazu, Eckhard Boles, Stephan VISSERS, Ismaïl Iraqui, Alain Aubert and Michal Varchola. Their work appears in journals such as IACR Transactions on Cryptographic Hardware and Embedded Systems, Plasma Processes and Polymers, Thin Solid Films, Journal of Systems Architecture and Journal of Cryptology.

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.

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