Florent Bernard

37 papers receiving 507 citations

Peers

Florent Bernard
Comparison fields: 5 of 43
  • Hardware and Architecture 178
  • Computer Vision and Pattern Recognition 211
  • Computational Theory and Mathematics 95
  • Artificial Intelligence 170
  • Electrical and Electronic Engineering 191
Replace Yung‐Chih Chen with:
Yung‐Chih Chen Taiwan
Manisha Pattanaik India
Abdolah Amirany Iran
Inki Hong United States
Kian Jafari Iran
Rasit Onur Topaloglu United States
Fang Su China
Peter Debacker Belgium
Naoya Onizawa Japan
Amit Ranjan Trivedi United States
Florent Bernard relative to Yung‐Chih Chen Taiwan Yung‐Chih Chen's profile →
Citations per field
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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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200849
2 201047
3 202043
4 200842
5 200929
6 199926
7 201925
8 200923
9 201021
10 201020
11 201520
12 201217
13 201813
14 200612
15 201411
16 201811
17 201311
18 201010
19 201410
20 20109

About Florent Bernard

Florent Bernard is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Hardware and Architecture and Biomedical Engineering, having authored 41 papers that have together received 527 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (18 papers), Physical Unclonable Functions (PUFs) and Hardware Security (10 papers), Advancements in PLL and VCO Technologies (8 papers), Cryptographic Implementations and Security (8 papers), Acoustic Wave Resonator Technologies (7 papers), Cellular Automata and Applications (6 papers), Shape Memory Alloy Transformations (5 papers) and Ferroelectric and Piezoelectric Materials (4 papers). The work is most often cited by research in Hardware and Architecture (178 citations), Computer Vision and Pattern Recognition (211 citations), Computational Theory and Mathematics (95 citations), Artificial Intelligence (170 citations) and Electrical and Electronic Engineering (191 citations). Florent Bernard has collaborated with scholars based in France, Slovakia and United States. Frequent co-authors include Viktor Fischer, Nathalie Bochard, Alain Aubert, P. Delobelle, Laurent Hirsinger, Yannick Teglia, Christophe Rousselot, Marie Bousquet, Thierry Laroche and C. Rousselot. Their work appears in journals such as Plasma Processes and Polymers, IACR Transactions on Cryptographic Hardware and Embedded Systems, Optics Express, Thin Solid Films 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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