David Gérault

676 citations
30 papers · 339 · h-index 11

Impact in

Papers in

David Gérault

27 papers receiving 329 citations

Peers

David Gérault
Comparison fields: 5 of 22
  • Hardware and Architecture 95
  • Computer Vision and Pattern Recognition 228
  • Artificial Intelligence 310
  • Signal Processing 44
  • Computer Networks and Communications 20
Replace Yonglin Hao with:
Yonglin Hao China
Jorge Nakahara Belgium
Valentin Suder France
Marcin Rogawski United States
Ronny Van Keer Netherlands
Ekawat Homsirikamol United States
Jie Guan China
Hassen Mestiri Tunisia
Olivier Bronchain Belgium
Mohamed Ahmed Abdelraheem Denmark
David Gérault relative to Yonglin Hao China Yonglin Hao's profile →
Citations per field
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Yonglin Hao · 1×
Citations per year

Countries citing papers authored by David Gérault

Since Specialization
Citations

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

Fields of papers citing papers by David Gérault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Gérault, 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 David Gérault Line = papers co-authored together David Gérault links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202167
2 201759
3 201635
4 201830
5 202119
6 201916
7 201614
8 202313
9 201612
10 202310
11 202310
12 20177
13 20177
14 20246
15 20206
16 20205
17 20234
18 20243
19 20203
20 20203

About David Gérault

David Gérault is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 30 papers that have together received 339 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (22 papers), Chaos-based Image/Signal Encryption (13 papers), Coding theory and cryptography (9 papers), Physical Unclonable Functions (PUFs) and Hardware Security (6 papers), Cryptography and Data Security (5 papers), Advanced Authentication Protocols Security (4 papers), Advanced Malware Detection Techniques (4 papers) and RFID technology advancements (2 papers). The work is most often cited by research in Hardware and Architecture (95 citations), Computer Vision and Pattern Recognition (228 citations), Artificial Intelligence (310 citations), Signal Processing (44 citations) and Computer Networks and Communications (20 citations). David Gérault has collaborated with scholars based in United Arab Emirates, France and United Kingdom. Frequent co-authors include Pascal Lafourcade, Thomas Peyrin, Marine Minier, Christine Solnon, Emanuele Bellini, Yosuke Todo, Lei Hu, Siwei Sun, Kexin Qiao and Matteo Rossi. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, Lecture notes in computer science, Artificial Intelligence, Information Processing Letters and HAL (Le Centre pour la Communication Scientifique Directe).

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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