Franck Davoine

2.2k citations
51 papers · 973 · h-index 17

Impact in

Papers in

Franck Davoine

51 papers receiving 913 citations

Peers

Franck Davoine
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 594
  • Computational Mathematics 11
  • Experimental and Cognitive Psychology 145
  • Computer Graphics and Computer-Aided Design 28
  • Automotive Engineering 83
Replace Loong‐Fah Cheong with:
Loong‐Fah Cheong Singapore
Siu‐Yeung Cho Singapore
Shuyuan Zhu China
Jia Guo China
Sotiris Malassiotis Greece
Tae-Hyun Oh South Korea
Aytül Erçi̇l Türkiye
Wenxiu Sun Hong Kong
Riad Hammoud United States
Suk‐Ju Kang South Korea
Franck Davoine relative to Loong‐Fah Cheong Singapore Loong‐Fah Cheong's profile →
Citations per field
00.5×4.0×
Loong‐Fah Cheong · 1×
Citations per year

Countries citing papers authored by Franck Davoine

Since Specialization
Citations

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

Fields of papers citing papers by Franck Davoine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200485
2 200280
3 199671
4 201971
5 201554
6 196953
7 200752
8 200648
9 201945
10 201239
11 201835
12 201331
13 202129
14 201428
15 200522
16 201921
17 202119
18 201216
19 199714
20 200014

About Franck Davoine

Franck Davoine is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Environmental Engineering and Aerospace Engineering, having authored 51 papers that have together received 973 indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Face recognition and analysis (11 papers), Video Surveillance and Tracking Methods (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Remote Sensing and LiDAR Applications (6 papers), Advanced Steganography and Watermarking Techniques (5 papers), Robotics and Sensor-Based Localization (5 papers) and Autonomous Vehicle Technology and Safety (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (594 citations), Computational Mathematics (11 citations), Experimental and Cognitive Psychology (145 citations), Computer Graphics and Computer-Aided Design (28 citations) and Automotive Engineering (83 citations). Franck Davoine has collaborated with scholars based in France, China and United States. Frequent co-authors include Fadi Dornaika, Hongbin Zha, Marine Masson, Séverine Dubuisson, J.-M. Chassery, Philippe Xu, Xuhong Li, Yves Grandvalet, Huijing Zhao and P. Pinard. Their work appears in journals such as Machine Vision and Applications, IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition, Signal Processing Image Communication and IEEE Transactions on Intelligent Transportation Systems.

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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