David Picard
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
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- Image Retrieval and Classification Techniques 15
- Advanced Image and Video Retrieval Techniques 14
- Human Pose and Action Recognition 9
- Video Surveillance and Tracking Methods 5
- Medical Image Segmentation Techniques 3
- Image Processing and 3D Reconstruction 2
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- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Hedi Tabia (6 shared papers)Diogo Luvizon (5 shared papers)Philippe-Henri Gosselin (8 shared papers)Dominique Leguillon (2 shared papers)Matthieu Cord (5 shared papers)Hamid Laga (1 shared paper)Hedi Tabia (1 shared paper)Adrian Popescu (2 shared papers)
- Journals
- Neurocomputing (2 papers)Pattern Recognition (2 papers)Pattern Recognition Letters (2 papers)IEEE Signal Processing Magazine (1 paper)Information Sciences (1 paper)
- Partner nations
- FranceSouth KoreaSwitzerland
In The Last Decade
David Picard
35 papers receiving 810 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 593
- Human-Computer Interaction 104
- Space and Planetary Science 20
- Artificial Intelligence 262
- Geology 26
Countries citing papers authored by David Picard
This map shows the geographic impact of David Picard'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 Picard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Picard more than expected).
Fields of papers citing papers by David Picard
This network shows the impact of papers produced by David Picard. 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 Picard. The network helps show where David Picard may publish in the future.
Co-authors
The 25 scholars most cited alongside David Picard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 133 | |
| 2 | 2020 | 93 | |
| 3 | 2014 | 84 | |
| 4 | 2017 | 72 | |
| 5 | 2023 | 67 | |
| 6 | 2005 | 64 | |
| 7 | 2020 | 42 | |
| 8 | 2018 | 35 | |
| 9 | 2010 | 26 | |
| 10 | 2021 | 22 | |
| 11 | 2022 | 21 | |
| 12 | 2013 | 19 | |
| 13 | 2015 | 19 | |
| 14 | 2013 | 17 | |
| 15 | 2014 | 16 | |
| 16 | 2014 | 14 | |
| 17 | 2023 | 10 | |
| 18 | 2016 | 10 | |
| 19 | 2008 | 9 | |
| 20 | 2008 | 9 |
About David Picard
David Picard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Industrial and Manufacturing Engineering, Space and Planetary Science and Mechanics of Materials, having authored 40 papers that have together received 835 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (15 papers), Advanced Image and Video Retrieval Techniques (14 papers), Human Pose and Action Recognition (9 papers), Video Surveillance and Tracking Methods (5 papers), Industrial Vision Systems and Defect Detection (3 papers), Medical Image Segmentation Techniques (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Image Processing and 3D Reconstruction (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (593 citations), Human-Computer Interaction (104 citations), Space and Planetary Science (20 citations), Artificial Intelligence (262 citations) and Geology (26 citations). David Picard has collaborated with scholars based in France, South Korea and Switzerland. Frequent co-authors include Hedi Tabia, Diogo Luvizon, Philippe-Henri Gosselin, Dominique Leguillon, Matthieu Cord, Hamid Laga, Hedi Tabia, Adrian Popescu, Arnaud Revel and Nicolas Thome. Their work appears in journals such as Neurocomputing, Pattern Recognition, Pattern Recognition Letters, IEEE Signal Processing Magazine and Information Sciences.
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.