Michel Paindavoine
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- Advanced Vision and Imaging 16
- Image and Signal Denoising Methods 13
- Image and Object Detection Techniques 12
- Face and Expression Recognition 10
- Media Technology top 5%
- Image Processing Techniques and Applications 18
- Signal Processing top 10%
- Hardware and Architecture top 10%
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- CCD and CMOS Imaging Sensors 23
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- Infrared Target Detection Methodologies 10
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- Industrial Vision Systems and Defect Detection 9
- Co-authors
- Fan YangBarthélémy HeyrmanEl‐Bay BourennaneDominique GinhacPierre GoutonFrédéric CointaultFrédéric TruchetetP. Sarrazin
- Partner nations
- FranceIndonesiaUnited States
In The Last Decade
Michel Paindavoine
86 papers receiving 625 citations
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 295
- Media Technology 109
- Signal Processing 86
- Hardware and Architecture 38
- Electrical and Electronic Engineering 199
Countries citing papers authored by Michel Paindavoine
This map shows the geographic impact of Michel Paindavoine'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 Michel Paindavoine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Paindavoine more than expected).
Fields of papers citing papers by Michel Paindavoine
This network shows the impact of papers produced by Michel Paindavoine. 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 Michel Paindavoine. The network helps show where Michel Paindavoine may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michel Paindavoine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 10 | |
| 4 | 2021 | 14 | |
| 5 | 2020 | 0 | |
| 6 | 2015 | 3 | |
| 7 | 2012 | 19 | |
| 8 | 2010 | 1 | |
| 9 | Pendekatan Kode Rantai Sebagai dasar Pengenalan Karakter | 2009 | 1 |
| 10 | 2007 | 6 | |
| 11 | 2007 | 12 | |
| 12 | Design of a 10000 Frames/s CMOS Sensor with In Situ Image Processing. | 2006 | 0 |
| 13 | Embedded image processing/compression for high-speed CMOS sensor | 2006 | 4 |
| 14 | 2005 | 10 | |
| 15 | 2003 | 121 | |
| 16 | 2002 | 2 | |
| 17 | 2001 | 14 | |
| 18 | 2000 | 3 | |
| 19 | 1998 | 1 | |
| 20 | Automatic surface inspection of metal tubes by artificial vision | 1997 | 5 |
About Michel Paindavoine
Michel Paindavoine is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 102 papers that have together received 677 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (23 papers), Image Processing Techniques and Applications (18 papers), Advanced Vision and Imaging (16 papers), Image and Signal Denoising Methods (13 papers), Image and Object Detection Techniques (12 papers), Face and Expression Recognition (10 papers), Infrared Target Detection Methodologies (10 papers) and Industrial Vision Systems and Defect Detection (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (295 citations), Media Technology (109 citations) and Signal Processing (86 citations). Michel Paindavoine has collaborated with scholars based in France, Indonesia and United States. Frequent co-authors include Fan Yang, Barthélémy Heyrman, El‐Bay Bourennane, Dominique Ginhac, Pierre Gouton, Frédéric Cointault, Fan Yang, Frédéric Truchetet, P. Sarrazin and Julien Dubois. Their work appears in journals such as Sensors, Nutrients and IEEE Journal of Solid-State Circuits.
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.