J.‐G. Postaire
Impact in
-
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
-
- Advanced Vision and Imaging 20
- Video Surveillance and Tracking Methods 11
- Medical Image Segmentation Techniques 8
- Image Retrieval and Classification Techniques 8
-
- Neural Networks and Applications 8
- Co-authors
- Ludovic Macaire (8 shared papers)Nicolas Vandenbroucke (5 shared papers)Christian Vasseur (2 shared papers)Yassine Ruichek (9 shared papers)François Cabestaing (3 shared papers)Jean-Christophe Burie (3 shared papers)Sébastien Ambellouis (2 shared papers)Kamal Hammouche (3 shared papers)
In The Last Decade
J.‐G. Postaire
65 papers receiving 537 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 393
- Media Technology 133
- Analytical Chemistry 54
- Artificial Intelligence 156
- Signal Processing 52
Countries citing papers authored by J.‐G. Postaire
This map shows the geographic impact of J.‐G. Postaire'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 J.‐G. Postaire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.‐G. Postaire more than expected).
Fields of papers citing papers by J.‐G. Postaire
This network shows the impact of papers produced by J.‐G. Postaire. 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 J.‐G. Postaire. The network helps show where J.‐G. Postaire may publish in the future.
Co-authors
The 25 scholars most cited alongside J.‐G. Postaire, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 99 | |
| 2 | 1993 | 56 | |
| 3 | 1995 | 52 | |
| 4 | 1981 | 41 | |
| 5 | 1982 | 24 | |
| 6 | 1996 | 22 | |
| 7 | 2006 | 22 | |
| 8 | 1993 | 19 | |
| 9 | 1988 | 18 | |
| 10 | 1995 | 17 | |
| 11 | 1994 | 16 | |
| 12 | 2002 | 16 | |
| 13 | 1989 | 15 | |
| 14 | 1994 | 15 | |
| 15 | 2006 | 12 | |
| 16 | 2004 | 12 | |
| 17 | 2005 | 9 | |
| 18 | 1989 | 8 | |
| 19 | 2006 | 8 | |
| 20 | 2008 | 7 |
About J.‐G. Postaire
J.‐G. Postaire is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Automotive Engineering and Aerospace Engineering, having authored 72 papers that have together received 610 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (20 papers), Video Surveillance and Tracking Methods (11 papers), Autonomous Vehicle Technology and Safety (9 papers), Medical Image Segmentation Techniques (8 papers), Neural Networks and Applications (8 papers), Image Retrieval and Classification Techniques (8 papers), Robotics and Sensor-Based Localization (7 papers) and Spectroscopy and Chemometric Analyses (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (393 citations), Media Technology (133 citations), Analytical Chemistry (54 citations), Artificial Intelligence (156 citations) and Signal Processing (52 citations). J.‐G. Postaire has collaborated with scholars based in France, Algeria and Canada. Frequent co-authors include Ludovic Macaire, Nicolas Vandenbroucke, Christian Vasseur, Yassine Ruichek, François Cabestaing, Jean-Christophe Burie, Sébastien Ambellouis, Kamal Hammouche, Denis Hamad and Moussa Diaf. Their work appears in journals such as Pattern Recognition Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition, Computer Vision and Image Understanding and Mathematical and Computer Modelling.
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.