Éric Granger
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Handwritten Text Recognition Techniques
- Signal Processing top 1%
- Biometric Identification and Security
Papers in
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- Face and Expression Recognition 56
- Face recognition and analysis 52
- Video Surveillance and Tracking Methods 42
- Advanced Neural Network Applications 27
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- Biometric Identification and Security 32
- Co-authors
- Robert Sabourin (82 shared papers)Wheidima Carneiro de Melo (7 shared papers)Marc‐André Carbonneau (7 shared papers)Ghyslain Gagnon (6 shared papers)Veronika Cheplygina (2 shared papers)Ismail Ben Ayed (18 shared papers)José Dolz (12 shared papers)Hoel Kervadec (5 shared papers)
In The Last Decade
Éric Granger
231 papers receiving 4.8k citations
Éric Granger's Hit Papers
Peers
Comparison fields: 5 of 172
- Computer Vision and Pattern Recognition 2.4k
- Signal Processing 698
- Artificial Intelligence 1.9k
- Experimental and Cognitive Psychology 544
- Media Technology 236
Countries citing papers authored by Éric Granger
This map shows the geographic impact of Éric Granger'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 Éric Granger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Granger more than expected).
Fields of papers citing papers by Éric Granger
This network shows the impact of papers produced by Éric Granger. 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 Éric Granger. The network helps show where Éric Granger may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Granger, 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 240 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multiple instance learning: A survey of problem characteristics and applications Hit paper breakdown → | 2017 | 521 |
| 2 | Boundary loss for highly unbalanced segmentation Hit paper breakdown → | 2020 | 341 |
| 3 | 2019 | 199 | |
| 4 | 2019 | 154 | |
| 5 | 1997 | 144 | |
| 6 | 2021 | 106 | |
| 7 | 2010 | 95 | |
| 8 | 2020 | 86 | |
| 9 | 2019 | 84 | |
| 10 | 2022 | 83 | |
| 11 | 2011 | 83 | |
| 12 | 2019 | 82 | |
| 13 | 2012 | 80 | |
| 14 | 2011 | 74 | |
| 15 | 2013 | 74 | |
| 16 | 2018 | 69 | |
| 17 | 2001 | 69 | |
| 18 | 2023 | 67 | |
| 19 | 2010 | 63 | |
| 20 | 2019 | 62 |
About Éric Granger
Éric Granger is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology and Information Systems, having authored 240 papers that have together received 4.9k indexed citations. Recurring topics across this work include Face and Expression Recognition (56 papers), Face recognition and analysis (52 papers), Video Surveillance and Tracking Methods (42 papers), Biometric Identification and Security (32 papers), Advanced Neural Network Applications (27 papers), Anomaly Detection Techniques and Applications (22 papers), Domain Adaptation and Few-Shot Learning (22 papers) and Emotion and Mood Recognition (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Signal Processing (698 citations), Artificial Intelligence (1.9k citations), Experimental and Cognitive Psychology (544 citations) and Media Technology (236 citations). Éric Granger has collaborated with scholars based in Canada, France and Italy. Frequent co-authors include Robert Sabourin, Wheidima Carneiro de Melo, Marc‐André Carbonneau, Ghyslain Gagnon, Veronika Cheplygina, Ismail Ben Ayed, José Dolz, Hoel Kervadec, Abdenour Hadid and Wael Khreich. Their work appears in journals such as Pattern Recognition, Applied Soft Computing, IEEE Transactions on Affective Computing, Expert Systems with Applications 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.