Éric Granger

6.8k total citations · 2 hit papers
208 papers, 3.9k citations indexed

About

Éric Granger is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Éric Granger has authored 208 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Computer Vision and Pattern Recognition, 86 papers in Artificial Intelligence and 41 papers in Signal Processing. Recurrent topics in Éric Granger's work include Face and Expression Recognition (47 papers), Face recognition and analysis (46 papers) and Video Surveillance and Tracking Methods (33 papers). Éric Granger is often cited by papers focused on Face and Expression Recognition (47 papers), Face recognition and analysis (46 papers) and Video Surveillance and Tracking Methods (33 papers). Éric Granger collaborates with scholars based in Canada, France and United States. Éric Granger's co-authors include Robert Sabourin, Wheidima Carneiro de Melo, Marc‐André Carbonneau, Ghyslain Gagnon, Veronika Cheplygina, Ismail Ben Ayed, José Dolz, Abdenour Hadid, Hoel Kervadec and Wael Khreich and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Transactions on Medical Imaging.

In The Last Decade

Éric Granger

195 papers receiving 3.7k citations

Hit Papers

Multiple instance learning: A survey of problem character... 2017 2026 2020 2023 2017 2020 100 200 300 400

Peers

Éric Granger
Comparison fields: 5 of 172
  • Computer Vision and Pattern Recognition 1.8k
  • Artificial Intelligence 1.5k
  • Signal Processing 510
  • Experimental and Cognitive Psychology 483
  • Radiology, Nuclear Medicine and Imaging 384
Replace Jinbo Bi with:
Jinbo Bi United States
Sicheng Zhao China
Hasan Demirel Cyprus
Yong Man Ro South Korea
Ping Liu China
Mingli Song China
Pavel Pudil Czechia
Jana Novovičová Czechia
Chaitanya Ahuja United States
Ming Dong United States
Jinbo Bi United States View profile →
Citations per field, relative to Éric Granger
Éric Granger · 1×
Citations per year, relative to Éric Granger
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Countries citing papers authored by Éric Granger

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Éric Granger

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Granger. A scholar is included among the top collaborators of Éric Granger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Éric Granger. Éric Granger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 13
5 12
6 70
7 5
8 39
9 14
10
Flow-Guided Attention Networks for Video-Based Person Re-Identification
1
11
Metric learning: cross-entropy vs. pairwise losses
3
12 74
13
Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework.
1
14
An Improved Trade-off Between Accuracy and Complexity with Progressive Gradient Pruning
1
15
Clustering with Fairness Constraints: A Flexible and Scalable Approach
2
16 23
17
Adaptive selection of ensembles for imbalanced class distributions
1
18
On the correlation between genotype and classifier diversity
0
19 5
20
Familiarity Discrimination of Radar Pulses
9

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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