Patrick Le Callet

10.6k total citations · 1 hit paper
253 papers, 4.9k citations indexed

About

Patrick Le Callet is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, Patrick Le Callet has authored 253 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 208 papers in Computer Vision and Pattern Recognition, 51 papers in Cognitive Neuroscience and 46 papers in Media Technology. Recurrent topics in Patrick Le Callet's work include Image and Video Quality Assessment (154 papers), Visual Attention and Saliency Detection (72 papers) and Image Enhancement Techniques (48 papers). Patrick Le Callet is often cited by papers focused on Image and Video Quality Assessment (154 papers), Visual Attention and Saliency Detection (72 papers) and Image Enhancement Techniques (48 papers). Patrick Le Callet collaborates with scholars based in France, China and United States. Patrick Le Callet's co-authors include Dominique Barba, Manish Narwaria, Olivier Le Meur, Patrizio Campisi, Matthieu Perreira Da Silva, Guangtao Zhai, Marcus Barkowsky, Romuald Pépion, Romain Cousseau and Alexandre Benoît and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Image Processing.

In The Last Decade

Patrick Le Callet

235 papers receiving 4.7k citations

Hit Papers

Screen Content Quality Assessment: Overview, Benchmark, a... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Patrick Le Callet France 35 4.2k 1.4k 663 470 440 253 4.9k
Xiongkuo Min China 39 5.5k 1.3× 2.1k 1.6× 455 0.7× 347 0.7× 478 1.1× 244 6.8k
S.S. Hemami United States 27 5.5k 1.3× 1.2k 0.9× 582 0.9× 260 0.6× 668 1.5× 126 5.9k
King Ngi Ngan Hong Kong 41 6.3k 1.5× 1.2k 0.9× 188 0.3× 235 0.5× 1.7k 3.8× 378 7.1k
James H. Elder Canada 24 2.0k 0.5× 375 0.3× 1.6k 2.4× 185 0.4× 748 1.7× 94 4.2k
Diego Gutiérrez Spain 36 3.0k 0.7× 638 0.5× 423 0.6× 389 0.8× 87 0.2× 213 4.6k
Alan Chalmers United Kingdom 27 2.2k 0.5× 285 0.2× 528 0.8× 453 1.0× 75 0.2× 255 3.4k
Olivier Le Meur France 25 2.9k 0.7× 353 0.3× 713 1.1× 64 0.1× 121 0.3× 89 3.2k
Kurt Debattista United Kingdom 25 1.6k 0.4× 230 0.2× 256 0.4× 334 0.7× 137 0.3× 164 2.5k
Rafał Mantiuk United Kingdom 33 4.3k 1.0× 1.0k 0.7× 508 0.8× 1.3k 2.8× 305 0.7× 167 4.9k
Jia Li China 35 3.1k 0.7× 491 0.4× 319 0.5× 64 0.1× 269 0.6× 172 4.1k

Countries citing papers authored by Patrick Le Callet

Since Specialization
Citations

This map shows the geographic impact of Patrick Le Callet'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 Patrick Le Callet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Le Callet more than expected).

Fields of papers citing papers by Patrick Le Callet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Le Callet. 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 Patrick Le Callet. The network helps show where Patrick Le Callet may publish in the future.

Co-authorship network of co-authors of Patrick Le Callet

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Le Callet. A scholar is included among the top collaborators of Patrick Le Callet 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 Patrick Le Callet. Patrick Le Callet 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
1.
Liu, Yang, et al.. (2025). ESIQA: Perceptual Quality Assessment of Vision-Pro-based Egocentric Spatial Images. IEEE Transactions on Visualization and Computer Graphics. 31(5). 2277–2287. 6 indexed citations
2.
Chen, Weiling, et al.. (2025). Utility-Centered Underwater Image Quality Evaluation. IEEE Journal of Oceanic Engineering. 50(2). 743–757.
3.
Quan, Yuhui, et al.. (2025). Enhancing CNN-Based Blind Image Quality Assessment via Deep Cross-Layer Pattern Encoding. IEEE Transactions on Multimedia. 27. 9712–9722.
5.
Huang, Yan, Xuefeng Liao, Jinxiu Liang, et al.. (2024). Detail-Preserving Diffusion Models for Low-Light Image Enhancement. IEEE Transactions on Circuits and Systems for Video Technology. 35(4). 3396–3409. 1 indexed citations
6.
Krasula, Lukáš, et al.. (2024). Comparison of Subjective Methodologies For Local Perception of Distortion in Videos and Impact on Objective Metrics Resolving Power. Electronic Imaging. 36(11). 217–1. 1 indexed citations
7.
Silva, Matthieu Perreira Da, et al.. (2023). Déploiement de l’IA en situation de travail : une trop faible considération de l’expérience des employé·es ?. SPIRE - Sciences Po Institutional REpository. n° 16(2). 68–85.
8.
Katsavounidis, Ioannis, et al.. (2023). Video Consumption in Context: Influence of Data Plan Consumption on QoE. SPIRE - Sciences Po Institutional REpository. 320–324.
9.
Zhang, Tao, et al.. (2022). Specialised Video Quality Model For Enhanced User Generated Content (UGC) With Special Effects. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2040–2044. 1 indexed citations
10.
Duan, Huiyu, Xiongkuo Min, Yucheng Zhu, et al.. (2022). Confusing Image Quality Assessment: Toward Better Augmented Reality Experience. IEEE Transactions on Image Processing. 31. 7206–7221. 48 indexed citations
11.
Che, Zhaohui, Ali Borji, Guangtao Zhai, et al.. (2019). GazeGAN: A Generative Adversarial Saliency Model based on Invariance Analysis of Human Gaze During Scene Free Viewing.. arXiv (Cornell University). 5 indexed citations
12.
Zhang, Wei, et al.. (2019). A Novel Method for Assessing the Spatial Presence of Omnidirectional Videos: Comparing Virtual and Real World. IEEE Access. 7. 183405–183413. 4 indexed citations
13.
Masala, Enrico, et al.. (2018). Improved Performance Measures for Video Quality Assessment Algorithms Using Training and Validation Sets. IEEE Transactions on Multimedia. 21(8). 2026–2041. 8 indexed citations
14.
Yuan, Yuan, Gene Cheung, Patrick Le Callet, Pascal Frossard, & Hang Zhao. (2017). Object Shape Approximation and Contour Adaptive Depth Image Coding for Virtual View Synthesis. IEEE Transactions on Circuits and Systems for Video Technology. 28(12). 3437–3451. 14 indexed citations
15.
Badano, Aldo, Paul A. Boynton, Patrick Le Callet, et al.. (2016). Technical Note: Gray tracking in medical color displays—A report of Task Group 196. Medical Physics. 43(7). 4017–4022. 2 indexed citations
16.
Callet, Patrick Le, et al.. (2016). HEVC saliency map computation. Electronic Imaging. 28(16). 1–8. 1 indexed citations
17.
Narwaria, Manish, Matthieu Perreira Da Silva, & Patrick Le Callet. (2015). Study of high dynamic range video quality assessment. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9599. 95990V–95990V. 9 indexed citations
18.
Xu, Yong, et al.. (2014). Directional regularity for visual quality estimation. Signal Processing. 110. 211–221. 7 indexed citations
19.
Sarkar, Abhijit, et al.. (2010). Toward Reducing Observer Metamerism in Industrial Applications: Colorimetric Observer Categories and Observer Classification. Color and Imaging Conference. 18(1). 307–313. 13 indexed citations
20.
Sarkar, Abhijit, et al.. (2010). A color matching experiment using two displays: design considerations and pilot test results. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

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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