Olivier Lézoray

3.3k total citations
95 papers, 1.5k citations indexed

About

Olivier Lézoray is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Olivier Lézoray has authored 95 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 17 papers in Media Technology. Recurrent topics in Olivier Lézoray's work include Medical Image Segmentation Techniques (31 papers), Image Retrieval and Classification Techniques (27 papers) and Visual Attention and Saliency Detection (12 papers). Olivier Lézoray is often cited by papers focused on Medical Image Segmentation Techniques (31 papers), Image Retrieval and Classification Techniques (27 papers) and Visual Attention and Saliency Detection (12 papers). Olivier Lézoray collaborates with scholars based in France, Morocco and Algeria. Olivier Lézoray's co-authors include Abderrahim Elmoataz, Sébastien Bougleux, Hubert Cardot, Christophe Charrier, Boudjelal Meftah, Abdelkader Benyettou, David Tschumperlé, Cyril Meurie, Vinh‐Thong Ta and Louahdi Khoudour and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Olivier Lézoray

91 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olivier Lézoray France 19 958 436 228 207 113 95 1.5k
Martin Heusel Austria 6 1.7k 1.8× 585 1.3× 139 0.6× 130 0.6× 50 0.4× 6 2.5k
Abderrahim Elmoataz France 19 662 0.7× 300 0.7× 161 0.7× 225 1.1× 195 1.7× 82 1.2k
Davi Geiger United States 22 1.5k 1.6× 222 0.5× 201 0.9× 213 1.0× 49 0.4× 72 2.0k
Meirav Galun Israel 21 1.3k 1.3× 162 0.4× 169 0.7× 289 1.4× 57 0.5× 41 1.8k
Ramakrishnan Mukundan New Zealand 22 2.2k 2.3× 301 0.7× 437 1.9× 117 0.6× 55 0.5× 103 2.8k
Tim Salimans United States 8 1.2k 1.3× 673 1.5× 285 1.3× 121 0.6× 27 0.2× 14 2.0k
Alex Bronstein Israel 28 1.8k 1.9× 516 1.2× 291 1.3× 772 3.7× 54 0.5× 100 2.8k
Thrasyvoulos N. Pappas United States 28 2.0k 2.1× 279 0.6× 431 1.9× 104 0.5× 114 1.0× 154 3.2k
Pablo Sprechmann United States 14 764 0.8× 415 1.0× 187 0.8× 494 2.4× 29 0.3× 36 1.5k
Jaejun Yoo South Korea 10 1.3k 1.4× 262 0.6× 170 0.7× 132 0.6× 32 0.3× 39 1.9k

Countries citing papers authored by Olivier Lézoray

Since Specialization
Citations

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

Fields of papers citing papers by Olivier Lézoray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olivier Lézoray. 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 Olivier Lézoray. The network helps show where Olivier Lézoray may publish in the future.

Co-authorship network of co-authors of Olivier Lézoray

This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Lézoray. A scholar is included among the top collaborators of Olivier Lézoray 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 Olivier Lézoray. Olivier Lézoray 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.
Meurie, Cyril & Olivier Lézoray. (2025). A comprehensive review of on-board action recognition models in public transportation systems. Expert Systems with Applications. 290. 128311–128311.
2.
Bougleux, Sébastien, et al.. (2025). Assessing the quality of whole slide images in cytology from nuclei features. Journal of Pathology Informatics. 17. 100420–100420.
3.
Lézoray, Olivier, et al.. (2024). No Reference 3D Mesh Quality Assessment Learned From Quality Scores on 2D Projections. IEEE Access. 12. 106924–106936.
4.
Lézoray, Olivier, et al.. (2024). A Fully Automatic Colorimetric Saliency Detection Approach for 3D Meshes. 1–5. 1 indexed citations
5.
Bougleux, Sébastien, et al.. (2022). Whole Slide Image Quality in Digital Pathology: Review and Perspectives. IEEE Access. 10. 131005–131035. 17 indexed citations
6.
7.
Charrier, Christophe, et al.. (2015). Mesh saliency with adaptive local patches. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9393. 93930D–93930D. 2 indexed citations
8.
Tschumperlé, David, et al.. (2015). Exemplar-based Inpainting: Technical Review and new Heuristics for better Geometric Reconstructions. IEEE Transactions on Image Processing. 24(6). 1–1. 74 indexed citations
9.
Charrier, Christophe, et al.. (2015). Multi-scale saliency of 3D colored meshes. 33. 2820–2824. 6 indexed citations
10.
Elmoataz, Abderrahim, et al.. (2014). Image and Signal Processing: 6th International Conference, ICISP 2014, Cherbourg, France, June 20 -- July 2, 2014, Proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 4 indexed citations
11.
Ta, Vinh‐Thong, Olivier Lézoray, & Abderrahim Elmoataz. (2013). Graphs regularization for data sets and images: Filtering and semi-supervised classification.
12.
Rosenberger, Christophe, et al.. (2012). A Machine Learning Regression scheme to design a FR-Image Quality Assessment Algorithm. Conference on Colour in Graphics Imaging and Vision. 6(1). 35–42. 2 indexed citations
13.
Elmoataz, Abderrahim, et al.. (2009). Nonlocal Graph Morphology. 1 indexed citations
14.
Elmoataz, Abderrahim, et al.. (2008). Image and Signal Processing - 3rd International Conference, ICISP 2008, Cherbourg-Octeville, France, July 1-3, 2008, Proceedings. 7 indexed citations
15.
Lézoray, Olivier & Christophe Charrier. (2008). Color image segmentation using morphological clustering and fusion with automatic scale selection. Pattern Recognition Letters. 30(4). 397–406. 29 indexed citations
16.
Lézoray, Olivier, Abderrahim Elmoataz, & Sébastien Bougleux. (2007). Graph regularization for color image processing. Computer Vision and Image Understanding. 107(1-2). 38–55. 31 indexed citations
17.
Lézoray, Olivier, et al.. (2005). Hiérarchie de partitions pour la simplification et la segmentation d'images couleur. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
18.
Lézoray, Olivier & Christophe Charrier. (2004). 3 - Segmentation d'images couleur par coalescence non supervisée d'histogrammes 2D et fusion de régions selon la théorie de Dempster-Shafer. Traitement du signal. 21(6). 605–621. 1 indexed citations
19.
Meurie, Cyril, et al.. (2003). A comparison of supervised pixel-based color image segmentation methods. Application in cancerology. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
20.
Lézoray, Olivier & Hubert Cardot. (2001). A neural network architecture for data classification. International Journal of Neural Systems. 11(1). 33–42. 15 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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