Maxime Bérar

869 total citations
15 papers, 488 citations indexed

About

Maxime Bérar is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology and Signal Processing. According to data from OpenAlex, Maxime Bérar has authored 15 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Geometry and Topology and 3 papers in Signal Processing. Recurrent topics in Maxime Bérar's work include Morphological variations and asymmetry (4 papers), Face and Expression Recognition (3 papers) and Image Retrieval and Classification Techniques (3 papers). Maxime Bérar is often cited by papers focused on Morphological variations and asymmetry (4 papers), Face and Expression Recognition (3 papers) and Image Retrieval and Classification Techniques (3 papers). Maxime Bérar collaborates with scholars based in France and Tunisia. Maxime Bérar's co-authors include Florian Yger, Fabien Lotte, Gérard Bailly, Françoise Tilotta, Joan Glaunès, Yves Rozenholc, Frédéric Elisei, Yohan Payan, Michel Desvignes and Frédéric Richard and has published in prestigious journals such as Remote Sensing, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

Maxime Bérar

13 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxime Bérar France 8 263 110 105 87 74 15 488
Won-Du Chang South Korea 13 291 1.1× 65 0.6× 49 0.5× 32 0.4× 12 0.2× 52 563
Yongshuo Zong China 8 139 0.5× 43 0.4× 78 0.7× 58 0.7× 11 355
Ausilah Alfraihat Jordan 7 328 1.2× 92 0.8× 17 0.2× 63 0.7× 3 0.0× 10 455
Fakhita Regragui Morocco 10 221 0.8× 28 0.3× 69 0.7× 65 0.7× 27 360
Bahador Makkiabadi Iran 13 191 0.7× 100 0.9× 33 0.3× 47 0.5× 71 538
Jinfu Yang China 12 274 1.0× 111 1.0× 79 0.8× 124 1.4× 34 420
Kaiwen Cheng China 11 261 1.0× 74 0.7× 85 0.8× 113 1.3× 23 464
Ming Meng China 14 348 1.3× 78 0.7× 76 0.7× 69 0.8× 56 541

Countries citing papers authored by Maxime Bérar

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Bérar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxime Bérar

This figure shows the co-authorship network connecting the top 25 collaborators of Maxime Bérar. A scholar is included among the top collaborators of Maxime Bérar 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 Maxime Bérar. Maxime Bérar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Pacheco, Fannia, et al.. (2025). Universal Domain Adaptation Benchmark for Time Series Data Representation. ArXiv.org. 1109–1113.
2.
Bérar, Maxime, et al.. (2024). Graph node matching for edit distance. Pattern Recognition Letters. 184. 14–20. 2 indexed citations
3.
Bérar, Maxime, et al.. (2024). Contrastive Learning for Regression on Hyperspectral Data. SPIRE - Sciences Po Institutional REpository. 5080–5084.
4.
Bérar, Maxime, et al.. (2023). Unsupervised domain adaptation for regression using dictionary learning. Knowledge-Based Systems. 267. 110439–110439. 9 indexed citations
5.
Bérar, Maxime, et al.. (2022). End-to-End Convolutional Autoencoder for Nonlinear Hyperspectral Unmixing. Remote Sensing. 14(14). 3341–3341. 6 indexed citations
6.
Bérar, Maxime, et al.. (2019). Online multimodal dictionary learning. Neurocomputing. 368. 163–179. 8 indexed citations
7.
8.
Yger, Florian, Maxime Bérar, & Fabien Lotte. (2016). Riemannian Approaches in Brain-Computer Interfaces: A Review. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 25(10). 1753–1762. 264 indexed citations
9.
Yger, Florian, Maxime Bérar, Gilles Gasso, & Alain Rakotomamonjy. (2012). Oblique principal subspace tracking on manifold. 2429–2432. 7 indexed citations
10.
Bérar, Maxime, Françoise Tilotta, Joan Glaunès, & Yves Rozenholc. (2011). Craniofacial reconstruction as a prediction problem using a Latent Root Regression model. Forensic Science International. 210(1-3). 228–236. 28 indexed citations
11.
Tilotta, Françoise, et al.. (2009). Construction and analysis of a head CT-scan database for craniofacial reconstruction. Forensic Science International. 191(1-3). 112.e1–112.e12. 57 indexed citations
12.
Bérar, Maxime, Michel Desvignes, Gérard Bailly, & Yohan Payan. (2006). 3D Semi-Landmarks Based Statistical Face Reconstruction. Journal of Computing and Information Technology. 14(1). 31–31. 27 indexed citations
13.
Bérar, Maxime, Michel Desvignes, Gérard Bailly, & Yohan Payan. (2005). 3D statistical facial reconstruction. arXiv (Cornell University). 365–370. 19 indexed citations
14.
Bailly, Gérard, et al.. (2003). Audiovisual Speech Synthesis. International Journal of Speech Technology. 6(4). 331–346. 54 indexed citations
15.
Bérar, Maxime, et al.. (2003). Towards a generic talking head. 1 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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2026