Maxime Bérar

12 papers and 398 indexed citations i.

About

Maxime Bérar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geometry and Topology. According to data from OpenAlex, Maxime Bérar has authored 12 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Geometry and Topology. Recurrent topics in Maxime Bérar’s work include Morphological variations and asymmetry (3 papers), Multimodal Machine Learning Applications (2 papers) and Image Retrieval and Classification Techniques (2 papers). Maxime Bérar is often cited by papers focused on Morphological variations and asymmetry (3 papers), Multimodal Machine Learning Applications (2 papers) and Image Retrieval and Classification Techniques (2 papers). Maxime Bérar collaborates with scholars based in France. Maxime Bérar's co-authors include Florian Yger, Fabien Lotte, Gérard Bailly, Yves Rozenholc, Françoise Tilotta, Joan Glaunès, Frédéric Elisei, Yohan Payan, Michel Desvignes and Frédéric Richard and has published in prestigious journals such as Remote Sensing, Neurocomputing and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Maxime Bérar i

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.

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).

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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