Michaël Mathieu

12 papers and 3.0k indexed citations i.

About

Michaël Mathieu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Michaël Mathieu has authored 12 papers receiving a total of 3.0k 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 1 paper in Electrical and Electronic Engineering. Recurrent topics in Michaël Mathieu’s work include Advanced Image Processing Techniques (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Neural Networks and Applications (2 papers). Michaël Mathieu is often cited by papers focused on Advanced Image Processing Techniques (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Neural Networks and Applications (2 papers). Michaël Mathieu collaborates with scholars based in United States, Israel and Burundi. Michaël Mathieu's co-authors include Yann LeCun, Pierre Sermanet, David Eigen, Rob Fergus, Xiang Zhang, Camille Couprie, Mikael Henaff, Gérard Ben Arous, Anna Choromanska and Karol Gregor and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Conference on Learning Representations.

In The Last Decade

Co-authorship network of co-authors of Michaël Mathieu i

Fields of papers citing papers by Michaël Mathieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michaël Mathieu

Since Specialization
Citations

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