Stéphane Canu

76 papers and 2.0k indexed citations i.

About

Stéphane Canu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Stéphane Canu has authored 76 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 31 papers in Computer Vision and Pattern Recognition and 10 papers in Computational Mechanics. Recurrent topics in Stéphane Canu’s work include Neural Networks and Applications (15 papers), Sparse and Compressive Sensing Techniques (10 papers) and Face and Expression Recognition (10 papers). Stéphane Canu is often cited by papers focused on Neural Networks and Applications (15 papers), Sparse and Compressive Sensing Techniques (10 papers) and Face and Expression Recognition (10 papers). Stéphane Canu collaborates with scholars based in France, Germany and Austria. Stéphane Canu's co-authors include Su Ruan, Tongxue Zhou, Alain Rakotomamonjy, Yves Grandvalet, Gilles Gasso, Pierre Véra, Alex Smola, Francis Bach, Rémi Flamary and Quoc V. Le and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Stéphane Canu i

Fields of papers citing papers by Stéphane Canu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Stéphane Canu

Since Specialization
Citations

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