Rémi Cadène

10 papers and 799 indexed citations i.

About

Rémi Cadène is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Rémi Cadène has authored 10 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Rémi Cadène’s work include Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Rémi Cadène is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Rémi Cadène collaborates with scholars based in France, United States and Italy. Rémi Cadène's co-authors include Paolo Napoletano, Simone Bianco, Luigi Celona, Matthieu Cord, Hedi Ben-younes, Nicolas Thome, T. Serre, Damien Teney, Matthew Ricci and Julien Colin and has published in prestigious journals such as IEEE Access, Neural Computation and Current Opinion in Behavioral Sciences.

In The Last Decade

Co-authorship network of co-authors of Rémi Cadène i

Fields of papers citing papers by Rémi Cadène

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rémi Cadène

Since Specialization
Citations

This map shows the geographic impact of Rémi Cadène'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 Rémi Cadène with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rémi Cadène 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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2025