Romaric Audigier

About

Romaric Audigier is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Romaric Audigier has authored 19 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Romaric Audigier’s work include Domain Adaptation and Few-Shot Learning (7 papers), Anomaly Detection Techniques and Applications (7 papers) and Video Surveillance and Tracking Methods (7 papers). Romaric Audigier is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Anomaly Detection Techniques and Applications (7 papers) and Video Surveillance and Tracking Methods (7 papers). Romaric Audigier collaborates with scholars based in France and Brazil. Romaric Audigier's co-authors include Angélique Loesch, Roberto Lotufo, Samia Aïnouz, Stéphane Canu, Frédéric Lerasle, Jaonary Rabarisoa, Alexandre X. Falcão, Aleksandr Setkov, Amaury Habrard and Sébastien Ambellouis and has published in prestigious journals such as IEEE Access, Image and Vision Computing and Computer Vision and Image Understanding.

In The Last Decade

Co-authorship network of co-authors of Romaric Audigier i

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Fields of papers citing papers by Romaric Audigier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Romaric Audigier

Since Specialization

Citations

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