Benoit Dubuc

12 papers and 556 indexed citations i.

About

Benoit Dubuc is a scholar working on Computer Vision and Pattern Recognition, Condensed Matter Physics and Cognitive Neuroscience. According to data from OpenAlex, Benoit Dubuc has authored 12 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Condensed Matter Physics and 3 papers in Cognitive Neuroscience. Recurrent topics in Benoit Dubuc’s work include Theoretical and Computational Physics (4 papers), Visual perception and processing mechanisms (3 papers) and Medical Image Segmentation Techniques (3 papers). Benoit Dubuc is often cited by papers focused on Theoretical and Computational Physics (4 papers), Visual perception and processing mechanisms (3 papers) and Medical Image Segmentation Techniques (3 papers). Benoit Dubuc collaborates with scholars based in Canada, United States and France. Benoit Dubuc's co-authors include Steven W. Zucker, Claude Tricot, C. Roques‐Carmes, Serge Dubuc, R. Tawashi and Roch Thibert and has published in prestigious journals such as International Journal of Computer Vision, SIAM Journal on Numerical Analysis and Journal of Mathematical Imaging and Vision.

In The Last Decade

Co-authorship network of co-authors of Benoit Dubuc i

Fields of papers citing papers by Benoit Dubuc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Benoit Dubuc

Since Specialization
Citations

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