Antoine Saucier

33 papers and 315 indexed citations i.

About

Antoine Saucier is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Nuclear and High Energy Physics. According to data from OpenAlex, Antoine Saucier has authored 33 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Nuclear and High Energy Physics. Recurrent topics in Antoine Saucier’s work include Image and Signal Denoising Methods (6 papers), NMR spectroscopy and applications (6 papers) and Neural Networks and Applications (5 papers). Antoine Saucier is often cited by papers focused on Image and Signal Denoising Methods (6 papers), NMR spectroscopy and applications (6 papers) and Neural Networks and Applications (5 papers). Antoine Saucier collaborates with scholars based in Canada, Norway and United States. Antoine Saucier's co-authors include Jiri Muller, Robert P. Chapuis, Denis Marcotte, Olaf Huseby, Pejman Tahmasebi, Michel Chouteau, Basil D. Favis, François Soumis, Michel Meunier and François Soumis and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Physics Condensed Matter and Applied Surface Science.

In The Last Decade

Co-authorship network of co-authors of Antoine Saucier i

Fields of papers citing papers by Antoine Saucier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Antoine Saucier

Since Specialization
Citations

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