François Laviolette

63 papers and 2.7k indexed citations i.

About

François Laviolette is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, François Laviolette has authored 63 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 19 papers in Computational Theory and Mathematics and 16 papers in Molecular Biology. Recurrent topics in François Laviolette’s work include Machine Learning and Algorithms (14 papers), Muscle activation and electromyography studies (7 papers) and Imbalanced Data Classification Techniques (7 papers). François Laviolette is often cited by papers focused on Machine Learning and Algorithms (14 papers), Muscle activation and electromyography studies (7 papers) and Imbalanced Data Classification Techniques (7 papers). François Laviolette collaborates with scholars based in Canada, France and Germany. François Laviolette's co-authors include Jacques Corbeil, Sébastien Boisvert, Mario Marchand, Benoit Gosselin, Ulysse Côté‐Allard, Frédéric Raymond, Alexandre Drouin, Cheikh Latyr Fall, Clément Gosselin and Alexandre Campeau‐Lecours and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Genome biology.

In The Last Decade

Co-authorship network of co-authors of François Laviolette i

Fields of papers citing papers by François Laviolette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by François Laviolette

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025