Mario Marchand

51 papers and 1.3k indexed citations i.

About

Mario Marchand is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Mario Marchand has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Molecular Biology. Recurrent topics in Mario Marchand’s work include Machine Learning and Algorithms (25 papers), Machine Learning and Data Classification (14 papers) and Neural Networks and Applications (11 papers). Mario Marchand is often cited by papers focused on Machine Learning and Algorithms (25 papers), Machine Learning and Data Classification (14 papers) and Neural Networks and Applications (11 papers). Mario Marchand collaborates with scholars based in Canada, United States and United Kingdom. Mario Marchand's co-authors include François Laviolette, Mostefa Golea, Jacques Corbeil, Pascal Germain, Hugo Larochelle, John Shawe‐Taylor, Victor Lempitsky, Yaroslav Ganin, Evgeniya Ustinova and Alexandre Drouin and has published in prestigious journals such as Physical Review Letters, Journal of Applied Physics and Analytical Chemistry.

In The Last Decade

Co-authorship network of co-authors of Mario Marchand i

Fields of papers citing papers by Mario Marchand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Marchand

Since Specialization
Citations

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