Mario Beauchemin

11 papers and 476 indexed citations i.

About

Mario Beauchemin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Mario Beauchemin has authored 11 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Sociology and Political Science. Recurrent topics in Mario Beauchemin’s work include Geochemistry and Geologic Mapping (4 papers), Military, Security, and Education Studies (2 papers) and Sociology of Public Action and Professional Practices (2 papers). Mario Beauchemin is often cited by papers focused on Geochemistry and Geologic Mapping (4 papers), Military, Security, and Education Studies (2 papers) and Sociology of Public Action and Professional Practices (2 papers). Mario Beauchemin collaborates with scholars based in Canada and United States. Mario Beauchemin's co-authors include Suzanne Beauchemin, Dean Hesterberg, D. E. Sayers, J.-H Chou, R. R. Simard, R. Cabanac, E. F. Borra, K.P.B. Thomson and Geoffrey Edwards and has published in prestigious journals such as The Astrophysical Journal, Soil Science Society of America Journal and International Journal of Remote Sensing.

In The Last Decade

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

Fields of papers citing papers by Mario Beauchemin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Beauchemin

Since Specialization
Citations

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