Alexandre Lacoste

23 papers and 499 indexed citations i.

About

Alexandre Lacoste is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Alexandre Lacoste has authored 23 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Infectious Diseases. Recurrent topics in Alexandre Lacoste’s work include Machine Learning and Data Classification (6 papers), SARS-CoV-2 detection and testing (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Alexandre Lacoste is often cited by papers focused on Machine Learning and Data Classification (6 papers), SARS-CoV-2 detection and testing (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Alexandre Lacoste collaborates with scholars based in Canada, France and United States. Alexandre Lacoste's co-authors include David Vázquez, Pau Rodríguez, Xavier Giró-i-Nieto, Daniel Hewlett, Illia Polosukhin, Mario Marchand, Douglas Eck, Eunsol Choi, Jonathan Berant and Jakob Uszkoreit and has published in prestigious journals such as Frontiers in Microbiology, Journal of Immunological Methods and Viruses.

In The Last Decade

Co-authorship network of co-authors of Alexandre Lacoste i

Fields of papers citing papers by Alexandre Lacoste

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alexandre Lacoste

Since Specialization
Citations

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