Maël Primet

2 papers and 138 indexed citations i.

About

Maël Primet is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maël Primet has authored 2 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Maël Primet’s work include Pathogenesis and Virulence of Escherichia coli (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Context-Aware Activity Recognition Systems (1 paper). Maël Primet is often cited by papers focused on Pathogenesis and Virulence of Escherichia coli (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Context-Aware Activity Recognition Systems (1 paper). Maël Primet collaborates with scholars based in France. Maël Primet's co-authors include Thomas Julou, Mariella Dimiccoli, Lionel Moisan, Ariel B. Lindner, Hugues Berry, Alexandre Caulier, Francesco Caltagirone, Thibaut Lavril, David Leroy and Théodore Bluche and has published in prestigious journals such as PLoS Computational Biology and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Maël Primet i

Fields of papers citing papers by Maël Primet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maël Primet

Since Specialization
Citations

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