Marie‐Jean Meurs

28 papers and 203 indexed citations i.

About

Marie‐Jean Meurs is a scholar working on Artificial Intelligence, Molecular Biology and Social Psychology. According to data from OpenAlex, Marie‐Jean Meurs has authored 28 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 8 papers in Molecular Biology and 4 papers in Social Psychology. Recurrent topics in Marie‐Jean Meurs’s work include Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Biomedical Text Mining and Ontologies (7 papers). Marie‐Jean Meurs is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Biomedical Text Mining and Ontologies (7 papers). Marie‐Jean Meurs collaborates with scholars based in Canada, France and United States. Marie‐Jean Meurs's co-authors include Adrian Tsang, Greg Butler, Leila Kosseim, Justin Powlowski, Frank Rudzicz, René Witte, Ingo Morgenstern, Renato De Mori, Michel Gagnon and Sébastien Mosser and has published in prestigious journals such as PLoS ONE, Lecture notes in computer science and BMC Medical Informatics and Decision Making.

In The Last Decade

Co-authorship network of co-authors of Marie‐Jean Meurs i

Fields of papers citing papers by Marie‐Jean Meurs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Jean Meurs. 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 Marie‐Jean Meurs. The network helps show where Marie‐Jean Meurs may publish in the future.

Countries citing papers authored by Marie‐Jean Meurs

Since Specialization
Citations

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