Aurélie Névéol

About

Aurélie Névéol is a scholar working on Artificial Intelligence, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Aurélie Névéol has authored 11 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Molecular Biology and 1 paper in Sociology and Political Science. Recurrent topics in Aurélie Névéol’s work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Biomedical Text Mining and Ontologies (5 papers). Aurélie Névéol is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Biomedical Text Mining and Ontologies (5 papers). Aurélie Névéol collaborates with scholars based in France, Denmark and Italy. Aurélie Névéol's co-authors include Pierre Zweigenbaum, Xavier Tannier, Karën Fort, Stéfan Darmoni, Alexandrina Rogozan, Julien Tourille, Yoann Dupont, Olivier Ferret, Thierry Hamon and Lorraine Goeuriot and has published in prestigious journals such as Information Processing & Management, Lecture notes in computer science and Yearbook of Medical Informatics.

In The Last Decade

Co-authorship network of co-authors of Aurélie Névéol i

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Fields of papers citing papers by Aurélie Névéol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aurélie Névéol

Since Specialization

Citations

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