Véronique Moriceau

15 papers and 140 indexed citations i.

About

Véronique Moriceau is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Véronique Moriceau has authored 15 papers receiving a total of 140 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Véronique Moriceau’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (4 papers) and Sentiment Analysis and Opinion Mining (4 papers). Véronique Moriceau is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (4 papers) and Sentiment Analysis and Opinion Mining (4 papers). Véronique Moriceau collaborates with scholars based in France, Italy and Australia. Véronique Moriceau's co-authors include Farah Benamara, Xavier Tannier, Viviana Patti, Endang Wahyu Pamungkas, Cyril Grouin, Delphine Bernhard, Josiane Mothe, Pierre Zweigenbaum, Patrice Bellot and Éric SanJuan and has published in prestigious journals such as Information Processing & Management, Journal of Biomedical Informatics and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Véronique Moriceau i

Fields of papers citing papers by Véronique Moriceau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Véronique Moriceau

Since Specialization
Citations

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