Laure Vieu

22 papers and 386 indexed citations i.

About

Laure Vieu is a scholar working on Artificial Intelligence, Philosophy and Language and Linguistics. According to data from OpenAlex, Laure Vieu has authored 22 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Philosophy and 8 papers in Language and Linguistics. Recurrent topics in Laure Vieu’s work include Discourse Analysis and Argumentation Studies (9 papers), Syntax, Semantics, Linguistic Variation (6 papers) and Natural Language Processing Techniques (6 papers). Laure Vieu is often cited by papers focused on Discourse Analysis and Argumentation Studies (9 papers), Syntax, Semantics, Linguistic Variation (6 papers) and Natural Language Processing Techniques (6 papers). Laure Vieu collaborates with scholars based in France, Italy and United States. Laure Vieu's co-authors include Nicholas Asher, Michel Aurnague, Maya Hickmann, Claudio Masolo, Roberta Ferrario, Stefano Borgo, Achille C. Varzi, Myriam Bras, Nicola Guarino and Laurent Prévot and has published in prestigious journals such as Lingua, Language Resources and Evaluation and Data & Knowledge Engineering.

In The Last Decade

Co-authorship network of co-authors of Laure Vieu i

Fields of papers citing papers by Laure Vieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laure Vieu

Since Specialization
Citations

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