Bases, Corpus, Langage

303 papers and 1.9k indexed citations

About

In recent decades, authors affiliated with Bases, Corpus, Langage have published 303 papers, which have received a total of 1.9k indexed citations. Scholars at this organization have produced 66 papers in Language and Linguistics, 55 papers in Philosophy and 54 papers in Cognitive Neuroscience on the topics of Linguistics and Discourse Analysis (54 papers), Reading and Literacy Development (26 papers) and Natural Language Processing Techniques (25 papers). Their work is cited by papers focused on Cognitive Neuroscience (311 citations), Artificial Intelligence (302 citations) and Developmental and Educational Psychology (282 citations). Authors at Bases, Corpus, Langage collaborate with scholars in France, United States and Netherlands and have published in prestigious journals including Nature, Journal of Biological Chemistry and Nature Communications. Some of Bases, Corpus, Langage's most productive authors include Damon Mayaffre, Fabien Mathy, Paul Hofman, Sylvie Mellet, Shona Whyte, Tobias Scheer, Bénédicte de Boysson-Bardies, Kevin O’regan, Frédéric Lavigne and Friederike Moltmann.

In The Last Decade

Bases, Corpus, Langage

239 papers receiving 1.8k citations

Fields of papers published by authors at Bases, Corpus, Langage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Bases, Corpus, Langage at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Bases, Corpus, Langage at the time of their publication.

Countries citing scholars working at Bases, Corpus, Langage

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Bases, Corpus, Langage. 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 papers produced at Bases, Corpus, Langage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bases, Corpus, Langage 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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