Laboratoire de Didactique André Revuz
Impact in
- Theoretical Computer Science top 5%
- History and Theory of Mathematics
- Education top 10%
- Mathematics Education and Teaching Techniques
- Science Education and Pedagogy
Papers in
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- History and Theory of Mathematics 35
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- French Language Learning Methods 43
- Top scholars
- Michèle ArtigueAlain KuzniakLaurence ViennotMorten BlomhøjKatja MaaßJean-Baptiste LagrangePablo Antonio ArchilaMartine Méheut
- Journals
- Educational Studies in Mathematics (15 papers)ZDM (13 papers)International Journal of Science Education (5 papers)International Journal of Science and Mathematics Education (3 papers)Science & Education (3 papers)
- Partner nations
- FranceSpainUnited States
In The Last Decade
Laboratoire de Didactique André Revuz
237 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 141
- Theoretical Computer Science 119
- Education 1.3k
- Statistics and Probability 288
- Developmental and Educational Psychology 412
- Linguistics and Language 105
Countries citing scholars working at Laboratoire de Didactique André Revuz
This map shows the geographic impact of research produced by authors working at Laboratoire de Didactique André Revuz. 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 Laboratoire de Didactique André Revuz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laboratoire de Didactique André Revuz more than expected).
Fields of papers published by authors at Laboratoire de Didactique André Revuz
This network shows the impact of papers affiliated with Laboratoire de Didactique André Revuz 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 Laboratoire de Didactique André Revuz at the time of their publication.
About Laboratoire de Didactique André Revuz
In recent decades, authors affiliated with Laboratoire de Didactique André Revuz have published 293 papers, which have received a total of 2.0k indexed citations . Scholars at this organization have produced 35 papers in Theoretical Computer Science, 43 papers in Linguistics and Language, 168 papers in Education, 42 papers in Statistics and Probability and 3 papers in Life-span and Life-course Studies on the topics of Mathematics Education and Teaching Techniques (100 papers), Education, sociology, and vocational training (70 papers), French Language Learning Methods (43 papers), History and Theory of Mathematics (35 papers), Cognitive and developmental aspects of mathematical skills (35 papers), Science Education and Pedagogy (33 papers), Innovative Teaching and Learning Methods (16 papers) and Geography Education and Pedagogy (13 papers). Their work is cited by papers focused on Theoretical Computer Science (119 citations), Education (1.3k citations), Statistics and Probability (288 citations), Developmental and Educational Psychology (412 citations) and Linguistics and Language (105 citations). Authors at Laboratoire de Didactique André Revuz collaborate with scholars in France, Spain and United States and have published in prestigious journals including Educational Studies in Mathematics, ZDM, International Journal of Science Education, International Journal of Science and Mathematics Education and Science & Education. Some of Laboratoire de Didactique André Revuz's most productive authors include Michèle Artigue, Alain Kuzniak, Laurence Viennot, Morten Blomhøj, Katja Maaß, Jean-Baptiste Lagrange, Pablo Antonio Archila, Martine Méheut, Sabine Houot and Bruno Mary.
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.