Laboratoire Cognitions Humaine et Artificielle
Impact in
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- Neuroscience and Music Perception
- Tactile and Sensory Interactions
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- Reading and Literacy Development
- Child and Animal Learning Development
Papers in
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- Child and Animal Learning Development 33
- Reading and Literacy Development 31
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- Tactile and Sensory Interactions 24
- Neuroscience and Music Perception 23
- Top scholars
- Thierry BaccinoDenis AlamargotJoëlle ProvasiFarid El MassiouiPatrick BrézillonJean BaratginFrançois JouenOlivier Le Meur
- Journals
- Frontiers in Psychology (23 papers)Reading and Writing (6 papers)Learning and Individual Differences (5 papers)International Journal of Social Robotics (5 papers)Behavior Research Methods (5 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Laboratoire Cognitions Humaine et Artificielle
513 papers receiving 7.5k citations
Peers
Comparison fields: 5 of 206
- Cognitive Neuroscience 2.0k
- Developmental and Educational Psychology 1.3k
- Human-Computer Interaction 584
- Social Psychology 1.5k
- Experimental and Cognitive Psychology 946
Countries citing scholars working at Laboratoire Cognitions Humaine et Artificielle
This map shows the geographic impact of research produced by authors working at Laboratoire Cognitions Humaine et Artificielle. 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 Cognitions Humaine et Artificielle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laboratoire Cognitions Humaine et Artificielle more than expected).
Fields of papers published by authors at Laboratoire Cognitions Humaine et Artificielle
This network shows the impact of papers affiliated with Laboratoire Cognitions Humaine et Artificielle 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 Cognitions Humaine et Artificielle at the time of their publication.
About Laboratoire Cognitions Humaine et Artificielle
In recent decades, authors affiliated with Laboratoire Cognitions Humaine et Artificielle have published 630 papers, which have received a total of 8.1k indexed citations . Scholars at this organization have produced 98 papers in Developmental and Educational Psychology, 131 papers in Cognitive Neuroscience, 13 papers in General Decision Sciences, 41 papers in Human-Computer Interaction and 119 papers in Social Psychology on the topics of Child and Animal Learning Development (33 papers), Reading and Literacy Development (31 papers), Writing and Handwriting Education (28 papers), Action Observation and Synchronization (25 papers), Tactile and Sensory Interactions (24 papers), Neuroscience and Music Perception (23 papers), French Language Learning Methods (22 papers) and Language, Metaphor, and Cognition (20 papers). Their work is cited by papers focused on Cognitive Neuroscience (2.0k citations), Developmental and Educational Psychology (1.3k citations), Human-Computer Interaction (584 citations), Social Psychology (1.5k citations) and Experimental and Cognitive Psychology (946 citations). Authors at Laboratoire Cognitions Humaine et Artificielle collaborate with scholars in France, United States and Canada and have published in prestigious journals including Frontiers in Psychology, Reading and Writing, Learning and Individual Differences, International Journal of Social Robotics and Behavior Research Methods. Some of Laboratoire Cognitions Humaine et Artificielle's most productive authors include Thierry Baccino, Denis Alamargot, Joëlle Provasi, Farid El Massioui, Patrick Brézillon, Jean Baratgin, François Jouen, Olivier Le Meur, Charles Tijus and Simone Benedetto.
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.