Mathieu Chollet

989 citations
21 papers · 177 indexed · h-index 6

Mathieu Chollet

16 papers receiving 167 citations

Peers

Mathieu Chollet
Comparison fields: 5 of 38
  • Human-Computer Interaction 34
  • Artificial Intelligence 106
  • Experimental and Cognitive Psychology 33
  • Social Psychology 42
  • Computer Vision and Pattern Recognition 32
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Ben Kybartas Netherlands
Divesh Lala Japan
Marco Vala Portugal
Éva Székely Sweden
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Countries citing papers authored by Mathieu Chollet

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Chollet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mathieu Chollet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mathieu Chollet Line = papers co-authored together Mathieu Chollet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20251
5 20250
6 20242
7 20241
8 20240
9 20245
10 20231
11 202112
12 20207
13 20202
14 201796
15 20175
16 201719
17 20152
18
Mining a multimodal corpus for non-verbal behavior sequences conveying attitudes
20145
19 201417
20
Expressing Social Attitudes in Virtual Agents for Social Coaching (Extended Abstract)
20141

About Mathieu Chollet

Mathieu Chollet is a scholar working on Human-Computer Interaction, Health Informatics, Social Psychology, Experimental and Cognitive Psychology and Literature and Literary Theory, having authored 21 papers that have together received 177 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (6 papers), Speech and dialogue systems (5 papers), Communication in Education and Healthcare (4 papers), Media Influence and Health (3 papers), Human-Automation Interaction and Safety (3 papers), Language, Metaphor, and Cognition (3 papers), Social Robot Interaction and HRI (3 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers). The work is most often cited by research in Human-Computer Interaction (34 citations), Artificial Intelligence (106 citations), Experimental and Cognitive Psychology (33 citations), Social Psychology (42 citations) and Computer Vision and Pattern Recognition (32 citations). Mathieu Chollet has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Stefan Scherer, Louis–Philippe Morency, Eugene Laksana, Sayan Ghosh, Stacy Marsella, Catherine Pélachaud, Magalie Ochs, Ari Shapiro, Caroline G. L. Cao and J. Rigaud. Their work appears in journals such as Language Resources and Evaluation, Proceedings of the ACM on Human-Computer Interaction, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Affective Computing and IEEE Computer Graphics and Applications.

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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