Mathieu Bernard

427 citations
8 papers · 113 · h-index 5

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Speech and dialogue systems
    • Topic Modeling

Papers in

Mathieu Bernard

8 papers receiving 107 citations

Peers

Mathieu Bernard
Comparison fields: 5 of 28
  • Signal Processing 37
  • Artificial Intelligence 94
  • Developmental and Educational Psychology 15
  • Experimental and Cognitive Psychology 15
  • Cultural Studies 5
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Citations per field
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Citations per year

Countries citing papers authored by Mathieu Bernard

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Bernard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Mathieu Bernard, 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 Bernard Line = papers co-authored together Mathieu Bernard links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 202140
2 202030
3 201920
4 202013
5 20214
6 20084
7
The Interspeech Zero Resource Speech Challenge 2021: Spoken language modelling.
20211
8
Real-time coaching using robot-based semi-teleoperated cameras
20071

About Mathieu Bernard

Mathieu Bernard is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Developmental and Educational Psychology and Biomedical Engineering, having authored 8 papers that have together received 113 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (4 papers), Music and Audio Processing (3 papers), Speech and Audio Processing (2 papers), Natural Language Processing Techniques (2 papers), Soft Robotics and Applications (2 papers), Language Development and Disorders (2 papers), Phonetics and Phonology Research (1 paper) and Trauma and Emergency Care Studies (1 paper). The work is most often cited by research in Signal Processing (37 citations), Artificial Intelligence (94 citations), Developmental and Educational Psychology (15 citations), Experimental and Cognitive Psychology (15 citations) and Cultural Studies (5 citations). Mathieu Bernard has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Emmanuel Dupoux, Ewan Dunbar, Julien Karadayi, Sakriani Sakti, Laurent Besacier, Mark Johnson, Robert Daland, Xuan Cao, Alejandrina Cristià and Amanda Saksida. Their work appears in journals such as Behavior Research Methods, International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University) and The Journal of Open Source Software.

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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