Mathieu Le Goc
Impact in
- Human-Computer Interaction top 5%
- Interactive and Immersive Displays
- Virtual Reality Applications and Impacts
- Innovative Human-Technology Interaction
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- Tactile and Sensory Interactions
Papers in
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- Interactive and Immersive Displays 4
- Virtual Reality Applications and Impacts 2
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- Data Visualization and Analytics 1
- Co-authors
- Sean Follmer (3 shared papers)Pierre Dragicevic (3 shared papers)Lawrence H. Kim (2 shared papers)Yiwei Zhao (1 shared paper)Yu Wang (1 shared paper)Jean‐Daniel Fekete (3 shared papers)Charles Périn (2 shared papers)David Joseph Tan (1 shared paper)
- Journals
- interactions (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)CHI Conference on Human Factors in Computing Systems Extended Abstracts (1 paper)Human Factors in Computing Systems (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Mathieu Le Goc
6 papers receiving 130 citations
Peers
Comparison fields: 5 of 34
- Human-Computer Interaction 102
- Cognitive Neuroscience 57
- Computer Vision and Pattern Recognition 59
- Computer Science Applications 7
- Mechanical Engineering 40
Countries citing papers authored by Mathieu Le Goc
This map shows the geographic impact of Mathieu Le Goc'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 Le Goc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Le Goc more than expected).
Fields of papers citing papers by Mathieu Le Goc
This network shows the impact of papers produced by Mathieu Le Goc. 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 Le Goc. The network helps show where Mathieu Le Goc may publish in the future.
Co-authors
The 22 scholars most cited alongside Mathieu Le Goc, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 45 | |
| 2 | 2018 | 42 | |
| 3 | 2022 | 26 | |
| 4 | 2012 | 17 | |
| 5 | DIY Bertin Matrix | 2015 | 2 |
| 6 | 2017 | 1 |
About Mathieu Le Goc
Mathieu Le Goc is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Automotive Engineering and Ecology, Evolution, Behavior and Systematics, having authored 6 papers that have together received 133 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (4 papers), Tactile and Sensory Interactions (2 papers), Virtual Reality Applications and Impacts (2 papers), Manufacturing Process and Optimization (1 paper), Modular Robots and Swarm Intelligence (1 paper), Additive Manufacturing and 3D Printing Technologies (1 paper), Data Visualization and Analytics (1 paper) and Cephalopods and Marine Biology (1 paper). The work is most often cited by research in Human-Computer Interaction (102 citations), Cognitive Neuroscience (57 citations), Computer Vision and Pattern Recognition (59 citations), Computer Science Applications (7 citations) and Mechanical Engineering (40 citations). Mathieu Le Goc has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Sean Follmer, Pierre Dragicevic, Lawrence H. Kim, Yiwei Zhao, Yu Wang, Jean‐Daniel Fekete, Charles Périn, David Joseph Tan, Ivan Poupyrev and Matthew Glisson. Their work appears in journals such as interactions, IEEE Transactions on Visualization and Computer Graphics, CHI Conference on Human Factors in Computing Systems Extended Abstracts and Human Factors in Computing Systems.
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.