Mathieu Nancel

1.1k citations
11 papers · 261 indexed · h-index 6

Mathieu Nancel

11 papers receiving 256 citations

Peers

Mathieu Nancel
Comparison fields: 5 of 30
  • Human-Computer Interaction 222
  • Cognitive Neuroscience 165
  • Computer Vision and Pattern Recognition 89
  • Computer Graphics and Computer-Aided Design 13
  • Information Systems and Management 9
Replace Till Bovermann with:
Till Bovermann Germany
Renaud Blanch France
Fabrice Matulic Canada
Steffi Beckhaus Germany
Qiushi Zhou Australia
Bruno De Araujo Canada
Russell Kruger Canada
Thierry Duval France
JoAnn Kuchera-Morin United States
Albert Ng United States
Mathieu Nancel relative to Till Bovermann Germany Till Bovermann's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mathieu Nancel

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Nancel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 15 scholars most cited alongside Mathieu Nancel, 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 Nancel Line = papers co-authored together Mathieu Nancel links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20241
2 20215
3 201549
4 201569
5 201570
6 201513
7 201237
8 201112
9
Precision Pointing for Ultra-High-Resolution Wall Displays
20113
10 20091
11
PushMenu: Extending Marking Menus for Pressure-Enabled Input Devices
20081

About Mathieu Nancel

Mathieu Nancel is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Graphics and Computer-Aided Design, having authored 11 papers that have together received 261 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (9 papers), Tactile and Sensory Interactions (6 papers), Gaze Tracking and Assistive Technology (3 papers), Augmented Reality Applications (3 papers), Usability and User Interface Design (2 papers), Hand Gesture Recognition Systems (2 papers), Data Visualization and Analytics (2 papers) and Multimedia Communication and Technology (2 papers). The work is most often cited by research in Human-Computer Interaction (222 citations), Cognitive Neuroscience (165 citations) and Computer Vision and Pattern Recognition (89 citations). Mathieu Nancel has collaborated with scholars based in France, Canada and Chile. Frequent co-authors include Daniel Vogel, Ming-Yu Liu, Emmanuel Pietriga, Michel Beaudouin-Lafon, Olivier Chapuis, Stéphane Huot, Edward Lank, James Eagan, Julie Wagner and Wendy E. Mackay. Their work appears in journals such as ACM Transactions on Computer-Human Interaction, Communications of the ACM, Computer and HAL (Le Centre pour la Communication Scientifique Directe).

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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