Frédéric Vernier

1.9k citations
42 papers · 1.1k indexed · h-index 16

Frédéric Vernier

42 papers receiving 1.0k citations

Peers

Frédéric Vernier
Comparison fields: 5 of 79
  • Human-Computer Interaction 825
  • Computer Vision and Pattern Recognition 480
  • Cognitive Neuroscience 324
  • Information Systems and Management 96
  • Computer Graphics and Computer-Aided Design 37
Replace Miguel A. Nacenta with:
Miguel A. Nacenta Canada
Haijun Xia United States
Roman Rädle Germany
Stéphane Conversy France
Steven Houben United Kingdom
Dominikus Baur Germany
Dave Snowdon France
Jean-Bernard Martens Netherlands
Edward Lank Canada
Clemens Nylandsted Klokmose Denmark
Frédéric Vernier relative to Miguel A. Nacenta Canada Miguel A. Nacenta's profile →
Citations per field
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Citations per year

Countries citing papers authored by Frédéric Vernier

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Vernier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Frédéric Vernier, 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 Frédéric Vernier Line = papers co-authored together Frédéric Vernier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20222
2 20214
3 20219
4 20198
5 201818
6 201623
7 201310
8 20114
9 20101
10 20094
11
Visualization of the search results of the semantic web search engines
20081
12
Interfaces, Interaction Techniques and User Experience on Direct-Touch Horizontal Surfaces.
20061
13 200676
14 200611
15 200677
16
CoR²Ds: Context-Rooted Rotatable Draggables for Tabletop Interaction
20056
17 200446
18 2004119
19 2002100
20 19982

About Frédéric Vernier

Frédéric Vernier is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (19 papers), Usability and User Interface Design (15 papers), Data Visualization and Analytics (10 papers), Augmented Reality Applications (6 papers), Multimedia Communication and Technology (6 papers), Tactile and Sensory Interactions (5 papers), Speech and dialogue systems (4 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Human-Computer Interaction (825 citations), Computer Vision and Pattern Recognition (480 citations) and Cognitive Neuroscience (324 citations). Frédéric Vernier has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Chia Shen, Clifton Forlines, Neal Lesh, Meredith Ringel, Kathy Ryall, Meredith Ringel Morris, Mark Hancock, Jeana Frost, Stéphanie Buisine and Daniel Wigdor. Their work appears in journals such as IEEE Computer Graphics and Applications, Computers in Human Behavior, IEEE Transactions on Visualization and Computer Graphics, Personal and Ubiquitous Computing and Computer Graphics Forum.

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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