Caroline Appert

1.8k citations
31 papers · 524 · h-index 11

Impact in

    • Interactive and Immersive Displays
    • Usability and User Interface Design
    • Hand Gesture Recognition Systems
    • Gaze Tracking and Assistive Technology
    • Tactile and Sensory Interactions

Papers in

Caroline Appert

31 papers receiving 513 citations

Peers

Caroline Appert
Comparison fields: 5 of 53
  • Human-Computer Interaction 357
  • Cognitive Neuroscience 226
  • Computer Vision and Pattern Recognition 232
  • Geography, Planning and Development 36
  • Computer Graphics and Computer-Aided Design 20
Replace Sean Gustafson with:
Sean Gustafson Germany
Mikkel R. Jakobsen Denmark
Beth Yost United States
Scott S. Snibbe United States
Ken Fishkin United States
Ross Bencina Spain
David R. McGee United States
Toshiyuki Masui Japan
David Carr United States
Stéphane Huot France
Caroline Appert relative to Sean Gustafson Germany Sean Gustafson's profile →
Citations per field
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Sean Gustafson · 1×
Citations per year

Countries citing papers authored by Caroline Appert

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Appert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200997
2 201267
3 200657
4 200856
5 201038
6 200732
7 200924
8 200723
9 200823
10 200620
11 201014
12 20198
13 20176
14 20186
15 20245
16 20095
17 20075
18 20155
19 20164
20 20064

About Caroline Appert

Caroline Appert is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence and Signal Processing, having authored 31 papers that have together received 524 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (21 papers), Tactile and Sensory Interactions (15 papers), Data Visualization and Analytics (9 papers), Augmented Reality Applications (6 papers), Usability and User Interface Design (4 papers), Gaze Tracking and Assistive Technology (3 papers), Data Management and Algorithms (3 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Human-Computer Interaction (357 citations), Cognitive Neuroscience (226 citations), Computer Vision and Pattern Recognition (232 citations), Geography, Planning and Development (36 citations) and Computer Graphics and Computer-Aided Design (20 citations). Caroline Appert has collaborated with scholars based in France, Chile and United States. Frequent co-authors include Emmanuel Pietriga, Shumin Zhai, Michel Beaudouin-Lafon, Jean‐Daniel Fekete, Olivier Chapuis, Olivier Bau, Per Ola Kristensson, Xiang Cao, Yves Guiard and Yangzhou Du. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Computer-Human Interaction, Software Practice and Experience, Semantic Web and Proceedings of the ACM on Human-Computer Interaction.

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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