Charles Périn

1.8k citations
42 papers · 736 indexed · h-index 16

Impact in

Papers in

Charles Périn

39 papers receiving 707 citations

Peers

Charles Périn
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 529
  • Human-Computer Interaction 142
  • Signal Processing 93
  • Ecological Modeling 20
  • Artificial Intelligence 143
Replace Günter Wallner with:
Günter Wallner Austria
Erik Andersen United States
Jeremy Boy United States
Alvitta Ottley United States
Hyowon Lee Ireland
Andrea Batch United States
Frédéric Vernier France
Graham Dove United States
R. Jordan Crouser United States
Manuel Freire Spain
Charles Périn relative to Günter Wallner Austria Günter Wallner's profile →
Citations per field
00.5×
Günter Wallner · 1×
Citations per year

Countries citing papers authored by Charles Périn

Since Specialization
Citations

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

Fields of papers citing papers by Charles Périn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20242
4 20242
5 20242
6 20241
7 20240
8 202031
9 201956
10 20191
11 201822
12 201839
13 20184
14 201724
15 20164
16 20163
17
DIY Bertin Matrix
20152
18
WESt: Visualizing non-Emergency Surgery Waiting Times
20151
19 2013124
20 197015

About Charles Périn

Charles Périn is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, General Psychology, Developmental and Educational Psychology and Computer Graphics and Computer-Aided Design, having authored 42 papers that have together received 736 indexed citations. Recurring topics across this work include Data Visualization and Analytics (22 papers), Innovative Human-Technology Interaction (11 papers), Video Analysis and Summarization (5 papers), Multimedia Communication and Technology (5 papers), Advanced Text Analysis Techniques (4 papers), Interactive and Immersive Displays (4 papers), Participatory Visual Research Methods (2 papers) and Spatial Cognition and Navigation (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (529 citations), Human-Computer Interaction (142 citations), Signal Processing (93 citations), Ecological Modeling (20 citations) and Artificial Intelligence (143 citations). Charles Périn has collaborated with scholars based in Canada, United Kingdom and France. Frequent co-authors include Jean‐Daniel Fekete, Sheelagh Carpendale, Romain Vuillemot, Pierre Dragicevic, Evanthia Dimara, Jo Wood, John Stasko, Charles D. Stolper, Noreen Kamal and Michael D. Hill. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, IEEE Computer Graphics and Applications, Cartography and Geographic Information Science and Journal of Personality and Social Psychology.

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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2026