Maxime Cordeil

2.8k citations
48 papers · 1.5k · h-index 20

Impact in

Papers in

Maxime Cordeil

43 papers receiving 1.5k citations

Peers

Maxime Cordeil
Comparison fields: 5 of 86
  • Human-Computer Interaction 988
  • Computer Graphics and Computer-Aided Design 224
  • Computer Vision and Pattern Recognition 1.2k
  • Cognitive Neuroscience 166
  • Ecological Modeling 35
Replace M. Sheelagh T. Carpendale with:
M. Sheelagh T. Carpendale Canada
Carla Maria Dal Sasso Freitas Brazil
Robert Ball United States
Ken Pier United States
Denis Kalkofen Austria
Andrew Forsberg United States
Rubaiat Habib Kazi United States
Michael Glueck Canada
Michael Gervautz Austria
Maxine Brown United States
Maxime Cordeil relative to M. Sheelagh T. Carpendale Canada M. Sheelagh T. Carpendale's profile →
Citations per field
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M. Sheelagh T. Carpendale · 1×
Citations per year

Countries citing papers authored by Maxime Cordeil

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Cordeil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017157
2 2017154
3 2016138
4 2018135
5 202096
6 201986
7 201880
8 202074
9 201873
10 201564
11 201951
12 202044
13 202043
14 202236
15 201735
16 201834
17 202130
18 202230
19 202123
20 201921

About Maxime Cordeil

Maxime Cordeil is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Cognitive Neuroscience and Control and Systems Engineering, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (26 papers), Data Visualization and Analytics (26 papers), Interactive and Immersive Displays (19 papers), Computer Graphics and Visualization Techniques (12 papers), Tactile and Sensory Interactions (7 papers), Augmented Reality Applications (6 papers), Video Analysis and Summarization (3 papers) and Human Motion and Animation (2 papers). The work is most often cited by research in Human-Computer Interaction (988 citations), Computer Graphics and Computer-Aided Design (224 citations), Computer Vision and Pattern Recognition (1.2k citations), Cognitive Neuroscience (166 citations) and Ecological Modeling (35 citations). Maxime Cordeil has collaborated with scholars based in Australia, France and United States. Frequent co-authors include Tim Dwyer, Kim Marriott, Bruce H. Thomas, Bernhard Jenny, Benjamin Bach, Andrew Cunningham, Hanspeter Pfister, Ronell Sicat, Johanna Beyer and Tobias Czauderna. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Proceedings of the ACM on Human-Computer Interaction, Computer Graphics Forum, Cartography and Geographic Information Science and Visual Informatics.

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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