Maxime Cordeil

2.7k total citations
46 papers, 1.4k citations indexed

About

Maxime Cordeil is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Maxime Cordeil has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 34 papers in Human-Computer Interaction and 12 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Maxime Cordeil's work include Data Visualization and Analytics (26 papers), Virtual Reality Applications and Impacts (26 papers) and Interactive and Immersive Displays (19 papers). Maxime Cordeil is often cited by papers focused on Data Visualization and Analytics (26 papers), Virtual Reality Applications and Impacts (26 papers) and Interactive and Immersive Displays (19 papers). Maxime Cordeil collaborates with scholars based in Australia, France and United States. Maxime Cordeil's 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 and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Maxime Cordeil

41 papers receiving 1.4k citations

Peers

Maxime Cordeil
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 1.1k
  • Human-Computer Interaction 944
  • Computer Graphics and Computer-Aided Design 221
  • Cognitive Neuroscience 156
  • Automotive Engineering 74
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Citations per field, relative to Maxime Cordeil
Maxime Cordeil · 1×
Citations per year, relative to Maxime Cordeil
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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-authorship network of co-authors of Maxime Cordeil

This figure shows the co-authorship network connecting the top 25 collaborators of Maxime Cordeil. A scholar is included among the top collaborators of Maxime Cordeil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maxime Cordeil. Maxime Cordeil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 3
4 0
5 2
6 1
7 12
8 33
9 0
10 9
11 2
12 25
13 42
14 3
15 48
16 18
17 77
18 10
19 151
20 1

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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