Arnaud Prouzeau

66 total papers · 1.2k total citations
30 papers, 427 citations indexed

About

Arnaud Prouzeau is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Building and Construction. According to data from OpenAlex, Arnaud Prouzeau has authored 30 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Human-Computer Interaction, 21 papers in Computer Vision and Pattern Recognition and 6 papers in Building and Construction. Recurrent topics in Arnaud Prouzeau's work include Interactive and Immersive Displays (13 papers), Virtual Reality Applications and Impacts (13 papers) and Data Visualization and Analytics (12 papers). Arnaud Prouzeau is often cited by papers focused on Interactive and Immersive Displays (13 papers), Virtual Reality Applications and Impacts (13 papers) and Data Visualization and Analytics (12 papers). Arnaud Prouzeau collaborates with scholars based in Australia, France and United States. Arnaud Prouzeau's co-authors include Tim Dwyer, Barrett Ens, Jiazhou Liu, Maxime Cordeil, Bernhard Jenny, Benjamin Lee, Xiao Hu, Sarah Goodwin, Martin Hachet and Olivier Chapuis and has published in prestigious journals such as IEEE Access, Frontiers in Psychology and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Arnaud Prouzeau

27 papers receiving 416 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Arnaud Prouzeau 304 286 47 34 32 30 427
Roland Blach 156 0.5× 233 0.8× 45 1.0× 65 1.9× 35 1.1× 24 392
Sanni Siltanen 280 0.9× 212 0.7× 44 0.9× 20 0.6× 44 1.4× 35 423
Manuel Olbrich 369 1.2× 236 0.8× 20 0.4× 22 0.6× 50 1.6× 18 478
Martin Göbel 166 0.5× 171 0.6× 64 1.4× 67 2.0× 16 0.5× 52 451
Jurriaan D. Mulder 249 0.8× 101 0.4× 77 1.6× 45 1.3× 10 0.3× 33 431
Patrick Bourdot 175 0.6× 220 0.8× 31 0.7× 106 3.1× 14 0.4× 59 463
Rosemary Michelle Simpson 183 0.6× 186 0.7× 56 1.2× 22 0.6× 8 0.3× 20 396
Charles Woodward 295 1.0× 180 0.6× 56 1.2× 15 0.4× 40 1.3× 31 438
Sarah Goodwin 309 1.0× 149 0.5× 26 0.6× 24 0.7× 18 0.6× 47 448
Gregory Baratoff 384 1.3× 212 0.7× 10 0.2× 33 1.0× 14 0.4× 20 482

Countries citing papers authored by Arnaud Prouzeau

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Prouzeau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Prouzeau

This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Prouzeau. A scholar is included among the top collaborators of Arnaud Prouzeau 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 Arnaud Prouzeau. Arnaud Prouzeau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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