Raoul de Charette

86 total papers · 2.0k total citations
22 papers, 791 citations indexed

About

Raoul de Charette is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Raoul de Charette has authored 22 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Raoul de Charette's work include Advanced Vision and Imaging (8 papers), Image Enhancement Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Raoul de Charette is often cited by papers focused on Advanced Vision and Imaging (8 papers), Image Enhancement Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Raoul de Charette collaborates with scholars based in France, United States and United Kingdom. Raoul de Charette's co-authors include Fawzi Nashashibi, Émilie Wirbel, Maximilian Jaritz, Tuan-Hung Vu, Xavier Perrotton, Patrick Pérez, Anne Verroust-Blondet, Vicente Milanés, Pierre Merdrignac and Carlos Flores and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Raoul de Charette

22 papers receiving 775 citations

Hit Papers

MonoScene: Monocular 3D S... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Raoul de Charette 576 170 118 117 104 22 791
Yohann Cabon 608 1.1× 231 1.4× 66 0.6× 116 1.0× 68 0.7× 11 764
Zehao Yu 375 0.7× 110 0.6× 92 0.8× 73 0.6× 41 0.4× 32 654
Ziyu Zhang 753 1.3× 313 1.8× 152 1.3× 104 0.9× 82 0.8× 14 854
Yi Wei 548 1.0× 128 0.8× 47 0.4× 94 0.8× 80 0.8× 31 790
Zhuofan Xia 582 1.0× 211 1.2× 36 0.3× 136 1.2× 71 0.7× 9 910
Vijay Badrinarayanan 661 1.1× 145 0.9× 66 0.6× 188 1.6× 64 0.6× 17 881
Ming Zhang 369 0.6× 193 1.1× 54 0.5× 50 0.4× 68 0.7× 38 650
Qichuan Geng 522 0.9× 156 0.9× 253 2.1× 142 1.2× 84 0.8× 14 791
Eduardo Arnold 446 0.8× 207 1.2× 279 2.4× 100 0.9× 85 0.8× 9 761
Rareş Ambruş 468 0.8× 259 1.5× 39 0.3× 69 0.6× 74 0.7× 39 634

Countries citing papers authored by Raoul de Charette

Since Specialization
Citations

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

Fields of papers citing papers by Raoul de Charette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raoul de Charette. 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 Raoul de Charette. The network helps show where Raoul de Charette may publish in the future.

Co-authorship network of co-authors of Raoul de Charette

This figure shows the co-authorship network connecting the top 25 collaborators of Raoul de Charette. A scholar is included among the top collaborators of Raoul de Charette 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 Raoul de Charette. Raoul de Charette 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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