Théo Dupuis

16 total papers · 514 total citations
4 papers, 352 citations indexed

About

Théo Dupuis is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Théo Dupuis has authored 4 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Hardware and Architecture. Recurrent topics in Théo Dupuis's work include Domain Adaptation and Few-Shot Learning (2 papers), Advanced Neural Network Applications (2 papers) and Immune Cell Function and Interaction (1 paper). Théo Dupuis is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Advanced Neural Network Applications (2 papers) and Immune Cell Function and Interaction (1 paper). Théo Dupuis collaborates with scholars based in Canada, Switzerland and Pakistan. Théo Dupuis's co-authors include Gérard Eberl, Marc Lecuit, Grégory Jouvion, Olivier Disson, Camille Blériot, Yvon Savaria, Jean‐Pierre David, François Leduc-Primeau, Matheus Cavalcante and Frank K. Gürkaynak and has published in prestigious journals such as Immunity, IEEE Access and Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna).

In The Last Decade

Théo Dupuis

4 papers receiving 351 citations

Author Peers

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

Author Last Decade Papers Cites
Théo Dupuis 243 91 74 48 39 4 352
Adélaïde Gélineau 131 0.5× 90 1.0× 160 2.2× 75 1.6× 63 1.6× 5 326
Cheng-Rui Li 214 0.9× 71 0.8× 44 0.6× 21 0.4× 35 0.9× 8 343
Bráulio Henrique Freire Lima 194 0.8× 102 1.1× 135 1.8× 76 1.6× 25 0.6× 7 386
Kerstin Ackermann 142 0.6× 114 1.3× 73 1.0× 62 1.3× 10 0.3× 6 384
Guillemette Masse‐Ranson 211 0.9× 59 0.6× 90 1.2× 74 1.5× 24 0.6× 8 371
Amy Sawtell 197 0.8× 63 0.7× 83 1.1× 60 1.3× 57 1.5× 6 327
Nicola Patuto 98 0.4× 146 1.6× 137 1.9× 65 1.4× 44 1.1× 4 341
Fumitaka Kamachi 230 0.9× 163 1.8× 40 0.5× 11 0.2× 39 1.0× 8 355
Ruma A. Pengal 187 0.8× 174 1.9× 45 0.6× 8 0.2× 26 0.7× 7 390
Julia Peusquens 198 0.8× 49 0.5× 131 1.8× 135 2.8× 46 1.2× 6 384

Countries citing papers authored by Théo Dupuis

Since Specialization
Citations

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

Fields of papers citing papers by Théo Dupuis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Théo Dupuis

This figure shows the co-authorship network connecting the top 25 collaborators of Théo Dupuis. A scholar is included among the top collaborators of Théo Dupuis 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 Théo Dupuis. Théo Dupuis 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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