Ludovic Hoyet

123 total papers · 1.6k total citations
50 papers, 653 citations indexed

About

Ludovic Hoyet is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Ludovic Hoyet has authored 50 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Control and Systems Engineering, 26 papers in Computer Vision and Pattern Recognition and 19 papers in Human-Computer Interaction. Recurrent topics in Ludovic Hoyet's work include Human Motion and Animation (23 papers), Virtual Reality Applications and Impacts (19 papers) and Human Pose and Action Recognition (18 papers). Ludovic Hoyet is often cited by papers focused on Human Motion and Animation (23 papers), Virtual Reality Applications and Impacts (19 papers) and Human Pose and Action Recognition (18 papers). Ludovic Hoyet collaborates with scholars based in France, Ireland and United States. Ludovic Hoyet's co-authors include Ferran Argelaguet, Anatole Lécuyer, Rachel McDonnell, Rebecca Fribourg, Carol O’Sullivan, Anne‐Hélène Olivier, Julien Pettré, Katja Zibrek, Richard Kulpa and Franck Multon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Biomechanics and ACM Transactions on Graphics.

In The Last Decade

Ludovic Hoyet

46 papers receiving 639 citations

Author Peers

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

Author Last Decade Papers Cites
Ludovic Hoyet 367 229 225 185 175 50 653
Andrea Brogni 564 1.5× 272 1.2× 191 0.8× 194 1.0× 59 0.3× 29 772
Akiko Yamazaki 230 0.6× 414 1.8× 201 0.9× 82 0.4× 169 1.0× 40 658
Ye Pan 603 1.6× 234 1.0× 270 1.2× 175 0.9× 56 0.3× 21 749
Sungchul Jung 440 1.2× 171 0.7× 140 0.6× 182 1.0× 32 0.2× 57 760
Stephen Hughes 254 0.7× 115 0.5× 189 0.8× 186 1.0× 78 0.4× 27 591
Mika Luimula 194 0.5× 117 0.5× 177 0.8× 38 0.2× 92 0.5× 94 721
Timofey Grechkin 524 1.4× 156 0.7× 156 0.7× 289 1.6× 43 0.2× 21 731
Evan Suma Rosenberg 495 1.3× 84 0.4× 238 1.1× 157 0.8× 45 0.3× 39 607
Kazuki Takashima 532 1.4× 120 0.5× 266 1.2× 281 1.5× 29 0.2× 90 735
Jože Guna 392 1.1× 78 0.3× 195 0.9× 130 0.7× 72 0.4× 41 758

Countries citing papers authored by Ludovic Hoyet

Since Specialization
Citations

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

Fields of papers citing papers by Ludovic Hoyet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ludovic Hoyet

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