Yannick Naudet

113 total papers · 1.3k total citations
47 papers, 503 citations indexed

About

Yannick Naudet is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yannick Naudet has authored 47 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 21 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yannick Naudet's work include Semantic Web and Ontologies (13 papers), Service-Oriented Architecture and Web Services (10 papers) and Recommender Systems and Techniques (8 papers). Yannick Naudet is often cited by papers focused on Semantic Web and Ontologies (13 papers), Service-Oriented Architecture and Web Services (10 papers) and Recommender Systems and Techniques (8 papers). Yannick Naudet collaborates with scholars based in Luxembourg, France and United States. Yannick Naudet's co-authors include Wided Guédria, Hervé Panetto, Ioanna Lykourentzou, Angeliki Antoniou, Thibaud Latour, David Chen, Shang Chen, Steven P. Dow, Georg Weichhart and George Lepouras and has published in prestigious journals such as Journal of Knowledge Management, Computers in Industry and Annual Reviews in Control.

In The Last Decade

Yannick Naudet

42 papers receiving 461 citations

Hit Papers

Human Digital Twins: A sy... 2025 2026 2025 5 10 15

Author Peers

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

Author Last Decade Papers Cites
Yannick Naudet 145 109 105 101 72 47 503
Mahendrawathi ER 85 0.6× 99 0.9× 135 1.3× 51 0.5× 45 0.6× 83 580
João Sarraipa 133 0.9× 101 0.9× 146 1.4× 174 1.7× 92 1.3× 85 540
Francisco José Domínguez Mayo 247 1.7× 78 0.7× 118 1.1× 99 1.0× 23 0.3× 49 538
Lea Hannola 89 0.6× 63 0.6× 99 0.9× 139 1.4× 73 1.0× 46 481
Nikolay Shilov 190 1.3× 151 1.4× 76 0.7× 69 0.7× 40 0.6× 140 612
Stefan Thalmann 105 0.7× 157 1.4× 158 1.5× 107 1.1× 41 0.6× 55 605
Peter Bednár 130 0.9× 82 0.8× 103 1.0× 116 1.1× 57 0.8× 88 563
Virgilio Gilart-Iglesias 113 0.8× 33 0.3× 51 0.5× 92 0.9× 45 0.6× 49 502
Davy Monticolo 63 0.4× 107 1.0× 88 0.8× 169 1.7× 98 1.4× 50 542
Giovanna Petrone 313 2.2× 186 1.7× 53 0.5× 31 0.3× 45 0.6× 36 580

Countries citing papers authored by Yannick Naudet

Since Specialization
Citations

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

Fields of papers citing papers by Yannick Naudet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yannick Naudet

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