Yannick Prié

27 papers receiving 265 citations

Peers

Yannick Prié
Comparison fields: 5 of 72
  • Human-Computer Interaction 82
  • Computer Vision and Pattern Recognition 138
  • Computer Graphics and Computer-Aided Design 18
  • Developmental and Educational Psychology 49
  • Computer Science Applications 19
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Citations per year

Countries citing papers authored by Yannick Prié

Since Specialization
Citations

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

Fields of papers citing papers by Yannick Prié

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yannick Prié, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yannick Prié Line = papers co-authored together Yannick Prié links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019102
2 201230
3 201520
4 201019
5 202117
6 201116
7 201215
8 200713
9 20226
10 20135
11
Semantic Context Representation of Resources Using Annotation Graph.
20025
12 20085
13
A Trace-Based Systems Framework : Models, Languages and Semantics
20094
14 20244
15
A graph based audio-visual document annotation and browsing system
20004
16 20243
17 20213
18 19993
19
Annotating with Uses: A Promising Way to the Semantic Web.
20012
20 20192

About Yannick Prié

Yannick Prié is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction, Computer Networks and Communications and Education, having authored 32 papers that have together received 289 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (6 papers), Semantic Web and Ontologies (5 papers), Video Analysis and Summarization (5 papers), Multimedia Communication and Technology (4 papers), Online and Blended Learning (3 papers), Online Learning and Analytics (3 papers), Data Management and Algorithms (2 papers) and Transcranial Magnetic Stimulation Studies (2 papers). The work is most often cited by research in Human-Computer Interaction (82 citations), Computer Vision and Pattern Recognition (138 citations), Computer Graphics and Computer-Aided Design (18 citations), Developmental and Educational Psychology (49 citations) and Computer Science Applications (19 citations). Yannick Prié has collaborated with scholars based in France, Algeria and South Korea. Frequent co-authors include Olivier Aubert, Mireille Bétrancourt, Nicolas Guichon, Karim Sehaba, Alain Mille, Gaëlle Molinari, Élise Lavoué, Pierre-Antoine Champin, Gyu Hyun Kwon and Jieun Han. Their work appears in journals such as International Journal of Technology Enhanced Learning, Journal of Clinical Medicine, IEEE Transactions on Visualization and Computer Graphics, Frontiers in Psychology and JMIR Serious Games.

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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