Ronan Boulic

5.4k citations
156 papers · 3.1k · h-index 29

Impact in

Papers in

Ronan Boulic

149 papers receiving 2.8k citations

Peers

Ronan Boulic
Comparison fields: 5 of 120
  • Human-Computer Interaction 743
  • Computer Vision and Pattern Recognition 1.6k
  • Control and Systems Engineering 1.6k
  • Computer Graphics and Computer-Aided Design 197
  • Computational Mechanics 375
Replace Taku Komura with:
Taku Komura United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Ronan Boulic

Since Specialization
Citations

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

Fields of papers citing papers by Ronan Boulic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ronan Boulic, 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 Ronan Boulic Line = papers co-authored together Ronan Boulic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990358
2 2004196
3 2002139
4 2017125
5 202299
6 200298
7 200187
8
Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
200478
9 199569
10 199969
11 199765
12 200065
13 201562
14 200057
15 201851
16
Proceedings of the Eurographics workshop on Computer animation and simulation '96
199651
17 200448
18 199246
19 200445
20 199642

About Ronan Boulic

Ronan Boulic is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience and Computational Mechanics, having authored 156 papers that have together received 3.1k indexed citations. Recurring topics across this work include Human Motion and Animation (91 papers), Human Pose and Action Recognition (59 papers), Virtual Reality Applications and Impacts (31 papers), Video Analysis and Summarization (26 papers), Advanced Vision and Imaging (18 papers), Hand Gesture Recognition Systems (16 papers), 3D Shape Modeling and Analysis (14 papers) and Robotic Mechanisms and Dynamics (13 papers). The work is most often cited by research in Human-Computer Interaction (743 citations), Computer Vision and Pattern Recognition (1.6k citations), Control and Systems Engineering (1.6k citations), Computer Graphics and Computer-Aided Design (197 citations) and Computational Mechanics (375 citations). Ronan Boulic has collaborated with scholars based in Switzerland, Spain and United Kingdom. Frequent co-authors include Daniël Thalmann, Paolo Baerlocher, Nadia Magnenat‐Thalmann, Bruno Herbelin, Henrique Galvan Debarba, P. Glardon, Pascal Fua, Phil Lopes, R. Plankers and Lorna Herda. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, The Visual Computer, Computers & Graphics and PLoS ONE.

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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