Guillaume Lavoué
- Computer Vision and Pattern Recognition top 0.5%
- Computer Graphics and Computer-Aided Design top 0.2%
- Computational Mechanics top 1%
- Geology top 5%
- Signal Processing top 5%
- Co-authors
- Florent DupontAtilla BaskurtFlorence DenisMassimiliano CorsiniCéline HudelotMohamed DaoudiKai WangLibor Váša
- Topics
- Computer Graphics and Visualization Techniques (33 papers)3D Shape Modeling and Analysis (23 papers)Image and Video Quality Assessment (13 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceACM Transactions on Graphics
- Partner nations
- FranceJapanUnited States
In The Last Decade
Guillaume Lavoué
48 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 1.3k
- Computer Graphics and Computer-Aided Design 770
- Computational Mechanics 743
- Geology 141
- Signal Processing 107
Countries citing papers authored by Guillaume Lavoué
This map shows the geographic impact of Guillaume Lavoué'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 Guillaume Lavoué with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillaume Lavoué more than expected).
Fields of papers citing papers by Guillaume Lavoué
This network shows the impact of papers produced by Guillaume Lavoué. 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 Guillaume Lavoué. The network helps show where Guillaume Lavoué may publish in the future.
Co-authorship network of co-authors of Guillaume Lavoué
This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Lavoué. A scholar is included among the top collaborators of Guillaume Lavoué 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 Guillaume Lavoué. Guillaume Lavoué is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 13 | |
| 9 | 13 | |
| 10 | 9 | |
| 11 | 71 | |
| 12 | 24 | |
| 13 | 33 | |
| 14 | 47 | |
| 15 | Collaborative Scientific Visualization: The COLLAVIZ Framework | 10 |
| 16 | 61 | |
| 17 | 38 | |
| 18 | 124 | |
| 19 | 13 | |
| 20 | 1 |
About Guillaume Lavoué
Guillaume Lavoué is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (33 papers), 3D Shape Modeling and Analysis (23 papers) and Image and Video Quality Assessment (13 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (770 citations), Computer Vision and Pattern Recognition (1.3k citations) and Computational Mechanics (743 citations). Guillaume Lavoué has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Florent Dupont, Atilla Baskurt, Florence Denis, Massimiliano Corsini, Céline Hudelot, Mohamed Daoudi, Kai Wang, Libor Váša, Kai Wang and Halim Benhabiles. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on Graphics.
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.