Guillaume Lavoué

3.8k total citations
52 papers, 1.7k citations indexed

About

Guillaume Lavoué is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Guillaume Lavoué has authored 52 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 33 papers in Computer Graphics and Computer-Aided Design and 24 papers in Computational Mechanics. Recurrent topics in Guillaume Lavoué's work include Computer Graphics and Visualization Techniques (33 papers), 3D Shape Modeling and Analysis (23 papers) and Image and Video Quality Assessment (13 papers). Guillaume Lavoué is often cited by papers focused on Computer Graphics and Visualization Techniques (33 papers), 3D Shape Modeling and Analysis (23 papers) and Image and Video Quality Assessment (13 papers). Guillaume Lavoué collaborates with scholars based in France, Japan and United States. Guillaume Lavoué's co-authors include Florent Dupont, Atilla Baskurt, Florence Denis, Massimiliano Corsini, Céline Hudelot, Mohamed Daoudi, Kai Wang, Libor Váša, Kai Wang and Halim Benhabiles and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on Graphics.

In The Last Decade

Guillaume Lavoué

48 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guillaume Lavoué France 22 1.3k 770 743 141 107 52 1.7k
Hans‐Peter Seidel Germany 24 1.2k 0.9× 1.1k 1.5× 957 1.3× 102 0.7× 98 0.9× 163 1.9k
Ersin Yumer United States 17 1.4k 1.1× 631 0.8× 712 1.0× 230 1.6× 45 0.4× 30 1.9k
Nathan Carr United States 24 950 0.7× 1.0k 1.3× 820 1.1× 116 0.8× 30 0.3× 54 1.8k
Ran Gal Israel 12 941 0.7× 450 0.6× 646 0.9× 154 1.1× 18 0.2× 15 1.3k
Patrick Min United States 12 1.3k 1.0× 695 0.9× 1.1k 1.5× 194 1.4× 182 1.7× 14 1.9k
Hanqiu Sun Hong Kong 21 1.2k 0.9× 424 0.6× 343 0.5× 28 0.2× 66 0.6× 148 1.7k
M. Gopi United States 17 675 0.5× 636 0.8× 489 0.7× 110 0.8× 44 0.4× 77 1.1k
Hung‐Kuo Chu Taiwan 15 825 0.6× 312 0.4× 394 0.5× 133 0.9× 32 0.3× 78 1.3k
Adrien Bousseau France 26 1.5k 1.2× 1.2k 1.6× 844 1.1× 252 1.8× 12 0.1× 67 2.1k
Forrester Cole United States 21 1.2k 1.0× 707 0.9× 712 1.0× 141 1.0× 31 0.3× 39 1.7k

Countries citing papers authored by Guillaume Lavoué

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Lavoué, Guillaume, et al.. (2024). Effect of material properties on emotion: a virtual reality study. Frontiers in Human Neuroscience. 17. 1301891–1301891. 3 indexed citations
2.
Vidal, Vincent, et al.. (2023). Progressive Compression of Triangle Meshes. Image Processing On Line. 13. 1–21.
3.
Lavoué, Élise, et al.. (2023). Influence of Scenarios and Player Traits on Flow in Virtual Reality. IEEE Transactions on Visualization and Computer Graphics. 30(9). 6208–6221. 1 indexed citations
4.
Frindel, Carole, et al.. (2023). Modeling and hexahedral meshing of cerebral arterial networks from centerlines. Medical Image Analysis. 89. 102912–102912. 4 indexed citations
5.
Nehmé, Yana, et al.. (2023). Crafting the MPEG metrics for objective and perceptual quality assessment of volumetric videos. PubMed. 8(1). 4–4. 5 indexed citations
6.
Gay, Aurélia, et al.. (2023). Does this virtual food make me hungry? effects of visual quality and food type in virtual reality. SHILAP Revista de lepidopterología. 4. 6 indexed citations
7.
Lavoué, Guillaume, et al.. (2021). Perceptual quality of BRDF approximations: dataset and metrics. Computer Graphics Forum. 40(2). 327–338. 13 indexed citations
8.
Nehmé, Yana, et al.. (2020). Visual Quality of 3D Meshes With Diffuse Colors in Virtual Reality: Subjective and Objective Evaluation. IEEE Transactions on Visualization and Computer Graphics. 27(3). 2202–2219. 55 indexed citations
9.
Vanhoey, Kenneth, et al.. (2017). Visual Quality Assessment of 3D Models. ACM Transactions on Applied Perception. 15(1). 1–18. 13 indexed citations
10.
Vidal, Vincent, Guillaume Lavoué, & Florent Dupont. (2014). Low budget and high fidelity relaxed 567-remeshing. Computers & Graphics. 47. 16–23. 9 indexed citations
11.
Corsini, Massimiliano, et al.. (2013). Perceptual Metrics for Static and Dynamic Triangle Meshes. Computer Graphics Forum. 32(1). 101–125. 71 indexed citations
12.
Lee, Kyoung Ho, Guillaume Lavoué, & Florent Dupont. (2011). Rate-distortion optimization for progressive compression of 3D mesh with color attributes. The Visual Computer. 28(2). 137–153. 33 indexed citations
13.
Çapın, Tolga, et al.. (2011). Assessing Visual Quality of 3-D Polygonal Models. IEEE Signal Processing Magazine. 28(6). 80–90. 24 indexed citations
14.
Benhabiles, Halim, Guillaume Lavoué, Jean‐Philippe Vandeborre, & Mohamed Daoudi. (2011). Learning Boundary Edges for 3D‐Mesh Segmentation. Computer Graphics Forum. 30(8). 2170–2182. 47 indexed citations
15.
Revaud, Jérôme, et al.. (2009). Improving Zernike Moments Comparison for Optimal Similarity and Rotation Angle Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(4). 627–636. 61 indexed citations
17.
Wang, Kai, et al.. (2008). Hierarchical Watermarking of Semiregular Meshes Based on Wavelet Transform. IEEE Transactions on Information Forensics and Security. 3(4). 620–634. 38 indexed citations
18.
Wang, Kai, et al.. (2008). A Comprehensive Survey on Three-Dimensional Mesh Watermarking. IEEE Transactions on Multimedia. 10(8). 1513–1527. 124 indexed citations
19.
Lavoué, Guillaume, Florent Dupont, & Atilla Baskurt. (2007). A framework for quad/triangle subdivision surface fitting: Application to mechanical objects. Computer Graphics Forum. 26(1). 1–14. 13 indexed citations
20.
Lavoué, Guillaume. (1968). A Cleaning Technique for Open Tubular Columns. Journal of Chromatographic Science. 6(4). 233–234. 1 indexed citations

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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