Xavier Pueyo
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- Computer Graphics and Visualization Techniques 27
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- Advanced Vision and Imaging 13
- Image Enhancement Techniques 3
- Advanced Image and Video Retrieval Techniques 3
- Computational Mechanics top 5%
- 3D Shape Modeling and Analysis 15
- Advanced Numerical Analysis Techniques 6
- Geology top 10%
- 3D Surveying and Cultural Heritage 5
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- Color Science and Applications 3
- Co-authors
- Gustavo PatowPeter SchröderFrançois X. SillionEva CerezoFrancisco José Serón ArbeloaDani TostStéphane MérillouDjamchid Ghazanfarpour
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Transactions on Visualization and Computer Graphics (2 papers)Computer Graphics Forum (7 papers)
In The Last Decade
Xavier Pueyo
40 papers receiving 514 citations
Peers
Comparison fields: 5 of 72
- Computer Graphics and Computer-Aided Design 439
- Computer Vision and Pattern Recognition 370
- Computational Mechanics 191
- Acoustics and Ultrasonics 7
- Geology 40
Countries citing papers authored by Xavier Pueyo
This map shows the geographic impact of Xavier Pueyo'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 Xavier Pueyo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Pueyo more than expected).
Fields of papers citing papers by Xavier Pueyo
This network shows the impact of papers produced by Xavier Pueyo. 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 Xavier Pueyo. The network helps show where Xavier Pueyo may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Xavier Pueyo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2019 | 3 | |
| 5 | 2018 | 9 | |
| 6 | 2009 | 7 | |
| 7 | 2008 | 7 | |
| 8 | 2004 | 42 | |
| 9 | 2004 | 6 | |
| 10 | 2003 | 69 | |
| 11 | 2003 | 1 | |
| 12 | 2002 | 2 | |
| 13 | 2002 | 6 | |
| 14 | 2001 | 16 | |
| 15 | 1998 | 9 | |
| 16 | 1997 | 7 | |
| 17 | 1996 | 22 | |
| 18 | 1996 | 2 | |
| 19 | Rendering Techniques '96 | 1996 | 4 |
| 20 | 1987 | 1 |
About Xavier Pueyo
Xavier Pueyo is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 41 papers that have together received 553 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (27 papers), 3D Shape Modeling and Analysis (15 papers), Advanced Vision and Imaging (13 papers), Advanced Numerical Analysis Techniques (6 papers), 3D Surveying and Cultural Heritage (5 papers), Color Science and Applications (3 papers), Image Enhancement Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (439 citations), Computer Vision and Pattern Recognition (370 citations) and Computational Mechanics (191 citations). Xavier Pueyo has collaborated with scholars based in Spain, France and Austria. Frequent co-authors include Gustavo Patow, Peter Schröder, François X. Sillion, Eva Cerezo, Francisco José Serón Arbeloa, Dani Tost, Stéphane Mérillou, Djamchid Ghazanfarpour, Àlvar Vinacua and Thierry Priol. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.
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.