Virginia Estellers
-
- Medical Image Segmentation Techniques 4
- Optical measurement and interference techniques 3
- Face recognition and analysis 3
- Signal Processing top 10%
- Speech and Audio Processing 7
- Music and Audio Processing 6
- Blind Source Separation Techniques 3
- Media Technology top 10%
-
- 3D Shape Modeling and Analysis 4
-
- Industrial Vision Systems and Defect Detection 2
- Co-authors
- Jean‐Philippe ThiranXavier BressonStefano SoattoDominique ZossoRongjie LaiStanley OsherPhillip Stanley‐MarbellMartin Rinard
- Journals
- IEEE Transactions on Image Processing (4 papers)Computer Graphics Forum (1 paper)SIAM Journal on Imaging Sciences (1 paper)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Virginia Estellers
17 papers receiving 237 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 152
- Signal Processing 77
- Media Technology 30
- Computational Mechanics 62
- Computer Graphics and Computer-Aided Design 6
Countries citing papers authored by Virginia Estellers
This map shows the geographic impact of Virginia Estellers'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 Virginia Estellers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia Estellers more than expected).
Fields of papers citing papers by Virginia Estellers
This network shows the impact of papers produced by Virginia Estellers. 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 Virginia Estellers. The network helps show where Virginia Estellers may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Virginia Estellers, 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 | 2023 | 1 | |
| 3 | 2018 | 4 | |
| 4 | 2016 | 13 | |
| 5 | 2016 | 4 | |
| 6 | 2015 | 51 | |
| 7 | 2015 | 4 | |
| 8 | 2014 | 6 | |
| 9 | 2014 | 1 | |
| 10 | 2013 | 20 | |
| 11 | 2012 | 66 | |
| 12 | 2012 | 8 | |
| 13 | 2012 | 22 | |
| 14 | 2011 | 10 | |
| 15 | 2011 | 2 | |
| 16 | 2011 | 33 | |
| 17 | Class-specific classifiers in audio-visual speech recognition | 2010 | 1 |
| 18 | 2010 | 1 | |
| 19 | 2009 | 1 |
About Virginia Estellers
Virginia Estellers is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 249 indexed citations. Recurring topics across this work include Speech and Audio Processing (7 papers), Music and Audio Processing (6 papers), Medical Image Segmentation Techniques (4 papers), 3D Shape Modeling and Analysis (4 papers), Optical measurement and interference techniques (3 papers), Face recognition and analysis (3 papers), Blind Source Separation Techniques (3 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (152 citations), Signal Processing (77 citations) and Media Technology (30 citations). Virginia Estellers has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Jean‐Philippe Thiran, Xavier Bresson, Stefano Soatto, Dominique Zosso, Rongjie Lai, Stanley Osher, Phillip Stanley‐Marbell, Martin Rinard, Maria Gabrani and Daniel Cremers. Their work appears in journals such as IEEE Transactions on Image Processing, Computer Graphics Forum, SIAM Journal on Imaging Sciences, Journal of Mathematical Imaging and Vision and IEEE Transactions on Audio Speech and Language Processing.
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.