Xavier Corbillon
Impact in
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- Video Coding and Compression Technologies
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- Image and Video Quality Assessment
- Advanced Data Compression Techniques
Papers in
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- Image and Video Quality Assessment 5
- Advanced Vision and Imaging 1
- Advanced Data Compression Techniques 1
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- Video Coding and Compression Technologies 5
- Co-authors
- Gwendal Simon (5 shared papers)Loutfi Nuaymi (1 shared paper)Mehdi Amini (1 shared paper)Viswanathan Swaminathan (2 shared papers)Alisa Devlić (2 shared papers)Jacob Chakareski (2 shared papers)Qinghai Yang (1 shared paper)Jiayi Liu (1 shared paper)
- Journals
- IEEE Transactions on Multimedia (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)ACM Transactions on Multimedia Computing Communications and Applications (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
- Partner nations
- FranceUnited StatesSweden
In The Last Decade
Xavier Corbillon
5 papers receiving 58 citations
Peers
Comparison fields: 5 of 21
- Signal Processing 28
- Computer Vision and Pattern Recognition 39
- Hardware and Architecture 11
- Computer Networks and Communications 17
- Information Systems and Management 4
Countries citing papers authored by Xavier Corbillon
This map shows the geographic impact of Xavier Corbillon'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 Corbillon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Corbillon more than expected).
Fields of papers citing papers by Xavier Corbillon
This network shows the impact of papers produced by Xavier Corbillon. 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 Corbillon. The network helps show where Xavier Corbillon may publish in the future.
Co-authors
The 8 scholars most cited alongside Xavier Corbillon, 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 | 2019 | 25 | |
| 2 | 2015 | 19 | |
| 3 | 2018 | 8 | |
| 4 | 2022 | 6 | |
| 5 | 2020 | 3 | |
| 6 | 2020 | 0 |
About Xavier Corbillon
Xavier Corbillon is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 6 papers that have together received 61 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (5 papers), Video Coding and Compression Technologies (5 papers), Parallel Computing and Optimization Techniques (1 paper), Software Engineering Research (1 paper), Computational Physics and Python Applications (1 paper), Caching and Content Delivery (1 paper), Advanced Vision and Imaging (1 paper) and Advanced Data Compression Techniques (1 paper). The work is most often cited by research in Signal Processing (28 citations), Computer Vision and Pattern Recognition (39 citations), Hardware and Architecture (11 citations), Computer Networks and Communications (17 citations) and Information Systems and Management (4 citations). Xavier Corbillon has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include Gwendal Simon, Loutfi Nuaymi, Mehdi Amini, Viswanathan Swaminathan, Alisa Devlić, Jacob Chakareski, Qinghai Yang and Jiayi Liu. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, ACM Transactions on Multimedia Computing Communications and Applications and HAL (Le Centre pour la Communication Scientifique Directe).
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.