Xavier Corbillon

918 citations
13 papers · 756 · h-index 9

Impact in

Papers in

Xavier Corbillon

12 papers receiving 747 citations

Peers

Xavier Corbillon
Comparison fields: 5 of 32
  • Signal Processing 209
  • Computer Vision and Pattern Recognition 449
  • Human-Computer Interaction 95
  • Computer Networks and Communications 210
  • Hardware and Architecture 36
Replace Ching-Ling Fan with:
Ching-Ling Fan Taiwan
Stefano Petrangeli Belgium
Jeroen van der Hooft Belgium
Nam Pham Ngoc Vietnam
Chao Zhou China
Cyril Concolato France
Jean Le Feuvre France
Saman Zadtootaghaj Germany
Ahsan Arefin United States
Ramón Aparicio-Pardo France
Xavier Corbillon relative to Ching-Ling Fan Taiwan Ching-Ling Fan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xavier Corbillon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 13 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.

Border = papers with Xavier Corbillon Line = papers co-authored together Xavier Corbillon links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2017239
2 2017238
3 201671
4 201761
5 201841
6 201930
7 201528
8 201823
9 202210
10 20188
11 20164
12 20203
13 20200

About Xavier Corbillon

Xavier Corbillon is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications, Human-Computer Interaction and Hardware and Architecture, having authored 13 papers that have together received 756 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (7 papers), Image and Video Quality Assessment (7 papers), Network Traffic and Congestion Control (2 papers), Virtual Reality Applications and Impacts (1 paper), Parallel Computing and Optimization Techniques (1 paper), Computational Physics and Python Applications (1 paper), Gaze Tracking and Assistive Technology (1 paper) and Caching and Content Delivery (1 paper). The work is most often cited by research in Signal Processing (209 citations), Computer Vision and Pattern Recognition (449 citations), Human-Computer Interaction (95 citations), Computer Networks and Communications (210 citations) and Hardware and Architecture (36 citations). Xavier Corbillon has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include Gwendal Simon, Jacob Chakareski, Francesca De Simone, Alisa Devlić, Géraldine Texier, Ramón Aparicio-Pardo, Nicolas Kuhn, Viswanathan Swaminathan, Loutfi Nuaymi and Pascal Frossard B. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Multimedia, IEEE International Conference on Multimedia & Expo Workshops (ICMEW) and International Conference on Communications.

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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