Emmanuel Viennet
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications
- Co-authors
- Françoise Fogelman SouliéMaurice TchuentéAzeddine BeghdadiAhmed BouridaneMarie LuongNikolay SirakovMourad HaddadiMarie-Aude Aufaure
- Topics
- Image and Signal Denoising Methods (8 papers)Image and Video Quality Assessment (8 papers)Recommender Systems and Techniques (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Vision and Pattern RecognitionInformation Systems
- Journals
- IEEE AccessComputational Statistics & Data AnalysisArabian Journal for Science and Engineering
- Partner nations
- FranceAlgeriaUnited Kingdom
In The Last Decade
Emmanuel Viennet
38 papers receiving 451 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 160
- Computer Vision and Pattern Recognition 158
- Information Systems 155
- Statistical and Nonlinear Physics 115
- Computer Networks and Communications 55
Countries citing papers authored by Emmanuel Viennet
This map shows the geographic impact of Emmanuel Viennet'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 Emmanuel Viennet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Viennet more than expected).
Fields of papers citing papers by Emmanuel Viennet
This network shows the impact of papers produced by Emmanuel Viennet. 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 Emmanuel Viennet. The network helps show where Emmanuel Viennet may publish in the future.
Co-authorship network of co-authors of Emmanuel Viennet
This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Viennet. A scholar is included among the top collaborators of Emmanuel Viennet 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 Emmanuel Viennet. Emmanuel Viennet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 3D-CFD simulation of an axial piston displacement unit | 24 |
| 10 | 15 | |
| 11 | 12 | |
| 12 | 57 | |
| 13 | Community Detection based on Structural and Attribute Similarities | 74 |
| 14 | 18 | |
| 15 | 0 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | Face identification using support vector machines. | 8 |
| 20 | 44 |
About Emmanuel Viennet
Emmanuel Viennet is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Statistical and Nonlinear Physics, having authored 42 papers that have together received 488 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Image and Video Quality Assessment (8 papers) and Recommender Systems and Techniques (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (115 citations), Computer Vision and Pattern Recognition (158 citations) and Information Systems (155 citations). Emmanuel Viennet has collaborated with scholars based in France, Algeria and United Kingdom. Frequent co-authors include Françoise Fogelman Soulié, Maurice Tchuenté, Azeddine Beghdadi, Ahmed Bouridane, Marie Luong, Nikolay Sirakov, Mourad Haddadi, Marie-Aude Aufaure, Mario Cataldi and Jean-Marie Rocchisani. Their work appears in journals such as IEEE Access, Computational Statistics & Data Analysis and Arabian Journal for Science and Engineering.
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.