Matthieu Fradet
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Human-Computer Interaction top 10%
- Media Technology
- Signal Processing
- Co-authors
- Patrick PérezAndrés AlmansaYann GousseauAlasdair NewsonPhilippe RobertMohammad RouhaniCaroline BaillardPierre-Henri Conze
- Topics
- Advanced Vision and Imaging (8 papers)Computer Graphics and Visualization Techniques (7 papers)Augmented Reality Applications (5 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Matthieu Fradet
15 papers receiving 231 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 217
- Computer Graphics and Computer-Aided Design 39
- Human-Computer Interaction 35
- Media Technology 13
- Signal Processing 12
Countries citing papers authored by Matthieu Fradet
This map shows the geographic impact of Matthieu Fradet'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 Matthieu Fradet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Fradet more than expected).
Fields of papers citing papers by Matthieu Fradet
This network shows the impact of papers produced by Matthieu Fradet. 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 Matthieu Fradet. The network helps show where Matthieu Fradet may publish in the future.
Co-authorship network of co-authors of Matthieu Fradet
This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Fradet. A scholar is included among the top collaborators of Matthieu Fradet 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 Matthieu Fradet. Matthieu Fradet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | MR TV Mozaik: A New Mixed Reality Interactive TV Experience. | 2 |
| 10 | 13 | |
| 11 | 1 | |
| 12 | 14 | |
| 13 | 148 | |
| 14 | 4 | |
| 15 | 16 | |
| 16 | 4 |
About Matthieu Fradet
Matthieu Fradet is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 16 papers that have together received 235 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Computer Graphics and Visualization Techniques (7 papers) and Augmented Reality Applications (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (39 citations), Computer Vision and Pattern Recognition (217 citations) and Human-Computer Interaction (35 citations). Matthieu Fradet has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Patrick Pérez, Andrés Almansa, Yann Gousseau, Alasdair Newson, Philippe Robert, Mohammad Rouhani, Caroline Baillard, Pierre-Henri Conze, Tao Luo and Tao Luo. Their work appears in journals such as IEEE Transactions on Image Processing, Electronics and SIAM Journal on Imaging Sciences.
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.