Noël Richard
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Artificial Intelligence
- Atomic and Molecular Physics, and Optics
- Analytical Chemistry
- Co-authors
- Mihai IvanoviciJon Yngve HardebergHilda DeborahChristine Fernández-MaloigneAlessandro RizziThierry UrrutyDavid HelbertMohamed–Chaker Larabi
- Topics
- Image Retrieval and Classification Techniques (24 papers)Remote-Sensing Image Classification (17 papers)Color Science and Applications (10 papers)
In The Last Decade
Noël Richard
51 papers receiving 364 citations
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 195
- Media Technology 119
- Artificial Intelligence 78
- Atomic and Molecular Physics, and Optics 43
- Analytical Chemistry 34
Countries citing papers authored by Noël Richard
This map shows the geographic impact of Noël Richard'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 Noël Richard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noël Richard more than expected).
Fields of papers citing papers by Noël Richard
This network shows the impact of papers produced by Noël Richard. 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 Noël Richard. The network helps show where Noël Richard may publish in the future.
Co-authorship network of co-authors of Noël Richard
This figure shows the co-authorship network connecting the top 25 collaborators of Noël Richard. A scholar is included among the top collaborators of Noël Richard 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 Noël Richard. Noël Richard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 24 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | Fractal feature-based color image segmentation for a healthcare application in dermatology | 2 |
| 14 | 88 | |
| 15 | 12 | |
| 16 | 4 | |
| 17 | Image Numérique Couleur : de l'acquisition au traitement | 1 |
| 18 | 0 | |
| 19 | 4 | |
| 20 | A l'aube du symbolisme : hydropathes, fumistes et décadents | 1 |
About Noël Richard
Noël Richard is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 55 papers that have together received 383 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (24 papers), Remote-Sensing Image Classification (17 papers) and Color Science and Applications (10 papers). The work is most often cited by research in Media Technology (119 citations), Computer Vision and Pattern Recognition (195 citations) and Analytical Chemistry (34 citations). Noël Richard has collaborated with scholars based in France, Romania and Norway. Frequent co-authors include Mihai Ivanovici, Jon Yngve Hardeberg, Hilda Deborah, Christine Fernández-Maloigne, Alessandro Rizzi, Thierry Urruty, David Helbert, Mohamed–Chaker Larabi, Laura O’Farrell and Pallab Pradhan. Their work appears in journals such as Journal of Controlled Release, IEEE Transactions on Image Processing and Pattern Recognition.
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.