Antoine Veillard
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Biophysics top 1%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Co-authors
- Daniel RacoceanuLudovic RouxHumayun IrshadVijay ChandrasekharJie LinHanlin GohNicolas LoménieZhaohui Huang
- Topics
- Image Retrieval and Classification Techniques (10 papers)Advanced Image and Video Retrieval Techniques (7 papers)AI in cancer detection (6 papers)
In The Last Decade
Antoine Veillard
19 papers receiving 658 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 480
- Computer Vision and Pattern Recognition 441
- Biophysics 202
- Radiology, Nuclear Medicine and Imaging 198
- Molecular Biology 61
Countries citing papers authored by Antoine Veillard
This map shows the geographic impact of Antoine Veillard'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 Antoine Veillard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antoine Veillard more than expected).
Fields of papers citing papers by Antoine Veillard
This network shows the impact of papers produced by Antoine Veillard. 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 Antoine Veillard. The network helps show where Antoine Veillard may publish in the future.
Co-authorship network of co-authors of Antoine Veillard
This figure shows the co-authorship network connecting the top 25 collaborators of Antoine Veillard. A scholar is included among the top collaborators of Antoine Veillard 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 Antoine Veillard. Antoine Veillard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 16 | |
| 3 | 13 | |
| 4 | 12 | |
| 5 | 55 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 9 | |
| 10 | Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potentialbreakdown → | 458 |
| 11 | 11 | |
| 12 | 14 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 46 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 6 |
About Antoine Veillard
Antoine Veillard is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence, having authored 19 papers that have together received 681 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (10 papers), Advanced Image and Video Retrieval Techniques (7 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Biophysics (202 citations), Computer Vision and Pattern Recognition (441 citations) and Artificial Intelligence (480 citations). Antoine Veillard has collaborated with scholars based in Singapore, France and China. Frequent co-authors include Daniel Racoceanu, Ludovic Roux, Humayun Irshad, Vijay Chandrasekhar, Jie Lin, Hanlin Goh, Nicolas Loménie, Zhaohui Huang, Ling‐Yu Duan and Stéphane Bressan. Their work appears in journals such as Signal Processing, Computerized Medical Imaging and Graphics and IEEE Reviews in Biomedical 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.