Antoine Veillard

1.0k citations
19 papers · 681 indexed · 1 hit paper · h-index 10
Topics
Image Retrieval and Classification Techniques (10 papers)Advanced Image and Video Retrieval Techniques (7 papers)AI in cancer detection (6 papers)
Partner nations
SingaporeFranceChina

In The Last Decade

Antoine Veillard

19 papers receiving 658 citations

Hit Papers

Methods for Nuclei Detection, Segmentation, and Classific...20142026201820222014100200300400

Peers

Antoine Veillard
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
Replace Po-Whei Huang with:
Po-Whei Huang Taiwan
James Monaco United States
Neslihan Bayramoğlu Finland
Çiğdem Gündüz-Demir Türkiye
Wenqi Lu United Kingdom
Marina E. Plissiti Greece
Neeraj Kumar India
Yushan Zheng China
Anton Böhm Germany
Haoyuan Chen China
Antoine Veillard relative to Po-Whei Huang Taiwan Po-Whei Huang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Antoine Veillard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

19 of 19 papers shown
#WorkIndexed 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.

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