Michel Herbin
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Media Technology top 5%
- Radiology, Nuclear Medicine and Imaging
- Occupational Therapy top 5%
- Co-authors
- N. BonnetAlain VenotLouis DubertretCédric PietteJ.C. RoucayrolJean-François LebruchecEzzeddine ZagroubaÉric Walter
- Topics
- Advanced Image Fusion Techniques (5 papers)Medical Image Segmentation Techniques (5 papers)Image and Video Quality Assessment (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Medical ImagingPattern Recognition
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Michel Herbin
32 papers receiving 348 citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 161
- Artificial Intelligence 67
- Media Technology 61
- Radiology, Nuclear Medicine and Imaging 42
- Occupational Therapy 39
Countries citing papers authored by Michel Herbin
This map shows the geographic impact of Michel Herbin'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 Michel Herbin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Herbin more than expected).
Fields of papers citing papers by Michel Herbin
This network shows the impact of papers produced by Michel Herbin. 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 Michel Herbin. The network helps show where Michel Herbin may publish in the future.
Co-authorship network of co-authors of Michel Herbin
This figure shows the co-authorship network connecting the top 25 collaborators of Michel Herbin. A scholar is included among the top collaborators of Michel Herbin 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 Michel Herbin. Michel Herbin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Explainable Structuring and Discovery of Relevant Cases for Exploration of High-Dimensional Data. | 1 |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 15 | |
| 14 | MULTIVARIATE IMAGE ANALYSIS AND SEGMENTATION IN MICROANALYSIS | 8 |
| 15 | 6 | |
| 16 | 68 | |
| 17 | Automated analysis of the McKenzie test through color slide digitization and processing. | 4 |
| 18 | 38 | |
| 19 | 30 | |
| 20 | 9 |
About Michel Herbin
Michel Herbin is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 34 papers that have together received 374 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (5 papers), Medical Image Segmentation Techniques (5 papers) and Image and Video Quality Assessment (5 papers). The work is most often cited by research in Occupational Therapy (39 citations), Computer Vision and Pattern Recognition (161 citations) and Media Technology (61 citations). Michel Herbin has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include N. Bonnet, Alain Venot, Louis Dubertret, Cédric Piette, J.C. Roucayrol, Jean-François Lebruchec, Ezzeddine Zagrouba, Éric Walter, Frédéric Blanchard and Noël Bonnet. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging 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.