Nicolas Passat
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Digital Image Processing Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Image Processing Techniques
- Media Technology top 2%
- Remote-Sensing Image Classification
Papers in
-
- Medical Image Segmentation Techniques 53
- Digital Image Processing Techniques 31
- Image Retrieval and Classification Techniques 21
- Advanced Image and Video Retrieval Techniques 11
-
- Retinal Imaging and Analysis 8
- Medical Imaging Techniques and Applications 6
- Co-authors
- Camille Kurtz (12 shared papers)Pierre Gançarski (8 shared papers)Benoît Naegel (17 shared papers)Christian Ronse (12 shared papers)François Rousseau (10 shared papers)Hugues Talbot (17 shared papers)Anne Puissant (5 shared papers)J. Baruthio (6 shared papers)
- Journals
- Journal of Mathematical Imaging and Vision (11 papers)Pattern Recognition (7 papers)Pattern Recognition Letters (7 papers)IEEE Transactions on Image Processing (4 papers)Computerized Medical Imaging and Graphics (3 papers)
- Partner nations
- FranceSwitzerlandBrazil
In The Last Decade
Nicolas Passat
74 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 754
- Media Technology 218
- Radiology, Nuclear Medicine and Imaging 264
- Neurology 81
- Biophysics 44
Countries citing papers authored by Nicolas Passat
This map shows the geographic impact of Nicolas Passat'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 Nicolas Passat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Passat more than expected).
Fields of papers citing papers by Nicolas Passat
This network shows the impact of papers produced by Nicolas Passat. 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 Nicolas Passat. The network helps show where Nicolas Passat may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Passat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 124 | |
| 2 | 2010 | 106 | |
| 3 | 2013 | 76 | |
| 4 | 2012 | 70 | |
| 5 | 2011 | 65 | |
| 6 | 2020 | 52 | |
| 7 | 2005 | 49 | |
| 8 | 2012 | 43 | |
| 9 | 2017 | 42 | |
| 10 | 2006 | 40 | |
| 11 | 2010 | 38 | |
| 12 | 2006 | 34 | |
| 13 | 2015 | 28 | |
| 14 | 2014 | 23 | |
| 15 | 2019 | 22 | |
| 16 | 2011 | 21 | |
| 17 | 2013 | 20 | |
| 18 | 2006 | 20 | |
| 19 | 2006 | 17 | |
| 20 | 2008 | 16 |
About Nicolas Passat
Nicolas Passat is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine and Computational Mechanics, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (53 papers), Digital Image Processing Techniques (31 papers), Image Retrieval and Classification Techniques (21 papers), Advanced Image and Video Retrieval Techniques (11 papers), Retinal Imaging and Analysis (8 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Medical Imaging Techniques and Applications (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (754 citations), Media Technology (218 citations), Radiology, Nuclear Medicine and Imaging (264 citations), Neurology (81 citations) and Biophysics (44 citations). Nicolas Passat has collaborated with scholars based in France, Switzerland and Brazil. Frequent co-authors include Camille Kurtz, Pierre Gançarski, Benoît Naegel, Christian Ronse, François Rousseau, Hugues Talbot, Anne Puissant, J. Baruthio, Nathalie Bednarek and Carlos Tor-Díez. Their work appears in journals such as Journal of Mathematical Imaging and Vision, Pattern Recognition, Pattern Recognition Letters, IEEE Transactions on Image Processing and Computerized Medical Imaging and Graphics.
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.