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
- Image and Signal Denoising Methods
- Media Technology top 2%
- Remote-Sensing Image Classification
Papers in
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- Medical Image Segmentation Techniques 53
- Digital Image Processing Techniques 32
- Image Retrieval and Classification Techniques 21
- Advanced Image and Video Retrieval Techniques 11
- Image and Signal Denoising Methods 6
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- Retinal Imaging and Analysis 8
- Medical Imaging Techniques and Applications 6
- Co-authors
- Camille KurtzPierre GançarskiBenoît NaegelChristian RonseFrançois RousseauAnne PuissantHugues TalbotJ. Baruthio
- Journals
- Journal of Mathematical Imaging and Vision (11 papers)Pattern Recognition Letters (7 papers)Pattern Recognition (7 papers)IEEE Transactions on Image Processing (4 papers)Computerized Medical Imaging and Graphics (3 papers)
- Partner nations
- FranceUnited StatesBrazil
In The Last Decade
Nicolas Passat
73 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 772
- Media Technology 221
- Radiology, Nuclear Medicine and Imaging 281
- Neurology 82
- Biophysics 45
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 119 | |
| 10 | 2018 | 11 | |
| 11 | 2018 | 10 | |
| 12 | 2016 | 2 | |
| 13 | 2015 | 28 | |
| 14 | 2012 | 43 | |
| 15 | A hierarchical semantic-based distance for nominal histogram comparison | 2011 | 7 |
| 16 | 2011 | 12 | |
| 17 | 2010 | 37 | |
| 18 | Segmentation using vector-attribute filters: methodology and application to dermatological imaging | 2007 | 15 |
| 19 | 2006 | 40 | |
| 20 | 2005 | 48 |
About Nicolas Passat
Nicolas Passat is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biophysics, Media Technology 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 (32 papers), Image Retrieval and Classification Techniques (21 papers), Advanced Image and Video Retrieval Techniques (11 papers), Retinal Imaging and Analysis (8 papers), Sparse and Compressive Sensing Techniques (6 papers), Medical Imaging Techniques and Applications (6 papers) and Image and Signal Denoising Methods (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (772 citations), Media Technology (221 citations), Radiology, Nuclear Medicine and Imaging (281 citations), Neurology (82 citations) and Biophysics (45 citations). Nicolas Passat has collaborated with scholars based in France, United States and Brazil. Frequent co-authors include Camille Kurtz, Pierre Gançarski, Benoît Naegel, Christian Ronse, François Rousseau, Anne Puissant, Hugues Talbot, J. Baruthio, Nathalie Bednarek and Carlos Tor-Díez. Their work appears in journals such as Journal of Mathematical Imaging and Vision, Pattern Recognition Letters, Pattern Recognition, 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.