Benoît Naegel
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Digital Image Processing Techniques
- Image and Object Detection Techniques
- Media Technology top 5%
Papers in
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- Medical Image Segmentation Techniques 17
- Image Retrieval and Classification Techniques 13
- Digital Image Processing Techniques 8
- Advanced Image and Video Retrieval Techniques 4
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- Medical Imaging Techniques and Applications 4
- Retinal Imaging and Analysis 3
- Co-authors
- Nicolas Passat (17 shared papers)Christian Ronse (3 shared papers)Laurent Wendling (3 shared papers)Hugues Talbot (5 shared papers)Philippe Bachellier (3 shared papers)Camille Kurtz (2 shared papers)Pietro Addeo (3 shared papers)Vincent Noblet (3 shared papers)
- Journals
- Pattern Recognition (3 papers)Pattern Recognition Letters (3 papers)Medical Image Analysis (2 papers)IEEE Transactions on Image Processing (2 papers)Journal of Mathematical Imaging and Vision (2 papers)
- Partner nations
- FranceSwitzerlandGermany
In The Last Decade
Benoît Naegel
33 papers receiving 379 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 241
- Media Technology 59
- Structural Biology 9
- Biophysics 23
- Radiology, Nuclear Medicine and Imaging 71
Countries citing papers authored by Benoît Naegel
This map shows the geographic impact of Benoît Naegel'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 Benoît Naegel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Naegel more than expected).
Fields of papers citing papers by Benoît Naegel
This network shows the impact of papers produced by Benoît Naegel. 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 Benoît Naegel. The network helps show where Benoît Naegel may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît Naegel, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 46 | |
| 2 | 2012 | 43 | |
| 3 | 2006 | 34 | |
| 4 | 2020 | 23 | |
| 5 | 2019 | 22 | |
| 6 | 2011 | 21 | |
| 7 | 2013 | 20 | |
| 8 | 2006 | 20 | |
| 9 | 2010 | 18 | |
| 10 | 2016 | 17 | |
| 11 | 2014 | 16 | |
| 12 | Segmentation using vector-attribute filters: methodology and application to dermatological imaging | 2007 | 15 |
| 13 | 2009 | 15 | |
| 14 | 2017 | 11 | |
| 15 | 2008 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2019 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2017 | 4 |
About Benoît Naegel
Benoît Naegel is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Structural Biology and Surgery, having authored 35 papers that have together received 389 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (17 papers), Image Retrieval and Classification Techniques (13 papers), Digital Image Processing Techniques (8 papers), AI in cancer detection (5 papers), Advanced Electron Microscopy Techniques and Applications (4 papers), Medical Imaging Techniques and Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Retinal Imaging and Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (241 citations), Media Technology (59 citations), Structural Biology (9 citations), Biophysics (23 citations) and Radiology, Nuclear Medicine and Imaging (71 citations). Benoît Naegel has collaborated with scholars based in France, Switzerland and Germany. Frequent co-authors include Nicolas Passat, Christian Ronse, Laurent Wendling, Hugues Talbot, Philippe Bachellier, Camille Kurtz, Pietro Addeo, Vincent Noblet, Olena Tankyevych and J. Baruthio. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters, Medical Image Analysis, IEEE Transactions on Image Processing and Journal of Mathematical Imaging and Vision.
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.