Didier Wolf
Impact in
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- Cardiac Imaging and Diagnostics
- Medical Imaging Techniques and Applications
- Retinal Imaging and Analysis
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
Papers in
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- Digital Imaging for Blood Diseases 5
- Medical Image Segmentation Techniques 4
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- Medical Imaging Techniques and Applications 10
- Co-authors
- Daniel Tchiotsop (14 shared papers)Valérie Louis-Dorr (10 shared papers)François Guillemin (5 shared papers)Christian Daul (14 shared papers)Walter Blondel (9 shared papers)Alain Noël (8 shared papers)Michel Noubom (4 shared papers)Gilles Karcher (4 shared papers)
In The Last Decade
Didier Wolf
51 papers receiving 834 citations
Peers
Comparison fields: 5 of 95
- Radiology, Nuclear Medicine and Imaging 294
- Computer Vision and Pattern Recognition 310
- Signal Processing 70
- Ophthalmology 42
- Cognitive Neuroscience 99
Countries citing papers authored by Didier Wolf
This map shows the geographic impact of Didier Wolf'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 Didier Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didier Wolf more than expected).
Fields of papers citing papers by Didier Wolf
This network shows the impact of papers produced by Didier Wolf. 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 Didier Wolf. The network helps show where Didier Wolf may publish in the future.
Co-authors
The 25 scholars most cited alongside Didier Wolf, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 177 | |
| 2 | 2008 | 76 | |
| 3 | 2021 | 72 | |
| 4 | 2010 | 47 | |
| 5 | 2020 | 38 | |
| 6 | 2013 | 32 | |
| 7 | 2011 | 32 | |
| 8 | 2010 | 31 | |
| 9 | 2021 | 26 | |
| 10 | 1994 | 23 | |
| 11 | 2012 | 23 | |
| 12 | 2020 | 21 | |
| 13 | 2007 | 18 | |
| 14 | 2006 | 16 | |
| 15 | 2006 | 16 | |
| 16 | 2006 | 13 | |
| 17 | 2015 | 13 | |
| 18 | 2021 | 13 | |
| 19 | 2003 | 12 | |
| 20 | 2019 | 12 |
About Didier Wolf
Didier Wolf is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Signal Processing and Artificial Intelligence, having authored 56 papers that have together received 863 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (10 papers), EEG and Brain-Computer Interfaces (8 papers), Blind Source Separation Techniques (7 papers), AI in cancer detection (7 papers), Advanced Radiotherapy Techniques (6 papers), Robotics and Sensor-Based Localization (6 papers), Digital Imaging for Blood Diseases (5 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (294 citations), Computer Vision and Pattern Recognition (310 citations), Signal Processing (70 citations), Ophthalmology (42 citations) and Cognitive Neuroscience (99 citations). Didier Wolf has collaborated with scholars based in France, Cameroon and Mexico. Frequent co-authors include Daniel Tchiotsop, Valérie Louis-Dorr, François Guillemin, Christian Daul, Walter Blondel, Alain Noël, Michel Noubom, Gilles Karcher, Sylvain Poussier and Antoine Verger. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Medical Physics, Biomedical Signal Processing and Control, Computerized Medical Imaging and Graphics 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.