Jacques Feldmar
Impact in
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- Medical Image Segmentation Techniques
- Advanced Vision and Imaging
- Image and Object Detection Techniques
- Image Processing and 3D Reconstruction
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in
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- Medical Image Segmentation Techniques 10
- Image and Object Detection Techniques 4
- Advanced Vision and Imaging 3
- Image Processing and 3D Reconstruction 3
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- Robotics and Sensor-Based Localization 8
- Co-authors
- Nicholas Ayache (12 shared papers)Jerome M. Declerck (6 shared papers)Grégoire Malandain (4 shared papers)Michael L. Goris (2 shared papers)Frédéric Devernay (2 shared papers)Yves L. Trousset (1 shared paper)Sara Fernández-Vidal (1 shared paper)Lionel Tarassenko (3 shared papers)
- Journals
- Computer Vision and Image Understanding (2 papers)International Journal of Computer Vision (1 paper)Stereotactic and Functional Neurosurgery (1 paper)IEEE Transactions on Medical Imaging (1 paper)Medical Image Analysis (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Jacques Feldmar
21 papers receiving 815 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 627
- Geology 72
- Computer Graphics and Computer-Aided Design 46
- Aerospace Engineering 284
- Radiology, Nuclear Medicine and Imaging 190
Countries citing papers authored by Jacques Feldmar
This map shows the geographic impact of Jacques Feldmar'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 Jacques Feldmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Feldmar more than expected).
Fields of papers citing papers by Jacques Feldmar
This network shows the impact of papers produced by Jacques Feldmar. 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 Jacques Feldmar. The network helps show where Jacques Feldmar may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacques Feldmar, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 280 | |
| 2 | 1997 | 127 | |
| 3 | 1997 | 75 | |
| 4 | 1998 | 51 | |
| 5 | 1997 | 49 | |
| 6 | 1994 | 43 | |
| 7 | 1997 | 39 | |
| 8 | 1996 | 35 | |
| 9 | 1995 | 30 | |
| 10 | 2002 | 29 | |
| 11 | 1996 | 29 | |
| 12 | 1997 | 22 | |
| 13 | 2009 | 20 | |
| 14 | 2009 | 11 | |
| 15 | 2013 | 8 | |
| 16 | Telemetry-based vital sign monitoring for ambulatory hospital patients | 2009 | 8 |
| 17 | 2013 | 6 | |
| 18 | 2008 | 6 | |
| 19 | Transcribing southern Min speech corpora with a web-based language learning system. | 2008 | 4 |
| 20 | 1998 | 3 |
About Jacques Feldmar
Jacques Feldmar is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 22 papers that have together received 876 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Robotics and Sensor-Based Localization (8 papers), Image and Object Detection Techniques (4 papers), Non-Invasive Vital Sign Monitoring (3 papers), Advanced Vision and Imaging (3 papers), Image Processing and 3D Reconstruction (3 papers), Medical Imaging Techniques and Applications (3 papers) and ECG Monitoring and Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (627 citations), Geology (72 citations), Computer Graphics and Computer-Aided Design (46 citations), Aerospace Engineering (284 citations) and Radiology, Nuclear Medicine and Imaging (190 citations). Jacques Feldmar has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Nicholas Ayache, Jerome M. Declerck, Grégoire Malandain, Michael L. Goris, Frédéric Devernay, Yves L. Trousset, Sara Fernández-Vidal, Lionel Tarassenko, Christina Orphanidou and David Andrew Clifton. Their work appears in journals such as Computer Vision and Image Understanding, International Journal of Computer Vision, Stereotactic and Functional Neurosurgery, IEEE Transactions on Medical Imaging and Medical Image Analysis.
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.