D. Lemoine
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
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- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
Papers in
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- Medical Image Segmentation Techniques 6
- Advanced Data Compression Techniques 2
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- Medical Imaging Techniques and Applications 3
- Co-authors
- Christian Barillot (5 shared papers)Bernard Gibaud (4 shared papers)Denis Schwartz (1 shared paper)Jean‐Marie Scarabin (3 shared papers)Marco Eichelberg (5 shared papers)Nándor Balogh (4 shared papers)Catherine Tréguier (1 shared paper)J.-F. Heautot (1 shared paper)
- Journals
- Brain Topography (1 paper)European Radiology (1 paper)European Journal of Radiology (1 paper)Pattern Recognition (1 paper)Studies in health technology and informatics (1 paper)
In The Last Decade
D. Lemoine
10 papers receiving 100 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 37
- Radiology, Nuclear Medicine and Imaging 33
- Computer Graphics and Computer-Aided Design 4
- Cognitive Neuroscience 17
- Media Technology 8
Countries citing papers authored by D. Lemoine
This map shows the geographic impact of D. Lemoine'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 D. Lemoine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Lemoine more than expected).
Fields of papers citing papers by D. Lemoine
This network shows the impact of papers produced by D. Lemoine. 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 D. Lemoine. The network helps show where D. Lemoine may publish in the future.
Co-authors
The 15 scholars most cited alongside D. Lemoine, 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 | 1993 | 39 | |
| 2 | 1996 | 32 | |
| 3 | 2000 | 12 | |
| 4 | 1994 | 10 | |
| 5 | 2002 | 4 | |
| 6 | 1982 | 3 | |
| 7 | 2003 | 2 | |
| 8 | 1990 | 2 | |
| 9 | 1991 | 1 | |
| 10 | DICOM extensions for narrow-band networks. | 2000 | 1 |
| 11 | 2000 | 0 |
About D. Lemoine
D. Lemoine is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Networks and Communications and Radiation, having authored 11 papers that have together received 106 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Digital Radiography and Breast Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers), Advanced Data Compression Techniques (2 papers), Distributed and Parallel Computing Systems (2 papers), Advanced Radiotherapy Techniques (1 paper), Anatomy and Medical Technology (1 paper) and Telemedicine and Telehealth Implementation (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (37 citations), Radiology, Nuclear Medicine and Imaging (33 citations), Computer Graphics and Computer-Aided Design (4 citations), Cognitive Neuroscience (17 citations) and Media Technology (8 citations). D. Lemoine has collaborated with scholars based in France, Germany and Hungary. Frequent co-authors include Christian Barillot, Bernard Gibaud, Denis Schwartz, Jean‐Marie Scarabin, Marco Eichelberg, Nándor Balogh, Catherine Tréguier, J.-F. Heautot, Joaquim Piqueras and Y. Gandon. Their work appears in journals such as Brain Topography, European Radiology, European Journal of Radiology, Pattern Recognition and Studies in health technology and informatics.
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.