Clovis Tauber
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Amyotrophic Lateral Sclerosis Research
- Biological Psychiatry top 10%
Papers in
-
- Medical Image Segmentation Techniques 12
- Image and Signal Denoising Methods 10
- Advanced Image Processing Techniques 4
-
- Medical Imaging Techniques and Applications 12
- Radiomics and Machine Learning in Medical Imaging 9
- Co-authors
- Hadj Batatia (12 shared papers)Denis Guilloteau (10 shared papers)Nicolas Arlicot (5 shared papers)Michael Kassiou (5 shared papers)Sylvie Chalon (13 shared papers)Y. Venel (3 shared papers)Jean‐Louis Baulieu (3 shared papers)Maria-Joao Santiago Ribeiro (2 shared papers)
In The Last Decade
Clovis Tauber
65 papers receiving 964 citations
Peers
Comparison fields: 5 of 116
- Neurology 183
- Biological Psychiatry 35
- Neurology 171
- Radiology, Nuclear Medicine and Imaging 225
- Biophysics 55
Countries citing papers authored by Clovis Tauber
This map shows the geographic impact of Clovis Tauber'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 Clovis Tauber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clovis Tauber more than expected).
Fields of papers citing papers by Clovis Tauber
This network shows the impact of papers produced by Clovis Tauber. 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 Clovis Tauber. The network helps show where Clovis Tauber may publish in the future.
Co-authors
The 25 scholars most cited alongside Clovis Tauber, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 186 | |
| 2 | 2011 | 110 | |
| 3 | 2015 | 40 | |
| 4 | 2015 | 40 | |
| 5 | 2022 | 39 | |
| 6 | 2014 | 38 | |
| 7 | 2019 | 36 | |
| 8 | 2022 | 29 | |
| 9 | 2017 | 23 | |
| 10 | 2005 | 22 | |
| 11 | 2021 | 20 | |
| 12 | 2014 | 19 | |
| 13 | 2009 | 19 | |
| 14 | 2005 | 19 | |
| 15 | 2019 | 18 | |
| 16 | 2005 | 18 | |
| 17 | 2013 | 17 | |
| 18 | 2020 | 15 | |
| 19 | 2016 | 15 | |
| 20 | 2011 | 15 |
About Clovis Tauber
Clovis Tauber is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Neurology and Biophysics, having authored 66 papers that have together received 980 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Medical Imaging Techniques and Applications (12 papers), Image and Signal Denoising Methods (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Spectroscopy and Chemometric Analyses (6 papers), S100 Proteins and Annexins (6 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Neurology (183 citations), Biological Psychiatry (35 citations), Neurology (171 citations), Radiology, Nuclear Medicine and Imaging (225 citations) and Biophysics (55 citations). Clovis Tauber has collaborated with scholars based in France, Australia and Ireland. Frequent co-authors include Hadj Batatia, Denis Guilloteau, Nicolas Arlicot, Michael Kassiou, Sylvie Chalon, Y. Venel, Jean‐Louis Baulieu, Maria-Joao Santiago Ribeiro, Philippe Corcia and Johnny Vercouillie. Their work appears in journals such as Nuclear Medicine and Biology, Medical Image Analysis, Translational Psychiatry, Physics in Medicine and Biology and Frontiers in Neurology.
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.