Frédéric Cervenansky
Impact in
-
- Ultrasound Imaging and Elastography
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Mechanics of Materials top 10%
- Ultrasonics and Acoustic Wave Propagation
Papers in
-
- Ultrasound Imaging and Elastography 3
- Radiomics and Machine Learning in Medical Imaging 3
- Advanced Neuroimaging Techniques and Applications 1
- Medical Imaging Techniques and Applications 1
- Surgery 2
- Hemodynamic Monitoring and Therapy 1
- Co-authors
- Olivier Bernard (4 shared papers)Hervé Liebgott (4 shared papers)Jørgen Arendt Jensen (2 shared papers)Alfonso Rodríguez-Molares (1 shared paper)Carole Lartizien (4 shared papers)Tristan Glatard (3 shared papers)Sorina Camarasu-Pop (2 shared papers)B. Irthum (2 shared papers)
In The Last Decade
Frédéric Cervenansky
16 papers receiving 412 citations
Peers
Comparison fields: 5 of 66
- Radiology, Nuclear Medicine and Imaging 267
- Mechanics of Materials 111
- Health Informatics 6
- Biomedical Engineering 168
- Computer Vision and Pattern Recognition 64
Countries citing papers authored by Frédéric Cervenansky
This map shows the geographic impact of Frédéric Cervenansky'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 Frédéric Cervenansky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Cervenansky more than expected).
Fields of papers citing papers by Frédéric Cervenansky
This network shows the impact of papers produced by Frédéric Cervenansky. 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 Frédéric Cervenansky. The network helps show where Frédéric Cervenansky may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Cervenansky, 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 | 2016 | 161 | |
| 2 | 2012 | 65 | |
| 3 | 2021 | 50 | |
| 4 | 2002 | 39 | |
| 5 | 2020 | 38 | |
| 6 | 2014 | 20 | |
| 7 | 2019 | 18 | |
| 8 | 2010 | 11 | |
| 9 | 2016 | 6 | |
| 10 | Slow pressure waves in the cranial enclosure | 2002 | 5 |
| 11 | 2018 | 5 | |
| 12 | 2005 | 3 | |
| 13 | 2010 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2021 | 1 |
About Frédéric Cervenansky
Frédéric Cervenansky is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology, Neurology and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 428 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Ultrasonics and Acoustic Wave Propagation (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Medical Imaging Techniques and Applications (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (267 citations), Mechanics of Materials (111 citations), Health Informatics (6 citations), Biomedical Engineering (168 citations) and Computer Vision and Pattern Recognition (64 citations). Frédéric Cervenansky has collaborated with scholars based in France, Norway and Canada. Frequent co-authors include Olivier Bernard, Hervé Liebgott, Jørgen Arendt Jensen, Alfonso Rodríguez-Molares, Carole Lartizien, Tristan Glatard, Sorina Camarasu-Pop, B. Irthum, T. Khalil and J. Chazal. Their work appears in journals such as IEEE Transactions on Medical Imaging, Acta Neurochirurgica, Magnetic Resonance in Medicine, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and NeuroImage.
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.