Vincent Noblet
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Medical Imaging Techniques and Applications
- Neurology top 5%
Papers in
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- Advanced Neuroimaging Techniques and Applications 24
- Advanced MRI Techniques and Applications 10
- Co-authors
- P. MeyerAlex LallementFrédéric BlancFabrice HeitzNathalie PhilippiBenjamin CretinDelphine JarnetChristian Heinrich
- Journals
- Alzheimer s Research & Therapy (6 papers)Medical Image Analysis (4 papers)Biological Psychiatry (3 papers)Journal of Gastrointestinal Surgery (3 papers)Alzheimer s & Dementia (3 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Vincent Noblet
86 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 119
- Radiology, Nuclear Medicine and Imaging 598
- Neurology 199
- Health Informatics 32
- Cognitive Neuroscience 333
- Psychiatry and Mental health 262
Countries citing papers authored by Vincent Noblet
This map shows the geographic impact of Vincent Noblet'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 Vincent Noblet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Noblet more than expected).
Fields of papers citing papers by Vincent Noblet
This network shows the impact of papers produced by Vincent Noblet. 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 Vincent Noblet. The network helps show where Vincent Noblet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vincent Noblet, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 30 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 26 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 24 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 13 | |
| 13 | 2019 | 9 | |
| 14 | 2019 | 13 | |
| 15 | 2017 | 51 | |
| 16 | 2015 | 12 | |
| 17 | 2013 | 1 | |
| 18 | 2012 | 29 | |
| 19 | 2012 | 7 | |
| 20 | 2011 | 20 |
About Vincent Noblet
Vincent Noblet is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Cognitive Neuroscience and Sensory Systems, having authored 94 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (24 papers), Dementia and Cognitive Impairment Research (17 papers), Medical Image Segmentation Techniques (12 papers), Multiple Sclerosis Research Studies (11 papers), Memory and Neural Mechanisms (11 papers), Functional Brain Connectivity Studies (11 papers), Advanced MRI Techniques and Applications (10 papers) and Identity, Memory, and Therapy (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (598 citations), Neurology (199 citations), Health Informatics (32 citations), Cognitive Neuroscience (333 citations) and Psychiatry and Mental health (262 citations). Vincent Noblet has collaborated with scholars based in France, United States and Canada. Frequent co-authors include P. Meyer, Alex Lallement, Frédéric Blanc, Fabrice Heitz, Nathalie Philippi, Benjamin Cretin, Delphine Jarnet, Christian Heinrich, Jean-Baptiste Clavier and Jean‐Paul Armspach. Their work appears in journals such as Alzheimer s Research & Therapy, Medical Image Analysis, Biological Psychiatry, Journal of Gastrointestinal Surgery and Alzheimer s & Dementia.
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.