Olivier Salvado
- Psychiatry and Mental health top 0.2%
- Dementia and Cognitive Impairment Research 76
- Physiology top 0.2%
- Alzheimer's disease research and treatments 68
- Neurology top 0.5%
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- Advanced Neuroimaging Techniques and Applications 53
- Medical Imaging Techniques and Applications 47
- Advanced MRI Techniques and Applications 34
- Radiomics and Machine Learning in Medical Imaging 16
- Cognitive Neuroscience top 1%
- Functional Brain Connectivity Studies 30
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- Medical Image Segmentation Techniques 41
- Co-authors
- Victor L. VillemagnePierrick BourgeatColin L. MastersChristopher C. RoweRalph N. MartinsDavid AmesKathryn A. EllisJürgen Fripp
- Journals
- Journal of Neuroscience (1 paper)PLoS ONE (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Olivier Salvado
246 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Psychiatry and Mental health 3.7k
- Physiology 4.0k
- Neurology 1.2k
- Radiology, Nuclear Medicine and Imaging 2.8k
- Cognitive Neuroscience 2.0k
Countries citing papers authored by Olivier Salvado
This map shows the geographic impact of Olivier Salvado'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 Olivier Salvado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Salvado more than expected).
Fields of papers citing papers by Olivier Salvado
This network shows the impact of papers produced by Olivier Salvado. 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 Olivier Salvado. The network helps show where Olivier Salvado may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Olivier Salvado, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 11 | |
| 4 | CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction | 2021 | 5 |
| 5 | 2020 | 19 | |
| 6 | 2018 | 21 | |
| 7 | 2018 | 13 | |
| 8 | 2018 | 1 | |
| 9 | 2018 | 26 | |
| 10 | 2018 | 20 | |
| 11 | 2018 | 89 | |
| 12 | 2017 | 16 | |
| 13 | 2017 | 0 | |
| 14 | 2016 | 1 | |
| 15 | Predicting poststroke depression from structural brain connectivity | 2014 | 1 |
| 16 | Investigating brain connectivity heritability in a twin study using diffusion imaging data | 2014 | 1 |
| 17 | 2012 | 195 | |
| 18 | Automatic classification of high grade brain tumour MRI for improved resection and therapy planning | 2012 | 1 |
| 19 | Apparent Fibre Density: A novel measure for the analysis of diffusion-weighted magnetic resonance imagesbreakdown → | 2011 | 434 |
| 20 | 2010 | 62 |
About Olivier Salvado
Olivier Salvado is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 254 papers that have together received 9.1k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (76 papers), Alzheimer's disease research and treatments (68 papers), Advanced Neuroimaging Techniques and Applications (53 papers), Medical Imaging Techniques and Applications (47 papers), Medical Image Segmentation Techniques (41 papers), Advanced MRI Techniques and Applications (34 papers), Functional Brain Connectivity Studies (30 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). The work is most often cited by research in Psychiatry and Mental health (3.7k citations), Physiology (4.0k citations) and Neurology (1.2k citations). Olivier Salvado has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Victor L. Villemagne, Pierrick Bourgeat, Colin L. Masters, Christopher C. Rowe, Ralph N. Martins, David Ames, Kathryn A. Ellis, Jürgen Fripp, Cassandra Szoeke and Paul Maruff. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.