Matthew Sinclair
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
- Health Informatics top 5%
Papers in
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- Advanced MRI Techniques and Applications 9
- Cardiac Imaging and Diagnostics 9
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- Cardiovascular Function and Risk Factors 10
- Co-authors
- Wenjia Bai (9 shared papers)Daniel Rueckert (16 shared papers)Andrew P. King (11 shared papers)Martin Rajchl (4 shared papers)Ben Glocker (4 shared papers)Bernhard Kainz (8 shared papers)Ozan Oktay (4 shared papers)Giacomo Tarroni (2 shared papers)
- Journals
- Medical Image Analysis (3 papers)Lecture notes in computer science (12 papers)Microvascular Research (1 paper)WIREs Systems Biology and Medicine (1 paper)IEEE Transactions on Medical Imaging (1 paper)
- Partner nations
- United KingdomFranceNetherlands
In The Last Decade
Matthew Sinclair
34 papers receiving 1.2k citations
Matthew Sinclair's Hit Papers
Peers
Comparison fields: 5 of 88
- Neurology 220
- Health Informatics 35
- Radiology, Nuclear Medicine and Imaging 514
- Computer Vision and Pattern Recognition 533
- Cardiology and Cardiovascular Medicine 185
Countries citing papers authored by Matthew Sinclair
This map shows the geographic impact of Matthew Sinclair'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 Matthew Sinclair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Sinclair more than expected).
Fields of papers citing papers by Matthew Sinclair
This network shows the impact of papers produced by Matthew Sinclair. 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 Matthew Sinclair. The network helps show where Matthew Sinclair may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Sinclair, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation Hit paper breakdown → | 2017 | 308 |
| 2 | 2018 | 296 | |
| 3 | 2019 | 115 | |
| 4 | 2019 | 40 | |
| 5 | 2020 | 39 | |
| 6 | 2018 | 35 | |
| 7 | 2023 | 35 | |
| 8 | 2016 | 34 | |
| 9 | 2020 | 31 | |
| 10 | 2018 | 27 | |
| 11 | 2022 | 26 | |
| 12 | 2022 | 24 | |
| 13 | 2017 | 23 | |
| 14 | 2018 | 21 | |
| 15 | 2017 | 21 | |
| 16 | 2018 | 19 | |
| 17 | 2015 | 15 | |
| 18 | 2015 | 13 | |
| 19 | 2015 | 10 | |
| 20 | 2021 | 10 |
About Matthew Sinclair
Matthew Sinclair is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Artificial Intelligence and Pediatrics, Perinatology and Child Health, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (10 papers), Advanced MRI Techniques and Applications (9 papers), Cardiac Imaging and Diagnostics (9 papers), Domain Adaptation and Few-Shot Learning (8 papers), Fetal and Pediatric Neurological Disorders (8 papers), Coronary Interventions and Diagnostics (6 papers), Advanced Neural Network Applications (6 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Neurology (220 citations), Health Informatics (35 citations), Radiology, Nuclear Medicine and Imaging (514 citations), Computer Vision and Pattern Recognition (533 citations) and Cardiology and Cardiovascular Medicine (185 citations). Matthew Sinclair has collaborated with scholars based in United Kingdom, France and Netherlands. Frequent co-authors include Wenjia Bai, Daniel Rueckert, Andrew P. King, Martin Rajchl, Ben Glocker, Bernhard Kainz, Ozan Oktay, Giacomo Tarroni, Paul M. Matthews and Hideaki Suzuki. Their work appears in journals such as Medical Image Analysis, Lecture notes in computer science, Microvascular Research, WIREs Systems Biology and Medicine and IEEE Transactions on Medical Imaging.
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.