Matthew Sinclair

2.6k total citations
23 papers, 395 citations indexed

About

Matthew Sinclair is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Matthew Sinclair has authored 23 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Cardiology and Cardiovascular Medicine and 5 papers in Surgery. Recurrent topics in Matthew Sinclair's work include Cardiovascular Function and Risk Factors (10 papers), Cardiac Imaging and Diagnostics (9 papers) and Advanced MRI Techniques and Applications (8 papers). Matthew Sinclair is often cited by papers focused on Cardiovascular Function and Risk Factors (10 papers), Cardiac Imaging and Diagnostics (9 papers) and Advanced MRI Techniques and Applications (8 papers). Matthew Sinclair collaborates with scholars based in United Kingdom, France and Netherlands. Matthew Sinclair's co-authors include Andrew P. King, Bram Ruijsink, Esther Puyol‐Antón, Wenjia Bai, Julia A. Schnabel, Reza Razavi, İlkay Öksüz, Daniel Rueckert, Michiel Schaap and Juan J. Cerrolaza and has published in prestigious journals such as European Heart Journal, Computer Methods in Applied Mechanics and Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Matthew Sinclair

23 papers receiving 391 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew Sinclair United Kingdom 12 230 173 87 65 60 23 395
Giacomo Tarroni Italy 10 172 0.7× 118 0.7× 70 0.8× 31 0.5× 61 1.0× 30 377
Amir H. Abdi Canada 10 167 0.7× 127 0.7× 96 1.1× 21 0.3× 50 0.8× 23 392
Kristin McLeod Norway 9 106 0.5× 120 0.7× 53 0.6× 36 0.6× 78 1.3× 17 331
Mostafa Ghelich Oghli Iran 9 237 1.0× 62 0.4× 107 1.2× 18 0.3× 97 1.6× 19 386
Hany Girgis Netherlands 9 144 0.6× 141 0.8× 46 0.5× 29 0.4× 29 0.5× 32 276
Saman Nouranian Canada 9 94 0.4× 59 0.3× 72 0.8× 36 0.6× 78 1.3× 13 237
Christian P. Mol Netherlands 12 288 1.3× 40 0.2× 119 1.4× 39 0.6× 35 0.6× 18 447
Esther Puyol‐Antón United Kingdom 12 262 1.1× 247 1.4× 91 1.0× 20 0.3× 43 0.7× 40 481
Mehran Pesteie Canada 10 108 0.5× 38 0.2× 79 0.9× 45 0.7× 43 0.7× 15 251
Sarah Leclerc France 10 179 0.8× 143 0.8× 50 0.6× 20 0.3× 66 1.1× 21 286

Countries citing papers authored by Matthew Sinclair

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthew Sinclair

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Sinclair. A scholar is included among the top collaborators of Matthew Sinclair based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Sinclair. Matthew Sinclair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sinclair, Matthew, et al.. (2024). Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
2.
Sinclair, Matthew, et al.. (2024). Image-To-Tree with Recursive Prompting. 1–5. 2 indexed citations
3.
Sinclair, Matthew, Andreas Schuh, Kersten Petersen, et al.. (2022). Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks. Medical Image Analysis. 78. 102383–102383. 18 indexed citations
4.
Kim, Hyun Jin, Matthew Sinclair, Michiel Schaap, et al.. (2020). Myocardial Perfusion Simulation for Coronary Artery Disease: A Coupled Patient-Specific Multiscale Model. Annals of Biomedical Engineering. 49(5). 1432–1447. 32 indexed citations
5.
Puyol‐Antón, Esther, Bram Ruijsink, Christian F. Baumgartner, et al.. (2020). Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with uncertainty-based quality-control. Repository for Publications and Research Data (ETH Zurich). 28 indexed citations
6.
Kim, Hyun Jin, Matthew Sinclair, Michiel Schaap, et al.. (2020). Patient-specific, multiscale, myocardial blood flow simulation for coronary artery disease. Computer Methods in Biomechanics & Biomedical Engineering. 23(sup1). S218–S220. 1 indexed citations
7.
Ruijsink, Bram, Esther Puyol‐Antón, İlkay Öksüz, et al.. (2019). Fully Automated, Quality-Controlled Cardiac Analysis From CMR. JACC. Cardiovascular imaging. 13(3). 684–695. 104 indexed citations
8.
Öksüz, İlkay, Bram Ruijsink, Esther Puyol‐Antón, et al.. (2018). Automatic left ventricular outflow tract classification for accurate cardiac MR planning. 462–465. 3 indexed citations
9.
Li, Yuanwei, Amir Alansary, Juan J. Cerrolaza, et al.. (2018). Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network. Lecture notes in computer science. 2018. 563–571. 27 indexed citations
10.
Puyol‐Antón, Esther, Bram Ruijsink, Wenjia Bai, et al.. (2018). Fully automated myocardial strain estimation from cine MRI using convolutional neural networks. Research Portal (King's College London). 1139–1143. 13 indexed citations
11.
Cerrolaza, Juan J., Matthew Sinclair, Yuanwei Li, et al.. (2018). Deep learning with ultrasound physics for fetal skull segmentation. Research Portal (King's College London). 564–567. 22 indexed citations
12.
Cerrolaza, Juan J., Yuanwei Li, Carlo Biffi, et al.. (2018). Fetal Skull Reconstruction via Deep Convolutional Autoencoders. PubMed. 2018. 887–890. 4 indexed citations
13.
Li, Yuanwei, Juan J. Cerrolaza, Matthew Sinclair, et al.. (2018). Standard Plane Localisation in 3D Fetal Ultrasound Using Network with Geometric and Image Loss. 4 indexed citations
14.
Sinclair, Matthew, Emily Skelton, Yuanwei Li, et al.. (2018). Cascaded Transforming Multi-task Networks For Abdominal Biometric Estimation from Ultrasound. 4 indexed citations
15.
Puyol‐Antón, Esther, Matthew Sinclair, Bernhard Gerber, et al.. (2017). A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data. Medical Image Analysis. 40. 96–110. 16 indexed citations
16.
Peressutti, Devis, Matthew Sinclair, Wenjia Bai, et al.. (2016). A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction. Medical Image Analysis. 35. 669–684. 25 indexed citations
17.
Sinclair, Matthew, Pepijn van Horssen, Roman Wesołowski, et al.. (2016). Impact of coronary bifurcation morphology on wave propagation. American Journal of Physiology-Heart and Circulatory Physiology. 311(4). H855–H870. 6 indexed citations
18.
Sinclair, Matthew, Jack Lee, Andreas Schuster, et al.. (2015). Microsphere skimming in the porcine coronary arteries: Implications for flow quantification. Microvascular Research. 100. 59–70. 7 indexed citations
19.
Sinclair, Matthew, et al.. (2015). Measurement and modeling of coronary blood flow. WIREs Systems Biology and Medicine. 7(6). 335–356. 13 indexed citations
20.
Zarinabad, Niloufar, Amedeo Chiribiri, Gilion Hautvast, et al.. (2013). Modelling Parameter Role on Accuracy of Cardiac Perfusion Quantification.. Lecture notes in computer science. 1 indexed citations

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.

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