Timothy J. W. Dawes

4.0k total citations · 1 hit paper
39 papers, 1.5k citations indexed

About

Timothy J. W. Dawes is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Timothy J. W. Dawes has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 13 papers in Pulmonary and Respiratory Medicine and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Timothy J. W. Dawes's work include Cardiovascular Function and Risk Factors (16 papers), Pulmonary Hypertension Research and Treatments (10 papers) and Cardiac Imaging and Diagnostics (7 papers). Timothy J. W. Dawes is often cited by papers focused on Cardiovascular Function and Risk Factors (16 papers), Pulmonary Hypertension Research and Treatments (10 papers) and Cardiac Imaging and Diagnostics (7 papers). Timothy J. W. Dawes collaborates with scholars based in United Kingdom, Singapore and United States. Timothy J. W. Dawes's co-authors include Antonio de Marvao, Declan P. O’Regan, Daniel Rueckert, Stuart A. Cook, Wenjia Bai, Wenzhe Shi, José Caballero, Ben Glocker, Mattias P. Heinrich‬ and Ozan Oktay and has published in prestigious journals such as Nature, The Lancet and Bioinformatics.

In The Last Decade

Timothy J. W. Dawes

34 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

2017 438 citations Ozan Oktay, Enzo Ferrante et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timothy J. W. Dawes United Kingdom	17	615	534	531	227	168	39	1.5k
Antonio de Marvao United Kingdom	22	695 1.1×	587 1.1×	756 1.4×	270 1.2×	182 1.1×	67	1.9k
Constantine Butakoff Spain	21	311 0.5×	364 0.7×	641 1.2×	163 0.7×	112 0.7×	65	1.5k
Deep Gupta India	23	311 0.5×	397 0.7×	378 0.7×	135 0.6×	301 1.8×	59	1.2k
Erik Smistad Norway	19	583 0.9×	284 0.5×	449 0.8×	205 0.9×	155 0.9×	53	1.1k
Djamal Boukerroui France	13	650 1.1×	875 1.6×	190 0.4×	296 1.3×	140 0.8×	30	1.5k
Kristen M. Meiburger Italy	24	582 0.9×	274 0.5×	400 0.8×	339 1.5×	443 2.6×	90	1.5k
Bob D. de Vos Netherlands	15	1.1k 1.8×	435 0.8×	318 0.6×	679 3.0×	185 1.1×	38	1.7k
Spyretta Golemati Greece	24	708 1.2×	361 0.7×	819 1.5×	259 1.1×	956 5.7×	77	2.0k
Xiangrong Zhou Japan	21	842 1.4×	476 0.9×	146 0.3×	425 1.9×	289 1.7×	94	1.8k
M. Pantziaris Cyprus	21	480 0.8×	784 1.5×	692 1.3×	163 0.7×	704 4.2×	57	1.7k

Countries citing papers authored by Timothy J. W. Dawes

Since Specialization

Citations

This map shows the geographic impact of Timothy J. W. Dawes'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 Timothy J. W. Dawes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy J. W. Dawes more than expected).

Fields of papers citing papers by Timothy J. W. Dawes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J. W. Dawes. 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 Timothy J. W. Dawes. The network helps show where Timothy J. W. Dawes may publish in the future.

Co-authorship network of co-authors of Timothy J. W. Dawes

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy J. W. Dawes. A scholar is included among the top collaborators of Timothy J. W. Dawes 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 Timothy J. W. Dawes. Timothy J. W. Dawes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Price, Laura, Ifan Jenkin, Konstantinos Dimopoulos, et al.. (2025). Survival in Patients With Pulmonary Hypertension Associated With Fibrotic Interstitial Lung Disease is Independent of ILD Subtype: A London Study. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A3281–A3281.

Baxan, Nicoleta, Ali Ashek, Lin Zhao, et al.. (2025). Automated Bi‐Ventricular Segmentation and Regional Cardiac Wall Motion Analysis for Rat Models of Pulmonary Hypertension. Pulmonary Circulation. 15(2). e70092–e70092.

Dawes, Timothy J. W., Angus McEwan, Graham Derrick, et al.. (2024). Predicting Peri-Operative Cardiorespiratory Adverse Events in Children with Idiopathic Pulmonary Arterial Hypertension Undergoing Cardiac Catheterization Using Echocardiography: A Cohort Study. Pediatric Cardiology. 46(2). 475–484.

Meyer, Hannah V., Timothy J. W. Dawes, Marta Serrani, et al.. (2020). Genetic and functional insights into the fractal structure of the heart. Nature. 584(7822). 589–594. 78 indexed citations

Duan, Jinming, Ghalib Bello, Jo Schlemper, et al.. (2019). Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach. IEEE Transactions on Medical Imaging. 38(9). 2151–2164. 137 indexed citations

Bhuva, Anish, Thomas A. Treibel, Antonio de Marvao, et al.. (2019). Sex and regional differences in myocardial plasticity in aortic stenosis are revealed by 3D model machine learning. European Heart Journal - Cardiovascular Imaging. 21(4). 417–427. 9 indexed citations

O’Regan, Declan P., Ghalib Bello, & Timothy J. W. Dawes. (2018). Multicentre study of machine learning to predict survival in pulmonary hypertension. OSF Preprints (OSF Preprints). 1 indexed citations

Oktay, Ozan, Enzo Ferrante, Konstantinos Kamnitsas, et al.. (2017). Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation. IEEE Transactions on Medical Imaging. 37(2). 384–395. 438 indexed citations breakdown →

Dawes, Timothy J. W., Antonio de Marvao, Wenzhe Shi, et al.. (2017). Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study. Radiology. 283(2). 381–390. 147 indexed citations

10.

Dawes, Timothy J. W., Antonio de Marvao, Paweł Tokarczuk, et al.. (2016). Pulmonary Artery Stiffness Is Independently Associated with Right Ventricular Mass and Function: A Cardiac MR Imaging Study. Radiology. 280(2). 398–404. 15 indexed citations

11.

Dawes, Timothy J. W., Ben Corden, Antonio de Marvao, et al.. (2016). Moderate Physical Activity in Healthy Adults Is Associated With Cardiac Remodeling. Circulation Cardiovascular Imaging. 9(8). 40 indexed citations

12.

Dawes, Timothy J. W., Antonio de Marvao, Wenzhe Shi, et al.. (2016). Use of artificial intelligence to predict survival in pulmonary hypertension. The Lancet. 387. S35–S35. 1 indexed citations

13.

Bai, Wenjia, Wenzhe Shi, Antonio de Marvao, et al.. (2015). A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion. Medical Image Analysis. 26(1). 133–145. 83 indexed citations

14.

Marvao, Antonio de, Timothy J. W. Dawes, Wenzhe Shi, et al.. (2015). Precursors of Hypertensive Heart Phenotype Develop in Healthy Adults. JACC. Cardiovascular imaging. 8(11). 1260–1269. 23 indexed citations

15.

Dawes, Timothy J. W. & Susanna Price. (2013). Transoesophageal echocardiography in high risk surgery. Continuing Education in Anaesthesia Critical Care & Pain. 13(5). 165–173.

16.

Shi, Wenzhe, José Caballero, Christian Ledig, et al.. (2013). Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch. Lecture notes in computer science. 16(Pt 3). 9–16. 159 indexed citations

17.

Dawes, Timothy J. W., et al.. (2011). The effect of sterilisation on the plasticity of multi‐use Eschmann gum elastic bougies: a bench and manikin study*. Anaesthesia. 66(12). 1134–1139. 4 indexed citations

18.

Maze, Michael J., Alan Pithie, Timothy J. W. Dawes, & Stephen T. Chambers. (2011). An audit of venous duplex ultrasonography in patients with lower limb cellulitis.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 124(1329). 53–6. 7 indexed citations

19.

Dawes, Timothy J. W., et al.. (2007). Green ICT? Current research into the environmental impact of ICT. Research Repository (Kingston University London). 2 indexed citations

20.

Dawes, Timothy J. W., et al.. (2004). Training improves medical student performance in image interpretation. British Journal of Radiology. 77(921). 775–776. 30 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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