Kavitha Vimalesvaran

581 total citations
16 papers, 86 citations indexed

About

Kavitha Vimalesvaran is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Kavitha Vimalesvaran has authored 16 papers receiving a total of 86 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Cardiology and Cardiovascular Medicine and 3 papers in Surgery. Recurrent topics in Kavitha Vimalesvaran's work include Cardiac Imaging and Diagnostics (11 papers), Cardiovascular Function and Risk Factors (5 papers) and Cardiac Valve Diseases and Treatments (3 papers). Kavitha Vimalesvaran is often cited by papers focused on Cardiac Imaging and Diagnostics (11 papers), Cardiovascular Function and Risk Factors (5 papers) and Cardiac Valve Diseases and Treatments (3 papers). Kavitha Vimalesvaran collaborates with scholars based in United Kingdom, United States and Australia. Kavitha Vimalesvaran's co-authors include Diana A. Gorog, Dárrel P. Francis, Graham D. Cole, Daniel Darbyshire, Aamir Saifuddin, Morris Gordon, Matthew Shun‐Shin, Massoud Zolgharni, Ronak Rajani and Sameer Zaman and has published in prestigious journals such as Circulation, European Heart Journal and BMJ Open.

In The Last Decade

Kavitha Vimalesvaran

12 papers receiving 81 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kavitha Vimalesvaran United Kingdom 5 40 37 16 13 7 16 86
Filip Lončarić Spain 7 102 2.5× 53 1.4× 14 0.9× 27 2.1× 11 1.6× 22 138
Ahmad Alrawashdeh Jordan 5 28 0.7× 11 0.3× 5 0.3× 9 0.7× 6 0.9× 31 90
Alastair Mobley United Kingdom 4 59 1.5× 12 0.3× 3 0.2× 6 0.5× 5 0.7× 4 87
Antoine Hutt France 5 15 0.4× 55 1.5× 41 2.6× 12 0.9× 27 3.9× 9 86
Yaacoub Chahine United States 6 70 1.8× 19 0.5× 7 0.4× 11 0.8× 8 1.1× 19 94
Elżbieta Gadula‐Gacek Poland 6 133 3.3× 41 1.1× 16 1.0× 48 3.7× 12 1.7× 17 163
Laura García Spain 2 48 1.2× 32 0.9× 5 0.3× 17 1.3× 23 3.3× 4 78
Saer Abu-Alrub France 7 151 3.8× 12 0.3× 26 1.6× 8 0.6× 6 0.9× 13 183
Stephan Achenbach Germany 4 57 1.4× 63 1.7× 13 0.8× 37 2.8× 11 1.6× 10 97
Vinh Pham Vietnam 5 41 1.0× 15 0.4× 9 0.6× 25 1.9× 19 2.7× 14 96

Countries citing papers authored by Kavitha Vimalesvaran

Since Specialization
Citations

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

Fields of papers citing papers by Kavitha Vimalesvaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kavitha Vimalesvaran. 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 Kavitha Vimalesvaran. The network helps show where Kavitha Vimalesvaran may publish in the future.

Co-authorship network of co-authors of Kavitha Vimalesvaran

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

All Works

16 of 16 papers shown
1.
Cheung, Hoi Ching, Muhammad Mohsin, Ahmed Salih, et al.. (2025). Automating real-time flow quantification and alias detection with deep learning. Journal of Cardiovascular Magnetic Resonance. 27. 101486–101486. 1 indexed citations
2.
Vimalesvaran, Kavitha, Mark Harrison, Sarim Ather, et al.. (2024). Assessing the effectiveness of artificial intelligence (AI) in prioritising CT head interpretation: study protocol for a stepped-wedge cluster randomised trial (ACCEPT-AI). BMJ Open. 14(6). e078227–e078227. 1 indexed citations
3.
Cheung, Hoi Ching, Kavitha Vimalesvaran, Sameer Zaman, et al.. (2024). Automating quality control in cardiac magnetic resonance: Artificial intelligence for discriminative assessment of planning and motion artifacts and real-time reacquisition guidance. Journal of Cardiovascular Magnetic Resonance. 26(2). 101067–101067. 1 indexed citations
4.
Vimalesvaran, Kavitha, Sameer Zaman, James P. Howard, et al.. (2024). Aortic stenosis assessment from the 3-chamber cine: Ratio of balanced steady-state-free-precession (bSSFP) blood signal between the aorta and left ventricle predicts severity. Journal of Cardiovascular Magnetic Resonance. 26(1). 100005–100005.
6.
Vimalesvaran, Kavitha, Sameer Zaman, James P. Howard, et al.. (2024). 18 Automated vendor-independent detection and quantification of aortic stenosis from a 3-chamber bSSFP cine view. Abstracts. A11–A13.
7.
Howard, James P., Graham D. Cole, Sanjeev Bhattacharyya, et al.. (2024). 2-Dimensional Echocardiographic Global Longitudinal Strain With Artificial Intelligence Using Open Data From a UK-Wide Collaborative. JACC. Cardiovascular imaging. 17(8). 865–876. 6 indexed citations
9.
Howard, James P., Graham D. Cole, Kajaluxy Ananthan, et al.. (2021). Automated Left Ventricular Dimension Assessment Using Artificial Intelligence Developed and Validated by a UK-Wide Collaborative. Circulation Cardiovascular Imaging. 14(5). e011951–e011951. 24 indexed citations
10.
Zaman, Sameer, Kavitha Vimalesvaran, James P. Howard, et al.. (2021). Automatic Diagnosis Labeling of Cardiovascular MRI by Using Semisupervised Natural Language Processing of Text Reports. Radiology Artificial Intelligence. 4(1). e210085–e210085. 16 indexed citations
11.
Howard, James, Camelia Demetrescu, Sanjeev Bhattacharyya, et al.. (2021). Fully automated global longitudinal strain assessment using artificial intelligence developed and validated by a UK-wide echocardiography expert collaborative. European Heart Journal. 42(Supplement_1). 1 indexed citations
12.
Howard, James, Graham D. Cole, Kajaluxy Ananthan, et al.. (2021). Automated left ventricular dimension assessment using artificial intelligence. European Heart Journal. 42(Supplement_1). 1 indexed citations
13.
Shetye, Abhishek, Kristopher Knott, Yousuf Razvi, et al.. (2021). Myocardial perfusion after COVID-19 infection: No persisting impaired myocardial blood flow in surviving patients. European Heart Journal - Cardiovascular Imaging. 22(Supplement_2). 2 indexed citations
14.
Vimalesvaran, Kavitha, et al.. (2018). Role of rivaroxaban in the management of atrial fibrillation: insights from clinical practice. Vascular Health and Risk Management. Volume 14. 13–21. 15 indexed citations
15.
Vimalesvaran, Kavitha, Matthew Lumley, Nicholas Child, et al.. (2015). Recurrent Right Coronary Artery Occlusion Caused by Cardiac Fibroelastoma Attached to the Aortic Valve. Circulation. 131(6). 593–595. 3 indexed citations
16.
Gordon, Morris, Daniel Darbyshire, Aamir Saifuddin, & Kavitha Vimalesvaran. (2013). Limitations of poster presentations reporting educational innovations at a major international medical education conference. Medical Education Online. 18(1). 20498–20498. 12 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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