Mark K. Elliott

1.1k total citations
68 papers, 622 citations indexed

About

Mark K. Elliott is a scholar working on Cardiology and Cardiovascular Medicine, Neurology and Surgery. According to data from OpenAlex, Mark K. Elliott has authored 68 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Cardiology and Cardiovascular Medicine, 19 papers in Neurology and 8 papers in Surgery. Recurrent topics in Mark K. Elliott's work include Cardiac pacing and defibrillation studies (53 papers), Cardiac Arrhythmias and Treatments (49 papers) and Cardiac electrophysiology and arrhythmias (29 papers). Mark K. Elliott is often cited by papers focused on Cardiac pacing and defibrillation studies (53 papers), Cardiac Arrhythmias and Treatments (49 papers) and Cardiac electrophysiology and arrhythmias (29 papers). Mark K. Elliott collaborates with scholars based in United Kingdom, Austria and United States. Mark K. Elliott's co-authors include Christopher A. Rinaldi, Vishal Mehta, Baldeep S. Sidhu, Steven Niederer, Justin Gould, Jonathan M. Behar, Nadeev Wijesuriya, Bradley Porter, Marina Strocchi and Gernot Plank and has published in prestigious journals such as Neurosurgery, Arthroscopy The Journal of Arthroscopic and Related Surgery and Frontiers in Physiology.

In The Last Decade

Mark K. Elliott

59 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark K. Elliott United Kingdom 16 479 124 123 50 47 68 622
Peter Paul H.M. Delnoy Netherlands 23 1.5k 3.2× 200 1.6× 172 1.4× 61 1.2× 60 1.3× 79 1.6k
Nishant Verma United States 14 579 1.2× 53 0.4× 50 0.4× 57 1.1× 25 0.5× 46 639
Bradley Porter United Kingdom 18 733 1.5× 91 0.7× 93 0.8× 108 2.2× 49 1.0× 70 825
Mahmoud Houmsse United States 15 748 1.6× 128 1.0× 119 1.0× 30 0.6× 41 0.9× 58 806
Frederik Holmgaard Denmark 10 248 0.5× 58 0.5× 126 1.0× 42 0.8× 25 0.5× 18 373
Benjamin Sieniewicz United Kingdom 16 654 1.4× 115 0.9× 97 0.8× 95 1.9× 36 0.8× 54 698
Osnat Gurevitz Israel 18 699 1.5× 47 0.4× 122 1.0× 41 0.8× 78 1.7× 53 802
Anne G. Vedel Denmark 10 231 0.5× 58 0.5× 119 1.0× 32 0.6× 20 0.4× 18 352
Unai Ayala Spain 15 349 0.7× 54 0.4× 226 1.8× 47 0.9× 206 4.4× 44 679
Giuseppe Ricciardi Italy 18 752 1.6× 86 0.7× 77 0.6× 25 0.5× 28 0.6× 53 793

Countries citing papers authored by Mark K. Elliott

Since Specialization
Citations

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

Fields of papers citing papers by Mark K. Elliott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark K. Elliott. 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 Mark K. Elliott. The network helps show where Mark K. Elliott may publish in the future.

Co-authorship network of co-authors of Mark K. Elliott

This figure shows the co-authorship network connecting the top 25 collaborators of Mark K. Elliott. A scholar is included among the top collaborators of Mark K. Elliott 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 Mark K. Elliott. Mark K. Elliott 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.
Morgan, Holly, et al.. (2025). Electrocardiographic imaging metrics to predict the risk of arrhythmia in patients with ischemic cardiomyopathy. Journal of Arrhythmia. 41(1). e70024–e70024.
3.
Mehta, Vishal, YingLiang Ma, Nadeev Wijesuriya, et al.. (2024). Enhancing transvenous lead extraction risk prediction: Integrating imaging biomarkers into machine learning models. Heart Rhythm. 21(6). 919–928. 4 indexed citations
5.
Chen, Chen, Baldeep S. Sidhu, Bram Ruijsink, et al.. (2023). Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. Medical Image Analysis. 88. 102861–102861. 9 indexed citations
6.
Mehta, Vishal, Nadeev Wijesuriya, Sandra Howell, et al.. (2023). Long-term survival following transvenous lead extraction: unpicking differences according to sex. EP Europace. 25(9). 2 indexed citations
7.
Strocchi, Marina, Karli Gillette, Aurel Neic, et al.. (2023). Effect of scar and His–Purkinje and myocardium conduction on response to conduction system pacing. Journal of Cardiovascular Electrophysiology. 34(4). 984–993. 17 indexed citations
9.
Porter, Bradley, Nicholas Child, Baldeep S. Sidhu, et al.. (2022). Convergent ablation for persistent atrial fibrillation: outcomes from a single-centre real-world experience. European Journal of Cardio-Thoracic Surgery. 63(1). 5 indexed citations
10.
Puyol‐Antón, Esther, Baldeep S. Sidhu, Justin Gould, et al.. (2022). A multimodal deep learning model for cardiac resynchronisation therapy response prediction. Medical Image Analysis. 79. 102465–102465. 27 indexed citations
12.
Costa, Caroline Mendonça, Mark K. Elliott, John Whitaker, et al.. (2021). Determining anatomical and electrophysiological detail requirements for computational ventricular models of porcine myocardial infarction. Computers in Biology and Medicine. 141. 105061–105061. 10 indexed citations
14.
Mehta, Vishal, Mark K. Elliott, Baldeep S. Sidhu, et al.. (2021). Multipoint pacing for cardiac resynchronisation therapy in patients with heart failure: A systematic review and meta‐analysis. Journal of Cardiovascular Electrophysiology. 32(9). 2577–2589. 10 indexed citations
15.
Lee, Angela, Orod Razeghi, José Alonso Solís-Lemus, et al.. (2021). Non-invasive simulated electrical and measured mechanical indices predict response to cardiac resynchronization therapy. Computers in Biology and Medicine. 138. 104872–104872. 6 indexed citations
16.
Mehta, Vishal, Mark K. Elliott, Baldeep S. Sidhu, et al.. (2021). Long-term survival following transvenous lead extraction: Importance of indication and comorbidities. Heart Rhythm. 18(9). 1566–1576. 19 indexed citations
17.
Jackson, Tom, Simon Claridge, Jonathan M. Behar, et al.. (2021). Noninvasive electrocardiographic assessment of ventricular activation and remodeling response to cardiac resynchronization therapy. Heart Rhythm O2. 2(1). 12–18. 7 indexed citations
18.
Elliott, Mark K., Peggy Jacon, Baldeep S. Sidhu, et al.. (2021). Technical feasibility of leadless left bundle branch area pacing for cardiac resynchronization: a case series. European Heart Journal - Case Reports. 5(11). ytab379–ytab379. 14 indexed citations
19.
Costa, Caroline Mendonça, Aurel Neic, Karli Gillette, et al.. (2020). Left ventricular endocardial pacing is less arrhythmogenic than conventional epicardial pacing when pacing in proximity to scar. Heart Rhythm. 17(8). 1262–1270. 17 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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