Steven E. Williams

3.4k total citations
126 papers, 1.9k citations indexed

About

Steven E. Williams is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Steven E. Williams has authored 126 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Cardiology and Cardiovascular Medicine, 33 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Steven E. Williams's work include Cardiac Arrhythmias and Treatments (67 papers), Atrial Fibrillation Management and Outcomes (57 papers) and Cardiac electrophysiology and arrhythmias (45 papers). Steven E. Williams is often cited by papers focused on Cardiac Arrhythmias and Treatments (67 papers), Atrial Fibrillation Management and Outcomes (57 papers) and Cardiac electrophysiology and arrhythmias (45 papers). Steven E. Williams collaborates with scholars based in United Kingdom, United States and Germany. Steven E. Williams's co-authors include Mark O’Neill, Ali Roghanian, Jean‐Michel Sallenave, John Whitaker, Matthew Wright, Steven Niederer, Reza Razavi, Henry Chubb, Iain Sim and Irum Kotadia and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and European Heart Journal.

In The Last Decade

Steven E. Williams

119 papers receiving 1.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Steven E. Williams 1.3k 364 223 191 179 126 1.9k
Shoji Suzuki 378 0.3× 232 0.6× 357 1.6× 374 2.0× 520 2.9× 120 1.6k
Antonios P. Antoniadis 774 0.6× 404 1.1× 476 2.1× 893 4.7× 168 0.9× 134 1.9k
Ayman A. Hussein 2.3k 1.8× 170 0.5× 115 0.5× 345 1.8× 191 1.1× 161 2.8k
Heike Freidank 1.5k 1.2× 774 2.1× 221 1.0× 491 2.6× 352 2.0× 48 2.4k
David A. Foley 372 0.3× 377 1.0× 352 1.6× 289 1.5× 589 3.3× 89 1.7k
Jun Guo 338 0.3× 182 0.5× 197 0.9× 205 1.1× 102 0.6× 103 987
James D. Bergin 848 0.7× 310 0.9× 122 0.5× 768 4.0× 256 1.4× 66 1.7k
Alexander Isaak 425 0.3× 387 1.1× 82 0.4× 199 1.0× 202 1.1× 95 1.2k
George H. Crossley 2.7k 2.1× 157 0.4× 76 0.3× 669 3.5× 245 1.4× 93 3.5k
Peter M. Scholz 744 0.6× 115 0.3× 218 1.0× 578 3.0× 163 0.9× 68 1.9k

Countries citing papers authored by Steven E. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Steven E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven E. Williams. 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 Steven E. Williams. The network helps show where Steven E. Williams may publish in the future.

Co-authorship network of co-authors of Steven E. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Steven E. Williams. A scholar is included among the top collaborators of Steven E. Williams 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 Steven E. Williams. Steven E. Williams 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.
Burns, Rachel, Irum Kotadia, Ali Gharaviri, et al.. (2025). GenECG: a synthetic image-based ECG dataset to augment artificial intelligence-enhanced algorithm development. BMJ Health & Care Informatics. 32(1). e101335–e101335.
2.
Marín, José María, et al.. (2025). SciBlend: Advanced data visualization workflows within Blender. Computers & Graphics. 130. 104264–104264. 1 indexed citations
3.
Burggren, Warren W., Naim M. Bautista, Regina Fritsche‐Danielson, et al.. (2024). A larval zebrafish model of cardiac physiological recovery following cardiac arrest and myocardial hypoxic damage. Biology Open. 13(9). 1 indexed citations
4.
Lee, Angela, Steven E. Williams, Reza Razavi, et al.. (2024). Structural phenotyping in atrial fibrillation with combined cardiac CT and atrial MRI: Identifying and differentiating individual structural remodelling types in AF. Journal of Cardiovascular Electrophysiology. 35(9). 1788–1796.
5.
Lip, Gregory Y.H., et al.. (2023). Imaging and biophysical modelling of thrombogenic mechanisms in atrial fibrillation and stroke. Frontiers in Cardiovascular Medicine. 9. 1074562–1074562. 19 indexed citations
6.
Kotadia, Irum, Ali Gharaviri, Fernando Zelaya, et al.. (2023). The Impact of Atrial Fibrillation Treatment Strategies on Cognitive Function. Journal of Clinical Medicine. 12(9). 3050–3050. 9 indexed citations
7.
Aimo, Alberto, Iacopo Fabiani, Pier Giorgio Masci, et al.. (2023). Magnetic resonance imaging for diagnostic workup of embolic stroke of undetermined source: A systematic review. International Journal of Stroke. 19(3). 293–304. 2 indexed citations
8.
Solís-Lemus, José Alonso, Ali Gharaviri, Orod Razeghi, et al.. (2023). Evaluation of an open-source pipeline to create patient-specific left atrial models: A reproducibility study. Computers in Biology and Medicine. 162. 107009–107009. 13 indexed citations
9.
Williams, Steven E., et al.. (2023). The impact of aging and atrial fibrillation on thrombus formation in-silico. European Heart Journal. 44(Supplement_2). 2 indexed citations
10.
Roney, Caroline H., Iain Sim, Cristóbal Rodero, et al.. (2023). In silico biatrial fibrosis ablation improves atrial fibrillation outcome. EP Europace. 25(Supplement_1). 1 indexed citations
11.
Kotadia, Irum, Caroline H. Roney, Richard Parker, et al.. (2023). AF and in-hospital mortality in COVID-19 patients. Heart Rhythm O2. 4(11). 700–707. 3 indexed citations
12.
Williams, Michelle C., et al.. (2023). State of the art paper: Cardiac computed tomography of the left atrium in atrial fibrillation. Journal of cardiovascular computed tomography. 17(3). 166–176. 11 indexed citations
13.
Williams, Steven E., Michelle C. Williams, David E. Newby, et al.. (2023). Deep learning estimation of three-dimensional left atrial shape from two-chamber and four-chamber cardiac long axis views. European Heart Journal - Cardiovascular Imaging. 24(5). 607–615. 4 indexed citations
14.
Harris, P M, et al.. (2022). Multi-Class ECG Feature Importance Rankings: Cardiologists vs. Algorithms. Computing in cardiology. 3 indexed citations
15.
Connolly, Adam, Caroline Mendonça Costa, Fernando O. Campos, et al.. (2021). An in-silico assessment of efficacy of two novel intra-cardiac electrode configurations versus traditional anti-tachycardia pacing therapy for terminating sustained ventricular tachycardia. Computers in Biology and Medicine. 139. 104987–104987. 2 indexed citations
16.
Wardlaw, Joanna M., Fergus Doubal, Rosalind Brown, et al.. (2020). Rates, risks and routes to reduce vascular dementia (R4vad), a UK-wide multicentre prospective observational cohort study of cognition after stroke: Protocol. European Stroke Journal. 6(1). 89–101. 14 indexed citations
17.
Gould, Justin, Bradley Porter, Benjamin Sieniewicz, et al.. (2018). Transvenous lead extraction in patients with cardiac resynchronization therapy devices is not associated with increased 30-day mortality. EP Europace. 21(6). 928–936. 10 indexed citations
18.
Sohal, Manav, Steven E. Williams, Majid Niaz Akhtar, et al.. (2013). Laser lead extraction to facilitate cardiac implantable electronic device upgrade and revision in the presence of central venous obstruction. EP Europace. 16(1). 81–87. 31 indexed citations
19.
Williams, Steven E., Thomas Ernst, & Jonathan Birns. (2012). Autonomic failure following deep brain stimulation for Parkinson's disease. British Journal of Hospital Medicine. 73(3). 170–171. 4 indexed citations
20.

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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