Steven Niederer

11.0k total citations · 1 hit paper
322 papers, 6.4k citations indexed

About

Steven Niederer is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Steven Niederer has authored 322 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 288 papers in Cardiology and Cardiovascular Medicine, 50 papers in Radiology, Nuclear Medicine and Imaging and 37 papers in Molecular Biology. Recurrent topics in Steven Niederer's work include Cardiac electrophysiology and arrhythmias (159 papers), Cardiac Arrhythmias and Treatments (132 papers) and Cardiac pacing and defibrillation studies (109 papers). Steven Niederer is often cited by papers focused on Cardiac electrophysiology and arrhythmias (159 papers), Cardiac Arrhythmias and Treatments (132 papers) and Cardiac pacing and defibrillation studies (109 papers). Steven Niederer collaborates with scholars based in United Kingdom, United States and Austria. Steven Niederer's co-authors include Nicolas P. Smith, Gernot Plank, Christopher A. Rinaldi, Natalia A. Trayanova, Sander Land, Mark O’Neill, Joost Lumens, Martin J. Bishop, Peter Hunter and Reza Razavi and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Steven Niederer

303 papers receiving 6.3k 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.

Computational models in cardiology

2018 273 citations Steven Niederer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steven Niederer United Kingdom	42	5.1k	1.1k	996	800	520	322	6.4k
Gernot Plank Austria	44	5.2k 1.0×	1.2k 1.0×	789 0.8×	954 1.2×	370 0.7×	261	6.5k
Nicolas P. Smith United Kingdom	39	2.8k 0.6×	1.1k 1.0×	1.1k 1.1×	860 1.1×	599 1.2×	148	4.6k
Sanjiv M. Narayan United States	47	7.0k 1.4×	451 0.4×	822 0.8×	638 0.8×	361 0.7×	321	8.9k
Edward J. Vigmond France	45	4.7k 0.9×	561 0.5×	1.2k 1.2×	489 0.6×	182 0.3×	209	5.8k
Natalia A. Trayanova United States	60	9.8k 1.9×	1.6k 1.4×	2.4k 2.4×	1.6k 2.0×	574 1.1×	422	12.4k
Rob MacLeod United States	45	6.3k 1.2×	653 0.6×	284 0.3×	2.5k 3.1×	298 0.6×	315	8.5k
Maxime Sermesant France	37	2.6k 0.5×	979 0.9×	158 0.2×	1.6k 2.1×	357 0.7×	171	4.4k
Vicente Grau United Kingdom	30	1.0k 0.2×	669 0.6×	314 0.3×	1.2k 1.6×	179 0.3×	144	3.5k
Kelvin K. L. Wong Australia	39	660 0.1×	800 0.7×	791 0.8×	728 0.9×	626 1.2×	162	4.0k
Elif Derya Übeylï Türkiye	38	1.6k 0.3×	743 0.7×	340 0.3×	245 0.3×	67 0.1×	132	5.3k

Countries citing papers authored by Steven Niederer

Since Specialization

Citations

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

Fields of papers citing papers by Steven Niederer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Niederer

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Niederer. A scholar is included among the top collaborators of Steven Niederer 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 Niederer. Steven Niederer 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

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.

Rodero, Cristóbal, et al.. (2025). Weaving the Digital Tapestry: Methods for Emulating Cohorts of Cardiac Digital Twins Using Gaussian Processes. Annals of Biomedical Engineering. 54(2). 514–530.

Wijesuriya, Nadeev, Sandra Howell, Joshua Wilcox, et al.. (2025). Cardiac implantable electronic devices in the setting of tricuspid valve intervention: Risks, options, extraction and future perspectives: A state-of-the-art review. Heart Rhythm O2. 6(6). 880–892. 1 indexed citations

Strocchi, Marina, Christoph M. Augustin, Matthias A. F. Gsell, et al.. (2025). Integrating Imaging and Invasive Pressure Data into a Multiscale Whole-Heart Model. Journal of Biomechanical Engineering. 148(5). 1 indexed citations

Corrado, Cesare, et al.. (2024). Global Sensitivity Analysis of Left Atrial Electrophysiology Models. Computing in cardiology. 51.

Wijesuriya, Nadeev, Marina Strocchi, Mark K. Elliott, et al.. (2024). Optimizing electrical efficacy of leadless cardiac resynchronization therapy and leadless left ventricular septal pacing: Insights on left and right ventricular activation from electrocardiographic imaging. Heart Rhythm O2. 5(8). 551–560. 1 indexed citations

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

Mitchell, Lewis, Matthew Tung, Martín Aguilar, et al.. (2024). Observable Atrial and Ventricular Fibrillation Episode Durations Are Conformant With a Power Law Based on System Size and Spatial Synchronization. Circulation Arrhythmia and Electrophysiology. 17(7). e012684–e012684. 2 indexed citations

Strocchi, Marina, Yansha Deng, Alistair A. Young, et al.. (2023). Cardiac digital twins of the adult population: linking electrophysiological functions to anatomy. EP Europace. 25(Supplement_1). 2 indexed citations

10.

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

11.

Sidhu, Baldeep S., Angela Lee, Justin Gould, et al.. (2023). Guided implantation of a leadless left ventricular endocardial electrode and acoustic transmitter using computed tomography anatomy, dynamic perfusion and mechanics, and predicted activation pattern. Heart Rhythm. 20(11). 1481–1488. 3 indexed citations

12.

Strocchi, Marina, Christoph M. Augustin, Matthias A. F. Gsell, et al.. (2023). Cell to whole organ global sensitivity analysis on a four-chamber heart electromechanics model using Gaussian processes emulators. PLoS Computational Biology. 19(6). e1011257–e1011257. 37 indexed citations

13.

Mehta, Vishal, Hugh O’Brien, Mark K. Elliott, et al.. (2022). Machine learning–derived major adverse event prediction of patients undergoing transvenous lead extraction: Using the ESC EHRA EORP European lead extraction ConTRolled ELECTRa registry. Heart Rhythm. 19(6). 885–893. 4 indexed citations

14.

Rodero, Cristóbal, Marina Strocchi, M Marciniak, et al.. (2021). Linking statistical shape models and simulated function in the healthy adult human heart. PLoS Computational Biology. 17(4). e1008851–e1008851. 58 indexed citations

15.

Sidhu, Baldeep S., Justin Gould, Mark K. Elliott, et al.. (2021). Clinical effectiveness of a dedicated cardiac resynchronization therapy pre-assessment clinic incorporating cardiac magnetic resonance imaging and cardiopulmonary exercise testing on patient selection and outcomes. IJC Heart & Vasculature. 34. 100800–100800. 2 indexed citations

16.

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

17.

Roney, Caroline H., Steven Niederer, Christian Mahnkopf, et al.. (2020). Abstract 14899: Personalized Computational Modeling Identifies Embolic Stroke of Undetermined Source Patients With Potential Arrhythmic Substrate. Circulation. 142(Suppl_3). 1 indexed citations

18.

Strocchi, Marina, Christoph M. Augustin, Matthias A. F. Gsell, et al.. (2020). A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations. PLoS ONE. 15(6). e0235145–e0235145. 78 indexed citations

19.

Land, Sander & Steven Niederer. (2017). Influence of atrial contraction dynamics on cardiac function. International Journal for Numerical Methods in Biomedical Engineering. 34(3). 34 indexed citations

20.

Lee, Jack, Steven Niederer, David Nordsletten, et al.. (2009). Coupling contraction, excitation, ventricular and coronary blood flow across scale and physics in the heart. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 367(1901). 3331–3331. 7 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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