Aurel Neic

1.9k total citations
47 papers, 1.2k citations indexed

About

Aurel Neic is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Aurel Neic has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cardiology and Cardiovascular Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Biomedical Engineering. Recurrent topics in Aurel Neic's work include Cardiac electrophysiology and arrhythmias (35 papers), Cardiovascular Function and Risk Factors (17 papers) and Cardiac pacing and defibrillation studies (16 papers). Aurel Neic is often cited by papers focused on Cardiac electrophysiology and arrhythmias (35 papers), Cardiovascular Function and Risk Factors (17 papers) and Cardiac pacing and defibrillation studies (16 papers). Aurel Neic collaborates with scholars based in Austria, United Kingdom and France. Aurel Neic's co-authors include Gernot Plank, Anton J. Prassl, Edward J. Vigmond, Steven Niederer, Christoph M. Augustin, Matthias A. F. Gsell, Martin J. Bishop, Elias Karabelas, Karli Gillette and Fernando O. Campos and has published in prestigious journals such as PLoS ONE, Journal of Computational Physics and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Aurel Neic

45 papers receiving 1.2k citations

Peers

Aurel Neic
Axel Loewe Germany
Robert Blake United States
Adityo Prakosa United States
Caroline H. Roney United Kingdom
Fijoy Vadakkumpadan United States
Chris P. Bradley New Zealand
Hermenegild Arevalo United States
Axel Loewe Germany
Aurel Neic
Citations per year, relative to Aurel Neic Aurel Neic (= 1×) peers Axel Loewe

Countries citing papers authored by Aurel Neic

Since Specialization
Citations

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

Fields of papers citing papers by Aurel Neic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurel Neic

This figure shows the co-authorship network connecting the top 25 collaborators of Aurel Neic. A scholar is included among the top collaborators of Aurel Neic 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 Aurel Neic. Aurel Neic 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.
Azzolin, Luca, Matthias A. F. Gsell, Anton J. Prassl, et al.. (2025). An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology. Medical Image Analysis. 107(Pt B). 103822–103822. 1 indexed citations
2.
Chen, Shawn, Aurel Neic, Gernot Plank, et al.. (2024). PO-06-033 IN SILICO MODELING OF DEFIBRILLATION THRESHOLDS WITH A NOVEL EV-ICD LEAD CONNECTED TO A PECTORALLY POSITIONED ICD PULSE GENERATOR. Heart Rhythm. 21(5). S675–S675. 1 indexed citations
3.
Arnold, Robert, Anton J. Prassl, Aurel Neic, et al.. (2024). pyCEPS: A cross-platform electroanatomic mapping data to computational model conversion platform for the calibration of digital twin models of cardiac electrophysiology. Computer Methods and Programs in Biomedicine. 254. 108299–108299. 2 indexed citations
4.
Bhagirath, Pranav, Fernando O. Campos, Pieter G. Postema, et al.. (2023). Arrhythmogenic vulnerability of re-entrant pathways in post-infarct ventricular tachycardia assessed by advanced computational modelling. EP Europace. 25(9). 8 indexed citations
5.
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
6.
Bhagirath, Pranav, Fernando O. Campos, Mark K. Elliott, et al.. (2023). Predicting ICD therapy and post-ablation ventricular tachycardia recurrence using cardiac MRI-based advanced computational reentrant pathway analysis. EP Europace. 25(Supplement_1).
7.
Gsell, Matthias A. F., et al.. (2023). Towards the Development of Virtual Heart Technology for Creating Digital Twins of Cardiac Electrophysiology. Computing in cardiology. 1 indexed citations
8.
Gillette, Karli, Matthias A. F. Gsell, Marina Strocchi, et al.. (2023). A personalized real-time virtual model of whole heart electrophysiology. EP Europace. 25(Supplement_1). 3 indexed citations
9.
Campos, Fernando O., Aurel Neic, Caroline Mendonça Costa, et al.. (2022). An automated near-real time computational method for induction and treatment of scar-related ventricular tachycardias. Medical Image Analysis. 80. 102483–102483. 14 indexed citations
10.
Gillette, Karli, Matthias A. F. Gsell, Marina Strocchi, et al.. (2022). A personalized real-time virtual model of whole heart electrophysiology. Frontiers in Physiology. 13. 907190–907190. 19 indexed citations
11.
Strocchi, Marina, Karli Gillette, Aurel Neic, et al.. (2022). Comparison between conduction system pacing and cardiac resynchronization therapy in right bundle branch block patients. Frontiers in Physiology. 13. 1011566–1011566. 9 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
13.
Plank, Gernot, Axel Loewe, Aurel Neic, et al.. (2021). The openCARP simulation environment for cardiac electrophysiology. Computer Methods and Programs in Biomedicine. 208. 106223–106223. 138 indexed citations
14.
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
15.
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
17.
Costa, Caroline Mendonça, Aurel Neic, Eric Kerfoot, et al.. (2019). Pacing in proximity to scar during cardiac resynchronization therapy increases local dispersion of repolarization and susceptibility to ventricular arrhythmogenesis. Heart Rhythm. 16(10). 1475–1483. 42 indexed citations
18.
Neic, Aurel, Fernando O. Campos, Anton J. Prassl, et al.. (2017). Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model. Journal of Computational Physics. 346. 191–211. 121 indexed citations
19.
Augustin, Christoph M., Aurel Neic, Manfred Liebmann, et al.. (2015). Anatomically accurate high resolution modeling of human whole heart electromechanics: A strongly scalable algebraic multigrid solver method for nonlinear deformation. Journal of Computational Physics. 305. 622–646. 108 indexed citations
20.
Crozier, Andrew, Christoph M. Augustin, Aurel Neic, et al.. (2015). Image-Based Personalization of Cardiac Anatomy for Coupled Electromechanical Modeling. Annals of Biomedical Engineering. 44(1). 58–70. 50 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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