Karli Gillette

924 total citations
46 papers, 571 citations indexed

About

Karli Gillette is a scholar working on Cardiology and Cardiovascular Medicine, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Karli Gillette has authored 46 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cardiology and Cardiovascular Medicine, 6 papers in Neurology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Karli Gillette's work include Cardiac electrophysiology and arrhythmias (36 papers), ECG Monitoring and Analysis (17 papers) and Cardiac pacing and defibrillation studies (15 papers). Karli Gillette is often cited by papers focused on Cardiac electrophysiology and arrhythmias (36 papers), ECG Monitoring and Analysis (17 papers) and Cardiac pacing and defibrillation studies (15 papers). Karli Gillette collaborates with scholars based in Austria, France and United Kingdom. Karli Gillette's co-authors include Gernot Plank, Edward J. Vigmond, Aurel Neic, Anton J. Prassl, Matthias A. F. Gsell, Christoph M. Augustin, Marina Strocchi, Steven Niederer, Martin J. Bishop and Christopher A. Rinaldi and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Journal of Computational Physics.

In The Last Decade

Karli Gillette

42 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karli Gillette Austria 13 462 109 65 41 34 46 571
Marina Strocchi United Kingdom 13 501 1.1× 132 1.2× 64 1.0× 55 1.3× 11 0.3× 56 627
Elias Karabelas Austria 12 428 0.9× 132 1.2× 74 1.1× 11 0.3× 30 0.9× 16 596
Matthias A. F. Gsell Austria 15 590 1.3× 204 1.9× 96 1.5× 16 0.4× 47 1.4× 37 824
Cesare Corrado United Kingdom 16 486 1.1× 52 0.5× 79 1.2× 9 0.2× 5 0.1× 33 590
Robert Blake United States 8 835 1.8× 156 1.4× 155 2.4× 20 0.5× 7 0.2× 19 999
Orod Razeghi United Kingdom 16 573 1.2× 97 0.9× 162 2.5× 24 0.6× 2 0.1× 38 691
Fernando O. Campos Austria 15 518 1.1× 62 0.6× 63 1.0× 12 0.3× 2 0.1× 42 592
Jatin Relan France 12 685 1.5× 71 0.7× 184 2.8× 22 0.5× 2 0.1× 29 775
Richard Houben Netherlands 16 1.0k 2.2× 104 1.0× 34 0.5× 11 0.3× 3 0.1× 37 1.1k
Rubén Doste United Kingdom 9 265 0.6× 66 0.6× 39 0.6× 3 0.1× 10 0.3× 21 353

Countries citing papers authored by Karli Gillette

Since Specialization
Citations

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

Fields of papers citing papers by Karli Gillette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karli Gillette

This figure shows the co-authorship network connecting the top 25 collaborators of Karli Gillette. A scholar is included among the top collaborators of Karli Gillette 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 Karli Gillette. Karli Gillette 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.
Strocchi, Marina, Matthew Shun‐Shin, Karli Gillette, et al.. (2025). An in silico guide for ventriculo-ventricular delay programming for left bundle branch-optimized cardiac resynchronization therapy. EP Europace. 27(5). 1 indexed citations
2.
Tanner, Laura I., Jake Bergquist, Wilson Good, et al.. (2025). Uncertainty quantification via polynomial chaos expansion of myocardial fibre orientation and cardiac activation patterns. The Journal of Physiology.
3.
Gsell, Matthias A. F., et al.. (2025). Quantifying anatomically-based in-silico electrocardiogram variability for cardiac digital twins. Computers in Biology and Medicine. 189. 109930–109930.
4.
Grandits, Thomas, Karli Gillette, Gernot Plank, & Simone Pezzuto. (2025). Accurate and efficient cardiac digital twin from surface ECGs: Insights into identifiability of ventricular conduction system. Medical Image Analysis. 105. 103641–103641. 2 indexed citations
5.
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
6.
Gillette, Karli, et al.. (2024). Application of Order and Sample Selection in Uncertainty Quantification of Cardiac Models. Computing in cardiology. 51.
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
8.
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
9.
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
10.
Gillette, Karli, et al.. (2023). Capturing the Influence of Conduction Velocity on Epicardial Activation Patterns Using Uncertainty Quantification. Computing in cardiology. 50. 1 indexed citations
11.
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
12.
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
13.
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
14.
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
15.
Good, Wilson, Brian Zenger, Jake Bergquist, et al.. (2021). Combining endocardial mapping and electrocardiographic imaging (ECGI) for improving PVC localization: A feasibility study. Journal of Electrocardiology. 69. 51–54. 4 indexed citations
16.
Bergquist, Jake, Brian Zenger, Karli Gillette, et al.. (2021). The Role of Myocardial Fiber Direction in Epicardial Activation Patterns via Uncertainty Quantification. PubMed. 48. 1–4. 4 indexed citations
17.
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
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.
20.
Strocchi, Marina, Cristóbal Rodero, Karli Gillette, et al.. (2020). In-silico pace-mapping using a detailed whole torso model and implanted electronic device electrograms for more efficient ablation planning. Computers in Biology and Medicine. 125. 104005–104005. 11 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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