Thomas Grandits

472 total citations
16 papers, 287 citations indexed

About

Thomas Grandits is a scholar working on Cardiology and Cardiovascular Medicine, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Thomas Grandits has authored 16 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 4 papers in Electrical and Electronic Engineering and 3 papers in Biomedical Engineering. Recurrent topics in Thomas Grandits's work include Cardiac electrophysiology and arrhythmias (10 papers), ECG Monitoring and Analysis (5 papers) and Analog and Mixed-Signal Circuit Design (3 papers). Thomas Grandits is often cited by papers focused on Cardiac electrophysiology and arrhythmias (10 papers), ECG Monitoring and Analysis (5 papers) and Analog and Mixed-Signal Circuit Design (3 papers). Thomas Grandits collaborates with scholars based in Austria, Switzerland and France. Thomas Grandits's co-authors include Gernot Plank, Thomas Pock, Simone Pezzuto, Karli Gillette, Aurel Neic, Edward J. Vigmond, Anton J. Prassl, Jason D. Bayer, Christoph M. Augustin and Matthias A. F. Gsell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Thomas Grandits

16 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Grandits Austria 9 172 50 36 30 24 16 287
Sam Coveney United Kingdom 11 188 1.1× 40 0.8× 36 1.0× 5 0.2× 22 0.9× 25 322
Catalina Tobón Colombia 11 244 1.4× 19 0.4× 15 0.4× 3 0.1× 16 0.7× 54 385
Ernest W. Lau United Kingdom 12 379 2.2× 35 0.7× 12 0.3× 2 0.1× 5 0.2× 59 490
Ching‐Hsing Luo Taiwan 7 89 0.5× 22 0.4× 11 0.3× 10 0.3× 10 0.4× 18 268
Ivan Fumagalli Italy 10 188 1.1× 59 1.2× 54 1.5× 5 0.2× 29 1.2× 21 286
Brian Zenger United States 12 331 1.9× 23 0.5× 96 2.7× 4 0.2× 61 395
M. Kania Poland 9 252 1.5× 64 1.3× 47 1.3× 2 0.1× 2 0.1× 31 303
Dani Kiyasseh United States 8 68 0.4× 88 1.8× 76 2.1× 4 0.1× 1 0.0× 11 327
Jake Bergquist United States 9 211 1.2× 26 0.5× 58 1.6× 6 0.3× 53 267
Yong‐Yeon Jo South Korea 10 118 0.7× 14 0.3× 27 0.8× 2 0.1× 10 0.4× 32 244

Countries citing papers authored by Thomas Grandits

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Grandits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Grandits

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Grandits. A scholar is included among the top collaborators of Thomas Grandits 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 Thomas Grandits. Thomas Grandits is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
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
2.
Grandits, Thomas, et al.. (2023). Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach. IEEE Transactions on Biomedical Engineering. 71(4). 1281–1288. 9 indexed citations
3.
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
4.
Grandits, Thomas, Christoph M. Augustin, Gundolf Haase, et al.. (2023). Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies. eLife. 12. 4 indexed citations
5.
Gillette, Karli, Matthias A. F. Gsell, Anton J. Prassl, et al.. (2023). A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations
6.
Grandits, Thomas, et al.. (2022). Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps. Engineering With Computers. 38(5). 3957–3973. 1 indexed citations
7.
Grandits, Thomas, et al.. (2022). Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps. Institutional Research Information System (Università degli Studi di Trento). 28 indexed citations
8.
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
9.
Grandits, Thomas, Simone Pezzuto, & Gernot Plank. (2022). Smoothness and continuity of cost functionals for ECG mismatch computation. Institutional Research Information System (Università degli Studi di Trento). 2 indexed citations
10.
Grandits, Thomas, Simone Pezzuto, Francisco Sahli Costabal, et al.. (2021). Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks. Institutional Research Information System (Università degli Studi di Trento). 16 indexed citations
11.
Gillette, Karli, Matthias A. F. Gsell, Anton J. Prassl, et al.. (2021). A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs. Medical Image Analysis. 71. 102080–102080. 125 indexed citations
12.
Grandits, Thomas. (2021). A Fast Iterative Method Python package. The Journal of Open Source Software. 6(66). 3641–3641. 6 indexed citations
13.
Grandits, Thomas, et al.. (2021). GEASI: Geodesic‐based earliest activation sites identification in cardiac models. International Journal for Numerical Methods in Biomedical Engineering. 37(8). e3505–e3505. 10 indexed citations
14.
Grandits, Thomas, Karli Gillette, Aurel Neic, et al.. (2020). An inverse Eikonal method for identifying ventricular activation sequences from epicardial activation maps. Journal of Computational Physics. 419. 109700–109700. 14 indexed citations
15.
Grandits, Thomas, Ali Gharaviri, Ulrich Schotten, et al.. (2020). Automatic reconstruction of the left atrium activation from sparse intracardiac contact recordings by inverse estimate of fibre structure and anisotropic conduction in a patient-specific model. EP Europace. 23(Supplement_1). i63–i70. 13 indexed citations
16.
Zhang, Chen, Thomas Grandits, Karin Pukk Härenstam, Jannicke Baalsrud Hauge, & Sebastiaan Meijer. (2018). A systematic literature review of simulation models for non-technical skill training in healthcare logistics. SHILAP Revista de lepidopterología. 3(1). 15–15. 31 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sam Coveney Breakdown of academic impact, for papers by Catalina Tobón Breakdown of academic impact, for papers by Ernest W. Lau Breakdown of academic impact, for papers by Ching‐Hsing Luo Breakdown of academic impact, for papers by Ivan Fumagalli Breakdown of academic impact, for papers by Brian Zenger Breakdown of academic impact, for papers by M. Kania Breakdown of academic impact, for papers by Dani Kiyasseh Breakdown of academic impact, for papers by Jake Bergquist Breakdown of academic impact, for papers by Yong‐Yeon Jo
Rankless by CCL
2026