Pras Pathmanathan

59 papers receiving 3.6k citations

Pras Pathmanathan's Hit Papers

The ‘Digital Twin’ to enable the vision of precision cardiology 2020 · 620 citations
6200+4+8Years since publication200400600

Peers

Pras Pathmanathan
Comparison fields: 5 of 144
  • Health Informatics 251
  • Modeling and Simulation 389
  • Cardiology and Cardiovascular Medicine 1.4k
  • Cell Biology 199
  • Biomedical Engineering 509
Replace Blanca Rodríguez with:
Blanca Rodríguez United Kingdom
Alfonso Bueno‐Orovio United Kingdom
Miguel O. Bernabéu United Kingdom
Maxime Sermesant B France
David Rodney Hose United Kingdom
Vicente Grau United Kingdom
Steven Niederer United Kingdom
Irene E. Vignon-Clementel France
Natalia A. Trayanova United States
David Nordsletten United Kingdom
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Citations per year

Countries citing papers authored by Pras Pathmanathan

Since Specialization
Citations

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

Fields of papers citing papers by Pras Pathmanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pras Pathmanathan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pras Pathmanathan Line = papers co-authored together Pras Pathmanathan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The ‘Digital Twin’ to enable the vision of precision cardiology
Hit paper breakdown →
2020620
2
Chaste: An Open Source C++ Library for Computational Physiology and Biology
Hit paper breakdown →
2013334
3 2011235
4 2009191
5 2018132
6 2009131
7 2018122
8 2016121
9 2015104
10 2010102
11 201291
12 200982
13 202078
14 200873
15 201973
16 201067
17 202064
18 200862
19 201758
20 201149

About Pras Pathmanathan

Pras Pathmanathan is a scholar working on Cardiology and Cardiovascular Medicine, Modeling and Simulation, Health Informatics, Computational Theory and Mathematics and Health Information Management, having authored 62 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (30 papers), Elasticity and Material Modeling (10 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Artificial Intelligence in Healthcare and Education (5 papers), Mathematical Biology Tumor Growth (5 papers), Technology and Human Factors in Education and Health (4 papers), Simulation-Based Education in Healthcare (4 papers) and Modeling and Simulation Systems (4 papers). The work is most often cited by research in Health Informatics (251 citations), Modeling and Simulation (389 citations), Cardiology and Cardiovascular Medicine (1.4k citations), Cell Biology (199 citations) and Biomedical Engineering (509 citations). Pras Pathmanathan has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Richard A. Gray, David J. Gavaghan, Gary R. Mirams, Jonathan Whiteley, Joe Pitt‐Francis, Miguel O. Bernabéu, Jonathan Cooper, James M. Osborne, Tina M. Morrison and Alexander George Fletcher. Their work appears in journals such as Frontiers in Physiology, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, PLoS Computational Biology, International Journal for Numerical Methods in Biomedical Engineering and IEEE Transactions on Biomedical Engineering.

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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