Pras Pathmanathan

50 papers receiving 2.3k citations

Peers

Pras Pathmanathan
Comparison fields: 5 of 141
  • Cardiology and Cardiovascular Medicine 1.1k
  • Modeling and Simulation 199
  • Statistics, Probability and Uncertainty 162
  • Cell Biology 225
  • Health Informatics 19
Replace Alfonso Bueno‐Orovio with:
Alfonso Bueno‐Orovio United Kingdom
Néjib Zemzemi France
Steven Niederer United Kingdom
Joe Pitt‐Francis United Kingdom
Jack Lee United Kingdom
James Nichols United States
Alan Garny United Kingdom
Jonathan Whiteley United Kingdom
Joakim Sundnes Norway
David Nickerson New Zealand
Pras Pathmanathan relative to Alfonso Bueno‐Orovio United Kingdom Alfonso Bueno‐Orovio's profile →
Citations per field
00.5×6.6×
Alfonso Bueno‐Orovio · 1×
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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013308
2 2009190
3 2018117
4 2018113
5 2016111
6 201599
7 201095
8 201288
9 200981
10 202076
11 201969
12 201067
13 200860
14 201758
15 202047
16 201847
17 201146
18 201545
19 201344
20 200944

About Pras Pathmanathan

Pras Pathmanathan is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering and Surgery, having authored 52 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (33 papers), Cardiovascular Function and Risk Factors (13 papers), ECG Monitoring and Analysis (8 papers), Elasticity and Material Modeling (7 papers), Ion channel regulation and function (6 papers), Hemodynamic Monitoring and Therapy (4 papers), Neuroscience and Neural Engineering (4 papers) and Statistical Methods in Clinical Trials (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Modeling and Simulation (199 citations), Statistics, Probability and Uncertainty (162 citations), Cell Biology (225 citations) and Health Informatics (19 citations). Pras Pathmanathan has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Richard A. Gray, Gary R. Mirams, David J. Gavaghan, Joe Pitt‐Francis, Miguel O. Bernabéu, Jonathan Cooper, Jonathan Whiteley, James M. Osborne, Tina Morrison and Alexander G. Fletcher. Their work appears in journals such as Frontiers in Physiology, PLoS Computational Biology, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, International Journal for Numerical Methods in Biomedical Engineering and Progress in Biophysics and Molecular Biology.

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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