N. Virag
- Cardiology and Cardiovascular Medicine top 5%
- Signal Processing top 1%
- Computational Mechanics top 5%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Co-authors
- Lukas KappenbergerVincent JacquemetJean-Marc VésinLam DangOlivier BlancCraig S. HenriquezSteeve ZozorRolf Vetter
- Topics
- Cardiac electrophysiology and arrhythmias (31 papers)Atrial Fibrillation Management and Outcomes (20 papers)Cardiac Arrhythmias and Treatments (18 papers)
- Journals
- European Heart JournalIEEE Transactions on Biomedical EngineeringBritish journal of surgery
- Partner nations
- SwitzerlandIrelandUnited States
In The Last Decade
N. Virag
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 68
- Cardiology and Cardiovascular Medicine 635
- Signal Processing 459
- Computational Mechanics 352
- Cognitive Neuroscience 143
- Artificial Intelligence 100
Countries citing papers authored by N. Virag
This map shows the geographic impact of N. Virag'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 N. Virag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Virag more than expected).
Fields of papers citing papers by N. Virag
This network shows the impact of papers produced by N. Virag. 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 N. Virag. The network helps show where N. Virag may publish in the future.
Co-authorship network of co-authors of N. Virag
This figure shows the co-authorship network connecting the top 25 collaborators of N. Virag. A scholar is included among the top collaborators of N. Virag 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 N. Virag. N. Virag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 17 | |
| 12 | 74 | |
| 13 | 47 | |
| 14 | 17 | |
| 15 | 37 | |
| 16 | 101 | |
| 17 | Analysis of Electrogram Morphology to Detect Gross Structural Remodeling During Chronic AF: A Model Study | 1 |
| 18 | 28 | |
| 19 | 25 | |
| 20 | 20 |
About N. Virag
N. Virag is a scholar working on Cardiology and Cardiovascular Medicine, Medical Laboratory Technology and Signal Processing, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (31 papers), Atrial Fibrillation Management and Outcomes (20 papers) and Cardiac Arrhythmias and Treatments (18 papers). The work is most often cited by research in Signal Processing (459 citations), Cardiology and Cardiovascular Medicine (635 citations) and Computational Mechanics (352 citations). N. Virag has collaborated with scholars based in Switzerland, Ireland and United States. Frequent co-authors include Lukas Kappenberger, Vincent Jacquemet, Jean-Marc Vésin, Lam Dang, Olivier Blanc, Craig S. Henriquez, Steeve Zozor, Rolf Vetter, Étienne Pruvot and Z. Ihara. Their work appears in journals such as European Heart Journal, IEEE Transactions on Biomedical Engineering and British journal of surgery.
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.