N. Virag

1.6k total citations
48 papers, 1.2k citations indexed

About

N. Virag is a scholar working on Cardiology and Cardiovascular Medicine, Signal Processing and Surgery. According to data from OpenAlex, N. Virag has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cardiology and Cardiovascular Medicine, 6 papers in Signal Processing and 4 papers in Surgery. Recurrent topics in N. Virag's work include Cardiac electrophysiology and arrhythmias (31 papers), Atrial Fibrillation Management and Outcomes (20 papers) and Cardiac Arrhythmias and Treatments (18 papers). N. Virag is often cited by papers focused on Cardiac electrophysiology and arrhythmias (31 papers), Atrial Fibrillation Management and Outcomes (20 papers) and Cardiac Arrhythmias and Treatments (18 papers). N. Virag collaborates with scholars based in Switzerland, Ireland and United States. N. Virag's 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 and has published in prestigious journals such as European Heart Journal, IEEE Transactions on Biomedical Engineering and British journal of surgery.

In The Last Decade

N. Virag

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Virag Switzerland 17 635 459 352 143 100 48 1.2k
Juan Guerrero Spain 19 442 0.7× 129 0.3× 51 0.1× 256 1.8× 120 1.2× 63 905
Christian Jutten France 8 387 0.6× 348 0.8× 110 0.3× 666 4.7× 83 0.8× 10 1.1k
Cristhian Potes United States 9 109 0.2× 103 0.2× 96 0.3× 162 1.1× 49 0.5× 17 536
Omid Sayadi Iran 17 930 1.5× 161 0.4× 26 0.1× 401 2.8× 43 0.4× 28 1.0k
J. P. C. de Weerd Netherlands 14 83 0.1× 220 0.5× 66 0.2× 374 2.6× 70 0.7× 20 697
K. Stadlthanner Germany 9 149 0.2× 100 0.2× 25 0.1× 68 0.5× 38 0.4× 22 386
Edward J. Berbari United States 23 1.3k 2.1× 66 0.1× 24 0.1× 156 1.1× 9 0.1× 80 1.5k
Salvatore Serrano Italy 13 73 0.1× 258 0.6× 41 0.1× 46 0.3× 179 1.8× 55 569
Prem C. Pandey India 13 99 0.2× 323 0.7× 128 0.4× 179 1.3× 113 1.1× 90 545
Saeid Sanei United Kingdom 12 62 0.1× 202 0.4× 76 0.2× 256 1.8× 47 0.5× 28 515

Countries citing papers authored by N. Virag

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Virag, N., et al.. (2018). Predicting vasovagal syncope from heart rate and blood pressure: A prospective study in 140 subjects. Heart Rhythm. 15(9). 1404–1410. 11 indexed citations
2.
Rusu, Alexandru, Vincent Jacquemet, Jean-Marc Vésin, & N. Virag. (2014). Influence of atrial substrate on local capture induced by rapid pacing of atrial fibrillation. EP Europace. 16(5). 766–773. 4 indexed citations
3.
Virag, N., et al.. (2013). Impact of defibrillation testing on predicted ICD shock efficacy: Implications for clinical practice. Heart Rhythm. 10(5). 709–717. 6 indexed citations
4.
Jacquemet, Vincent, et al.. (2012). Estimating the time scale and anatomical location of atrial fibrillation spontaneous termination in a biophysical model. Medical & Biological Engineering & Computing. 50(2). 155–163. 11 indexed citations
5.
Virag, N., et al.. (2011). Impact of Defibrillation Test Protocol and Test Repetition on the Probability of Meeting Implant Criteria. Pacing and Clinical Electrophysiology. 34(11). 1515–1526. 3 indexed citations
6.
Virag, N., et al.. (2010). Estimating the Parameter Distributions of Defibrillation Shock Efficacy Curves in a Large Population. Annals of Biomedical Engineering. 38(4). 1314–1325. 3 indexed citations
7.
Virag, N., et al.. (2010). Optimizing Local Capture of Atrial Fibrillation by Rapid Pacing: Study of the Influence of Tissue Dynamics. Annals of Biomedical Engineering. 38(12). 3664–3673. 11 indexed citations
8.
Bertschi, Mattia, Vincent Schlageter, Jean-Marc Vésin, et al.. (2010). Direct Electrical Stimulation Using a Battery-Operated Device for Induction and Modulation of Colonic Contractions in Pigs. Annals of Biomedical Engineering. 38(7). 2398–2405. 4 indexed citations
9.
Virag, N., et al.. (2009). Spontaneous termination of atrial fibrillation: Study of the effect of atrial geometry in a biophysical model. PubMed. 2009. 4504–4507. 2 indexed citations
10.
11.
Ruchat, Patrick, Lam Dang, Jürg Schlaepfer, et al.. (2007). Use of a biophysical model of atrial fibrillation in the interpretation of the outcome of surgical ablation procedures☆. European Journal of Cardio-Thoracic Surgery. 32(1). 90–95. 17 indexed citations
12.
Haissaguerre, Magalie, Ki‐Taek Lim, Vincent Jacquemet, et al.. (2007). Atrial fibrillatory cycle length: computer simulation and potential clinical importance. EP Europace. 9(Supplement 6). vi64–vi70. 74 indexed citations
13.
Virag, N., et al.. (2007). Prediction of vasovagal syncope from heart rate and blood pressure trend and variability: Experience in 1,155 patients. Heart Rhythm. 4(11). 1375–1382. 47 indexed citations
14.
Ruchat, Patrick, N. Virag, Lam Dang, et al.. (2007). A biophysical model of atrial fibrillation ablation: what can a surgeon learn from a computer model?. EP Europace. 9(Supplement 6). vi71–vi76. 17 indexed citations
15.
Dang, Lam, N. Virag, Z. Ihara, et al.. (2005). Evaluation of Ablation Patterns Using a Biophysical Model of Atrial Fibrillation. Annals of Biomedical Engineering. 33(4). 465–474. 37 indexed citations
16.
Jacquemet, Vincent, N. Virag, Z. Ihara, et al.. (2003). Study of Unipolar Electrogram Morphology in a Computer Model of Atrial Fibrillation. Journal of Cardiovascular Electrophysiology. 14(s10). S172–9. 101 indexed citations
17.
Jacquemet, Vincent, Z. Ihara, Lam Dang, et al.. (2003). Analysis of Electrogram Morphology to Detect Gross Structural Remodeling During Chronic AF: A Model Study. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 24. 1025. 1 indexed citations
18.
Blanc, Olivier, N. Virag, Jean-Marc Vésin, & Lukas Kappenberger. (2001). A computer model of human atria with reasonable computation load and realistic anatomical properties. IEEE Transactions on Biomedical Engineering. 48(11). 1229–1237. 28 indexed citations
19.
Vetter, Rolf, N. Virag, Jean-Marc Vésin, P. Celka, & Urs Scherrer. (2000). Observer of autonomic cardiac outflow based on blind source separation of ECG parameters. IEEE Transactions on Biomedical Engineering. 47(5). 578–582. 25 indexed citations
20.
Virag, N., et al.. (1998). A Computer Model of Cardiac Electrical Activity for the Simulation of Arrhythmias. Pacing and Clinical Electrophysiology. 21(11). 2366–2371. 20 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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