J. Bragard

1.4k total citations
69 papers, 1.1k citations indexed

About

J. Bragard is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, J. Bragard has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 24 papers in Statistical and Nonlinear Physics and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in J. Bragard's work include Nonlinear Dynamics and Pattern Formation (24 papers), Chaos control and synchronization (19 papers) and Cardiac electrophysiology and arrhythmias (16 papers). J. Bragard is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (24 papers), Chaos control and synchronization (19 papers) and Cardiac electrophysiology and arrhythmias (16 papers). J. Bragard collaborates with scholars based in Spain, Chile and Italy. J. Bragard's co-authors include Stefano Boccaletti, D. Laroze, H. Mancini, Mathis Plapp, Alain Karma, F. T. Arecchi, J. Martínez-Mardones, Manuel G. Velárde, Harald Pleiner and G. Lebon and has published in prestigious journals such as Physical Review Letters, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

J. Bragard

68 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Bragard Spain 18 410 346 206 184 153 69 1.1k
Markus Bär Germany 16 236 0.6× 328 0.9× 202 1.0× 114 0.6× 404 2.6× 37 1.3k
Marcin Kostur Poland 23 315 0.8× 1.0k 3.0× 69 0.3× 177 1.0× 570 3.7× 48 1.9k
Blas Echebarria Spain 18 245 0.6× 176 0.5× 815 4.0× 168 0.9× 39 0.3× 55 1.6k
Pik‐Yin Lai Taiwan 16 76 0.2× 276 0.8× 112 0.5× 108 0.6× 65 0.4× 81 734
Mark A. Peletier Netherlands 22 134 0.3× 259 0.7× 421 2.0× 182 1.0× 314 2.1× 98 1.9k
Gonghuan Du China 15 93 0.2× 163 0.5× 125 0.6× 47 0.3× 433 2.8× 45 699
Tomas Oppelstrup United States 13 49 0.1× 41 0.1× 823 4.0× 78 0.4× 115 0.8× 37 1.3k
Thomas Guérin France 16 54 0.1× 282 0.8× 82 0.4× 20 0.1× 210 1.4× 46 977
J. Rousselet Canada 10 136 0.3× 397 1.1× 29 0.1× 167 0.9× 328 2.1× 20 956
J.B. Roldán Spain 32 44 0.1× 145 0.4× 496 2.4× 28 0.2× 243 1.6× 212 3.9k

Countries citing papers authored by J. Bragard

Since Specialization
Citations

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

Fields of papers citing papers by J. Bragard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Bragard

This figure shows the co-authorship network connecting the top 25 collaborators of J. Bragard. A scholar is included among the top collaborators of J. Bragard 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 J. Bragard. J. Bragard 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.
Alonso, Sergio, Enrique Álvarez-Lacalle, J. Bragard, & Blas Echebarria. (2025). Biophysical Modeling of Cardiac Cells: From Ion Channels to Tissue. QRU Quaderns de Recerca en Urbanisme. 5(1). 5–5. 2 indexed citations
2.
Pérez, Laura M., Liliana Pedraja-Rejas, Ruber Hernández-García, et al.. (2025). Characterization of quasi-periodic dynamics of a magnetic nanoparticle. Communications in Nonlinear Science and Numerical Simulation. 149. 108942–108942. 1 indexed citations
3.
Pérez, Laura M., et al.. (2024). Stable semivortex gap solitons in a spin–orbit-coupled Fermi gas. Chaos Solitons & Fractals. 179. 114456–114456. 1 indexed citations
4.
Pérez, Laura M., et al.. (2024). Characterization of Faraday patterns and spatiotemporal chaos in parametrically driven dissipative systems. Chaos Solitons & Fractals. 186. 115244–115244. 2 indexed citations
5.
Hernández‐Verdejo, José Luis, et al.. (2023). Bleb geometry and morphology after Preserflo Microshunt surgery: Risk factors for surgical failure. PLoS ONE. 18(6). e0286884–e0286884. 8 indexed citations
6.
Parra‐Guillén, Zinnia P., et al.. (2023). Mechanistic characterization of oscillatory patterns in unperturbed tumor growth dynamics: The interplay between cancer cells and components of tumor microenvironment. PLoS Computational Biology. 19(10). e1011507–e1011507. 1 indexed citations
7.
Bragard, J., et al.. (2021). Study of type-III intermittency in the Landau–Lifshitz-Gilbert equation. Physica Scripta. 96(12). 124045–124045. 5 indexed citations
8.
Bragard, J., et al.. (2020). Periodicity characterization of the nonlinear magnetization dynamics. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(9). 93112–93112. 20 indexed citations
9.
Bragard, J., Óscar Cámara, Blas Echebarria, et al.. (2020). Modelización computacional cardiaca. Revista Española de Cardiología. 74(1). 65–71. 7 indexed citations
10.
Bragard, J., Óscar Cámara, Blas Echebarria, et al.. (2020). Cardiac computational modelling. Revista Española de Cardiología (English Edition). 74(1). 65–71. 3 indexed citations
11.
Baghramyan, H.M., M.G. Barseghyan, A.A. Kirakosyan, et al.. (2018). Modeling of anisotropic properties of double quantum rings by the terahertz laser field. Scientific Reports. 8(1). 6145–6145. 41 indexed citations
12.
Laroze, D., et al.. (2015). Effect of anisotropies on the magnetization dynamics. Networks and Heterogeneous Media. 10(1). 209–221. 11 indexed citations
13.
Bragard, J., et al.. (2013). Validation of a computational model of cardiac defibrillation. Computing in Cardiology. 851–854. 4 indexed citations
14.
Palacios, Carmen, et al.. (2013). Aging of ECG characteristics over a five year period. Computing in Cardiology Conference. 1031–1034. 1 indexed citations
15.
Bragard, J., et al.. (2011). Chaotic dynamics of a magnetic nanoparticle. Physical Review E. 84(3). 37202–37202. 38 indexed citations
16.
Cantalapiedra, Inma Rodríguez, Angelina Peñaranda, Blas Echebarria, & J. Bragard. (2010). Phase-2 reentry in cardiac tissue: Role of the slow calcium pulse. Physical Review E. 82(1). 11907–11907. 18 indexed citations
17.
Bragard, J., Ernest Montbrió, Carolina Mendoza, Stefano Boccaletti, & Bernd Blasius. (2005). Defect-enhanced anomaly in frequency synchronization of asymmetrically coupled spatially extended systems. Physical Review E. 71(2). 25201–25201. 6 indexed citations
18.
Boccaletti, Stefano, et al.. (2004). Frequency entrainment of nonautonomous chaotic oscillators. Physical Review E. 69(1). 16208–16208. 9 indexed citations
19.
Dauby, Pierre, et al.. (2001). Amplitude equations for Rayleigh-Bénard convective rolls far from threshold. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(6). 66301–66301. 8 indexed citations
20.
Boccaletti, Stefano, J. Bragard, & F. T. Arecchi. (1999). Controlling and synchronizing space time chaos. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 59(6). 6574–6578. 46 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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