D. Zarzoso

1.5k total citations
51 papers, 688 citations indexed

About

D. Zarzoso is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Materials Chemistry. According to data from OpenAlex, D. Zarzoso has authored 51 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Nuclear and High Energy Physics, 36 papers in Astronomy and Astrophysics and 8 papers in Materials Chemistry. Recurrent topics in D. Zarzoso's work include Magnetic confinement fusion research (47 papers), Ionosphere and magnetosphere dynamics (35 papers) and Laser-Plasma Interactions and Diagnostics (15 papers). D. Zarzoso is often cited by papers focused on Magnetic confinement fusion research (47 papers), Ionosphere and magnetosphere dynamics (35 papers) and Laser-Plasma Interactions and Diagnostics (15 papers). D. Zarzoso collaborates with scholars based in France, Germany and United Kingdom. D. Zarzoso's co-authors include X. Garbet, R. Dümont, Y. Sarazin, V. Grandgirard, G. Dif‐Pradalier, Ph. Ghendrih, Guillaume Latu, E. Poli, Thomas Cartier-Michaud and J. Abiteboul and has published in prestigious journals such as Physical Review Letters, Nature Communications and Computer Physics Communications.

In The Last Decade

D. Zarzoso

48 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Zarzoso France 16 646 493 117 77 76 51 688
T. S. Hahm United States 18 1.0k 1.6× 901 1.8× 110 0.9× 69 0.9× 128 1.7× 56 1.1k
J. Abiteboul France 13 608 0.9× 492 1.0× 70 0.6× 32 0.4× 85 1.1× 25 652
V. S. Tsypin Brazil 14 570 0.9× 599 1.2× 64 0.5× 102 1.3× 83 1.1× 92 715
X. Wang Germany 16 665 1.0× 576 1.2× 91 0.8× 116 1.5× 48 0.6× 41 717
G. G. Plunk Germany 17 728 1.1× 558 1.1× 117 1.0× 19 0.2× 105 1.4× 58 806
D. Löpez‐Bruna Spain 16 672 1.0× 493 1.0× 96 0.8× 47 0.6× 135 1.8× 72 752
G. Plyushchev Switzerland 15 520 0.8× 401 0.8× 145 1.2× 53 0.7× 68 0.9× 21 654
V.V. Mirnov United States 15 453 0.7× 408 0.8× 54 0.5× 92 1.2× 54 0.7× 50 610
A. Bañón Navarro Germany 20 979 1.5× 770 1.6× 143 1.2× 36 0.5× 173 2.3× 72 1.1k
E. Ruskov United States 16 847 1.3× 458 0.9× 206 1.8× 105 1.4× 192 2.5× 42 875

Countries citing papers authored by D. Zarzoso

Since Specialization
Citations

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

Fields of papers citing papers by D. Zarzoso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Zarzoso

This figure shows the co-authorship network connecting the top 25 collaborators of D. Zarzoso. A scholar is included among the top collaborators of D. Zarzoso 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 D. Zarzoso. D. Zarzoso 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.
Zarzoso, D., et al.. (2025). Generative-machine-learning surrogate model of plasma turbulence. Physical review. E. 111(1). L013202–L013202. 2 indexed citations
2.
Betar, H., D. Del Sarto, A. Ghizzo, F. Brochard, & D. Zarzoso. (2024). A numerical study of electron-magnetohydrodynamics tearing modes in parameter ranges of experimental interest. Physics of Plasmas. 31(5). 1 indexed citations
3.
García, J., Y. Kazakov, R. Coelho, et al.. (2024). Stable Deuterium-Tritium plasmas with improved confinement in the presence of energetic-ion instabilities. Nature Communications. 15(1). 7846–7846. 16 indexed citations
4.
5.
Zarzoso, D., et al.. (2024). Segmentation of MHD modes using Fourier transform, wavelets and computer vision algorithms. Plasma Physics and Controlled Fusion. 66(9). 95016–95016. 1 indexed citations
6.
Betar, H., D. Zarzoso, J. Varela, et al.. (2024). Transport and losses of energetic particles in tokamaks in the presence of Alfvén activity using the new full orbit TAPaS code coupled to FAR3d. Nuclear Fusion. 64(12). 126014–126014. 1 indexed citations
7.
Dif‐Pradalier, G., et al.. (2024). Turbulent relaxation patterns in SOL plasma. Plasma Physics and Controlled Fusion. 66(10). 105008–105008. 1 indexed citations
8.
Zarzoso, D., et al.. (2023). Development of a set of synthetic diagnostics for the WEST tokamak to confront 2D transport simulations and experimental data. Journal of Instrumentation. 18(2). C02058–C02058. 1 indexed citations
9.
Varela, J., D. A. Spong, L. García, et al.. (2023). Effect of the neutral beam injector operational regime on the Alfven eigenmode saturation phase in DIII-D plasma. Plasma Physics and Controlled Fusion. 65(12). 125004–125004. 3 indexed citations
10.
Zarzoso, D., et al.. (2022). Transport and losses of fusion-born alpha particles in the presence of tearing modes using the new Toroidal Accelerated Particle Simulator (TAPaS). Plasma Physics and Controlled Fusion. 64(4). 44003–44003. 5 indexed citations
11.
Mazzi, S., J. García, D. Zarzoso, et al.. (2022). Gyrokinetic study of transport suppression in JET plasmas with MeV-ions and toroidal Alfvén eigenmodes. Plasma Physics and Controlled Fusion. 64(11). 114001–114001. 9 indexed citations
12.
Dif‐Pradalier, G., et al.. (2021). Investigation of tokamak turbulent avalanches using wave-kinetic formulation in toroidal geometry. Journal of Plasma Physics. 87(2). 3 indexed citations
13.
Sanchis-Sanchez, L., M. García-Muñoz, E. Viezzer, et al.. (2021). Optimizing beam-ion confinement in ITER by adjusting the toroidal phase of the 3D magnetic fields applied for ELM control. Nuclear Fusion. 61(4). 46006–46006. 18 indexed citations
14.
Zarzoso, D. & D. del-Castillo-Negrete. (2020). Anomalous losses of energetic particles in the presence of an oscillating radial electric field in fusion plasmas. Journal of Plasma Physics. 86(2). 3 indexed citations
15.
Grandgirard, V., X. Garbet, A. Biancalani, et al.. (2019). Linear collisionless dynamics of the GAM with kinetic electrons: Comparison simulations/theory. Physics of Plasmas. 26(12). 122304–122304. 4 indexed citations
16.
Sanchis-Sanchez, L., M. García-Muñoz, A. Snicker, et al.. (2018). Characterisation of the fast-ion edge resonant transport layer induced by 3D perturbative fields in the ASDEX Upgrade tokamak through full orbit simulations. Plasma Physics and Controlled Fusion. 61(1). 14038–14038. 33 indexed citations
17.
Escande, D. F., Didier Bénisti, Yves Elskens, D. Zarzoso, & F. Doveil. (2018). Basic microscopic plasma physics from N-body mechanics. HAL (Le Centre pour la Communication Scientifique Directe). 15 indexed citations
18.
Hornsby, W. A., R. Buchholz, A. G. Peeters, et al.. (2015). The linear tearing instability in three dimensional, toroidal gyro-kinetic simulations. Physics of Plasmas. 22(2). 21 indexed citations
19.
Hornsby, W. A., et al.. (2014). On seed island generation and the non-linear interaction of the tearing mode with electromagnetic gyro-kinetic turbulence. MPG.PuRe (Max Planck Society). 1 indexed citations
20.
Strugarek, Antoine, Y. Sarazin, D. Zarzoso, et al.. (2013). Unraveling Quasiperiodic Relaxations of Transport Barriers with Gyrokinetic Simulations of Tokamak Plasmas. Physical Review Letters. 111(14). 145001–145001. 22 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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