J. García

4.3k total citations
83 papers, 1.1k citations indexed

About

J. García is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Astronomy and Astrophysics. According to data from OpenAlex, J. García has authored 83 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Nuclear and High Energy Physics, 43 papers in Materials Chemistry and 26 papers in Astronomy and Astrophysics. Recurrent topics in J. García's work include Magnetic confinement fusion research (76 papers), Fusion materials and technologies (42 papers) and Ionosphere and magnetosphere dynamics (26 papers). J. García is often cited by papers focused on Magnetic confinement fusion research (76 papers), Fusion materials and technologies (42 papers) and Ionosphere and magnetosphere dynamics (26 papers). J. García collaborates with scholars based in France, United Kingdom and Germany. J. García's co-authors include F. Jenko, G. Giruzzi, T. Görler, G. M. D. Hogeweij, P. Mantica, C. Bourdelle, D. Told, M. J. Pueschel, F. Imbeaux and J. Citrin and has published in prestigious journals such as Physical Review Letters, Nature Communications and Review of Scientific Instruments.

In The Last Decade

J. García

79 papers receiving 996 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. García France 18 992 429 417 325 269 83 1.1k
Hogun Jhang South Korea 14 672 0.7× 357 0.8× 189 0.5× 232 0.7× 173 0.6× 92 731
M. Hoelzl Germany 21 1.1k 1.1× 560 1.3× 425 1.0× 304 0.9× 285 1.1× 107 1.2k
C. Bourdelle France 23 1.4k 1.4× 865 2.0× 590 1.4× 222 0.7× 244 0.9× 40 1.5k
D. Carralero Germany 19 1.0k 1.0× 591 1.4× 447 1.1× 204 0.6× 167 0.6× 67 1.1k
M.G. Bell United States 22 1.3k 1.3× 573 1.3× 609 1.5× 312 1.0× 267 1.0× 57 1.3k
M. A. Ochando Spain 17 753 0.8× 441 1.0× 304 0.7× 145 0.4× 116 0.4× 90 891
P. Xanthopoulos Germany 22 1.2k 1.2× 910 2.1× 275 0.7× 141 0.4× 207 0.8× 70 1.3k
S. Ding China 17 1.0k 1.0× 417 1.0× 500 1.2× 347 1.1× 346 1.3× 85 1.1k
Eero Hirvijoki Finland 13 514 0.5× 294 0.7× 153 0.4× 98 0.3× 173 0.6× 44 613
S. P. Smith United States 20 1.1k 1.1× 519 1.2× 404 1.0× 255 0.8× 314 1.2× 67 1.1k

Countries citing papers authored by J. García

Since Specialization
Citations

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

Fields of papers citing papers by J. García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of J. García. A scholar is included among the top collaborators of J. García 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. García. J. García 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.
Bonofiglo, P. J., V. Kiptily, J. F. Rivero-Rodríguez, et al.. (2024). Alpha particle loss measurements and analysis in JET DT plasmas. Nuclear Fusion. 64(9). 96038–96038. 3 indexed citations
2.
DiCorato, M., M. Muraglia, Y. Camenen, et al.. (2024). Turbulent transport mechanisms and their impact on the pedestal top of JET plasmas with small-ELMs. Plasma Physics and Controlled Fusion. 66(12). 125002–125002. 1 indexed citations
3.
Järleblad, H., L. Stagner, J. Eriksson, et al.. (2024). Fast-ion orbit origin of neutron emission spectroscopy measurements in the JET DT campaign. Nuclear Fusion. 64(2). 26015–26015. 7 indexed citations
4.
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
5.
Mazzi, S., G. Giruzzi, Y. Camenen, et al.. (2024). Effects of Kinetic Ballooning Modes on the electron distribution function in the core of high-performance tokamak plasmas. Nuclear Fusion. 65(1). 16049–16049.
6.
Coelho, R., P. Vincenzi, M. Vallar, et al.. (2023). Predictive modeling of Alfvén eigenmode stability in inductive scenarios in JT-60SA. Frontiers in Physics. 11. 1 indexed citations
7.
Oliver, James, S. E. Sharapov, Ž. Štancar, et al.. (2023). Toroidal Alfvén eigenmodes observed in low power JET deuterium–tritium plasmas. Nuclear Fusion. 63(11). 112008–112008. 7 indexed citations
8.
Ruiz, Juan Ruiz, F. I. Parra, M. Barnes, et al.. (2022). Interpreting radial correlation Doppler reflectometry using gyrokinetic simulations. Plasma Physics and Controlled Fusion. 64(5). 55019–55019. 13 indexed citations
9.
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
10.
Gallart, D., M. Mantsinen, J. Manyer, et al.. (2022). Prediction of ICRF minority heating schemes for JET D–T experiments. Plasma Physics and Controlled Fusion. 64(12). 125006–125006. 4 indexed citations
11.
Bierwage, A., K. Shinohara, Ye. O. Kazakov, et al.. (2022). Energy-selective confinement of fusion-born alpha particles during internal relaxations in a tokamak plasma. Nature Communications. 13(1). 3941–3941. 16 indexed citations
12.
Staebler, G. M., M. Knölker, P.B. Snyder, et al.. (2021). Advances in prediction of tokamak experiments with theory-based models. Nuclear Fusion. 62(4). 42005–42005. 14 indexed citations
13.
Huynh, P., E. Lerche, D. Van Eester, et al.. (2021). European transport simulator modeling of JET-ILW baseline plasmas: predictive code validation and DTE2 predictions. Nuclear Fusion. 61(9). 96019–96019. 7 indexed citations
14.
Moralès, J., J. García, G. Giruzzi, et al.. (2020). L-mode plasmas analyses and current ramp-up predictions for a JT-60SA hybrid scenario. Plasma Physics and Controlled Fusion. 63(2). 25014–25014. 1 indexed citations
15.
García, J., R. Dümont, J. Moralès, et al.. (2019). First principles and integrated modelling achievements towards trustful fusion power predictions for JET and ITER. Nuclear Fusion. 59(8). 86047–86047. 31 indexed citations
16.
García, J., et al.. (2019). A new mechanism for increasing density peaking in tokamaks: improvement of the inward particle pinch with edge E  ×  B shearing. Plasma Physics and Controlled Fusion. 61(10). 104002–104002. 12 indexed citations
17.
García, J., et al.. (2009). AINA Safety Code, A Review of Loss of Plasma Control Transients in ITER: Sudden Increase in Fuelling Rate, Sudden Increase of Auxiliary Heating. Fusion Science & Technology. 56(1). 31–37. 4 indexed citations
18.
Yamazaki, K., Satoshi Uemura, T. Oishi, et al.. (2009). Burning plasma simulation and environmental assessment of tokamak, spherical tokamak and helical reactors. Nuclear Fusion. 49(5). 55017–55017. 5 indexed citations
19.
García, J., G. Giruzzi, J. F. Artaud, et al.. (2008). Critical Threshold Behavior for Steady-State Internal Transport Barriers in Burning Plasmas. Physical Review Letters. 100(25). 255004–255004. 30 indexed citations
20.
García, J., et al.. (1993). A New Approach on the Modelling of Multibody Systems using Multibond Graphs. 2606–2610. 1 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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