G. Merlo

1.2k total citations
53 papers, 735 citations indexed

About

G. Merlo is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Aerospace Engineering. According to data from OpenAlex, G. Merlo has authored 53 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Nuclear and High Energy Physics, 42 papers in Astronomy and Astrophysics and 14 papers in Aerospace Engineering. Recurrent topics in G. Merlo's work include Magnetic confinement fusion research (49 papers), Ionosphere and magnetosphere dynamics (42 papers) and Laser-Plasma Interactions and Diagnostics (18 papers). G. Merlo is often cited by papers focused on Magnetic confinement fusion research (49 papers), Ionosphere and magnetosphere dynamics (42 papers) and Laser-Plasma Interactions and Diagnostics (18 papers). G. Merlo collaborates with scholars based in United States, Germany and Switzerland. G. Merlo's co-authors include F. Jenko, S. Brunner, S. Coda, D. R. Hatch, J. Dominski, L. Ṽillard, O. Sauter, T. Görler, D. Told and A. Bañón Navarro and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Computer Physics Communications.

In The Last Decade

G. Merlo

49 papers receiving 702 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Merlo United States 18 676 521 163 139 74 53 735
G. Falchetto France 16 650 1.0× 476 0.9× 101 0.6× 183 1.3× 57 0.8× 38 705
L.W. Yan China 15 689 1.0× 450 0.9× 107 0.7× 191 1.4× 84 1.1× 51 744
G. G. Plunk Germany 17 728 1.1× 558 1.1× 117 0.7× 105 0.8× 71 1.0× 58 806
D. Löpez‐Bruna Spain 16 672 1.0× 493 0.9× 96 0.6× 135 1.0× 111 1.5× 72 752
N. Dubuit France 12 525 0.8× 349 0.7× 88 0.5× 204 1.5× 63 0.9× 23 614
Eero Hirvijoki Finland 13 514 0.8× 294 0.6× 173 1.1× 153 1.1× 98 1.3× 44 613
R.M. Churchill United States 19 697 1.0× 393 0.8× 149 0.9× 261 1.9× 168 2.3× 52 764
C. Fenzi France 16 787 1.2× 515 1.0× 116 0.7× 216 1.6× 109 1.5× 35 838
R. Kleiber Germany 18 992 1.5× 770 1.5× 283 1.7× 141 1.0× 109 1.5× 85 1.1k
D. Zarzoso France 16 646 1.0× 493 0.9× 117 0.7× 76 0.5× 52 0.7× 51 688

Countries citing papers authored by G. Merlo

Since Specialization
Citations

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

Fields of papers citing papers by G. Merlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Merlo

This figure shows the co-authorship network connecting the top 25 collaborators of G. Merlo. A scholar is included among the top collaborators of G. Merlo 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 G. Merlo. G. Merlo 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.
Stegmeir, A., et al.. (2025). Simulations of edge and SOL turbulence in diverted negative and positive triangularity plasmas. Nuclear Fusion. 65(10). 106004–106004. 1 indexed citations
2.
Wilms, F., A. Bañón Navarro, G. Merlo, et al.. (2025). Global gyrokinetic simulations of kinetic-ballooning-mode turbulence in Wendelstein 7-X. Physics of Plasmas. 32(7).
3.
Siena, A. Di, J. García, G. Merlo, et al.. (2025). Understanding turbulence suppression in JET D–T plasma with highly energetic fast ions via global gyrokinetic GENE simulations. Nuclear Fusion. 65(8). 86019–86019.
4.
Wilms, F., et al.. (2024). Implementation of magnetic compressional effects at arbitrary wavelength in the global version of GENE. Computer Physics Communications. 307. 109410–109410. 3 indexed citations
5.
Mariani, A., P. Mantica, G. Merlo, et al.. (2024). First-principle based predictions of the effects of negative triangularity on DTT scenarios. Nuclear Fusion. 64(4). 46018–46018. 5 indexed citations
6.
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
7.
Görler, T., et al.. (2024). Implementation of a long-wavelength model for parallel magnetic fluctuations in the global GENE code. Plasma Physics and Controlled Fusion. 67(1). 15028–15028. 2 indexed citations
8.
Navarro, A. Bañón, A. Di Siena, J. L. Velasco, et al.. (2023). First-principles based plasma profile predictions for optimized stellarators. Nuclear Fusion. 63(5). 54003–54003. 17 indexed citations
9.
Mariani, A., S. Brunner, G. Merlo, & O. Sauter. (2023). Global ‘zero particle flux-driven’ gyrokinetic analysis of the density profile for a TCV plasma. Plasma Physics and Controlled Fusion. 65(5). 54005–54005. 1 indexed citations
10.
Hatch, D. R., Craig Michoski, Dongyang Kuang, et al.. (2022). Reduced models for ETG transport in the tokamak pedestal. Physics of Plasmas. 29(6). 20 indexed citations
11.
Siena, A. Di, A. Bañón Navarro, T. Luda, et al.. (2022). Global gyrokinetic simulations of ASDEX Upgrade up to the transport timescale with GENE–Tango. Nuclear Fusion. 62(10). 106025–106025. 17 indexed citations
12.
Chen, Haotian, et al.. (2022). Zonal flow excitation in electron-scale tokamak turbulence. Nuclear Fusion. 63(2). 26015–26015. 5 indexed citations
13.
Merlo, G., et al.. (2022). A general framework for quantifying uncertainty at scale. Communications Engineering. 1(1). 43–43. 11 indexed citations
14.
Hatch, D. R., et al.. (2021). Identifying the microtearing modes in the pedestal of DIII-D H-modes using gyrokinetic simulations. Nuclear Fusion. 62(2). 26008–26008. 21 indexed citations
15.
Wilms, F., A. Bañón Navarro, G. Merlo, et al.. (2021). Global electromagnetic turbulence simulations of W7-X-like plasmas with GENE-3D. Journal of Plasma Physics. 87(6). 21 indexed citations
16.
Chellaï, O., S. Alberti, I. Furno, et al.. (2021). Millimeter-wave beam scattering and induced broadening by plasma turbulence in the TCV tokamak. Nuclear Fusion. 61(6). 66011–66011. 12 indexed citations
17.
Merlo, G., Z. Huang, C. Marini, et al.. (2021). Nonlocal effects in negative triangularity TCV plasmas. Plasma Physics and Controlled Fusion. 63(4). 44001–44001. 29 indexed citations
18.
Doerk, H., G. Merlo, T. Görler, et al.. (2020). Multi-species collisions for delta-f gyrokinetic simulations: Implementation and verification with GENE. Computer Physics Communications. 255. 107360–107360. 20 indexed citations
19.
Brunner, S., et al.. (2020). How eigenmode self-interaction affects zonal flows and convergence of tokamak core turbulence with toroidal system size. Journal of Plasma Physics. 86(5). 18 indexed citations
20.
Mariani, A., S. Brunner, G. Merlo, & O. Sauter. (2019). Gyrokinetic analysis of radial dependence and global effects on the zero particle flux condition in a TCV plasma. Plasma Physics and Controlled Fusion. 61(6). 64005–64005. 6 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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