A. Merle

2.3k total citations
51 papers, 589 citations indexed

About

A. Merle is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Aerospace Engineering. According to data from OpenAlex, A. Merle has authored 51 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Nuclear and High Energy Physics, 20 papers in Astronomy and Astrophysics and 17 papers in Aerospace Engineering. Recurrent topics in A. Merle's work include Magnetic confinement fusion research (47 papers), Ionosphere and magnetosphere dynamics (20 papers) and Fusion materials and technologies (14 papers). A. Merle is often cited by papers focused on Magnetic confinement fusion research (47 papers), Ionosphere and magnetosphere dynamics (20 papers) and Fusion materials and technologies (14 papers). A. Merle collaborates with scholars based in Switzerland, Germany and France. A. Merle's co-authors include O. Sauter, S. Yu. Medvedev, S. Coda, F. Felici, B. Labit, X. Garbet, J. Decker, R. Sabot, U. Sheikh and Z. O. Guimarães-Filho and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Physics of Plasmas.

In The Last Decade

A. Merle

47 papers receiving 560 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Merle Switzerland 15 544 260 190 172 125 51 589
Hogun Jhang South Korea 14 672 1.2× 357 1.4× 189 1.0× 173 1.0× 232 1.9× 92 731
A. Manini Germany 12 607 1.1× 300 1.2× 200 1.1× 187 1.1× 158 1.3× 26 629
R.S. Wilcox United States 12 584 1.1× 340 1.3× 157 0.8× 138 0.8× 138 1.1× 48 606
Eero Hirvijoki Finland 13 514 0.9× 294 1.1× 153 0.8× 173 1.0× 98 0.8× 44 613
F. Auriemma Italy 14 416 0.8× 217 0.8× 114 0.6× 88 0.5× 117 0.9× 44 444
A. Boboc United Kingdom 13 375 0.7× 188 0.7× 125 0.7× 90 0.5× 78 0.6× 53 487
K. Rahbarnia Germany 14 485 0.9× 332 1.3× 139 0.7× 98 0.6× 70 0.6× 60 618
W.H. Ko South Korea 13 796 1.5× 477 1.8× 225 1.2× 191 1.1× 243 1.9× 52 844
T. Hellsten Sweden 9 602 1.1× 313 1.2× 149 0.8× 153 0.9× 120 1.0× 23 631
D. J. Battaglia United States 16 705 1.3× 359 1.4× 253 1.3× 194 1.1× 203 1.6× 42 741

Countries citing papers authored by A. Merle

Since Specialization
Citations

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

Fields of papers citing papers by A. Merle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Merle

This figure shows the co-authorship network connecting the top 25 collaborators of A. Merle. A scholar is included among the top collaborators of A. Merle 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 A. Merle. A. Merle 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.
Pau, A., Cristina Rea, O. Sauter, et al.. (2025). Learning plasma dynamics and robust rampdown trajectories with predict-first experiments at TCV. Nature Communications. 16(1). 8877–8877.
2.
Tommasi, G. De, et al.. (2025). Simulation validation of an Extremum Seeking-based Vertical Stabilization system for TCV. Fusion Engineering and Design. 219. 115198–115198. 1 indexed citations
3.
Pesamosca, Federico, et al.. (2024). An interpretable isoflux-based observer for plasma shape control errors in tokamaks. Fusion Engineering and Design. 207. 114618–114618.
4.
Felici, F., M. Mattei, A. Merle, et al.. (2024). Automated shot-to-shot optimization of the plasma start-up scenario in the TCV tokamak. Nuclear Fusion. 64(9). 96032–96032. 3 indexed citations
5.
Labit, B., O. Sauter, T. Pütterich, et al.. (2024). Progress in the development of the ITER baseline scenario in TCV. Plasma Physics and Controlled Fusion. 66(2). 25016–25016. 5 indexed citations
6.
Mele, Adriano, D. Carnevale, S. Coda, et al.. (2024). Dynamic steady-state coil current allocation for plasma shape control: a study on the TCV tokamak. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 278–283. 2 indexed citations
7.
Mele, Adriano, S. Coda, F. Felici, et al.. (2024). Design of a novel plasma shape controller for the TCV tokamak. 284–289. 1 indexed citations
8.
Mele, Adriano, R. Ambrosino, F. Carpanese, et al.. (2021). Preliminary evaluation of the LIUQE code reconstruction performance for the DTT device. Fusion Engineering and Design. 167. 112326–112326. 2 indexed citations
9.
Vallar, M., M. Podestá, M. Baquero-Ruiz, et al.. (2021). Modelling of sawtooth-induced fast ion transport in positive and negative triangularity in TCV. Nuclear Fusion. 4 indexed citations
10.
Pütterich, T., V. Bobkov, M. Dunne, et al.. (2020). The ITER Baseline Scenario at ASDEX Upgrade and TCV. Chalmers Research (Chalmers University of Technology).
11.
Viezzer, E., J. Hobirk, E.R. Solano, et al.. (2020). Progress towards a quiescent, high confinement regime for the all-metal ASDEX Upgrade tokamak. idUS (Universidad de Sevilla). 2 indexed citations
12.
Carpanese, F., F. Felici, C. Galperti, et al.. (2020). First demonstration of real-time kinetic equilibrium reconstruction on TCV by coupling LIUQE and RAPTOR. Nuclear Fusion. 60(6). 66020–66020. 22 indexed citations
13.
Kong, M., O. Sauter, F. Felici, et al.. (2019). On the triggerless onset of 2/1 neoclassical tearing modes in TCV. Nuclear Fusion. 60(2). 26002–26002. 2 indexed citations
14.
Graves, J. P., D. Brunetti, W.A. Cooper, et al.. (2019). Current and pressure gradient triggering and nonlinear saturation of low- n edge harmonic oscillations in tokamaks. Plasma Physics and Controlled Fusion. 61(8). 84005–84005. 8 indexed citations
15.
Karpushov, A., F. Bagnato, M. Baquero-Ruiz, et al.. (2019). Instabilities and fast ion confinement on the TCV tokamak. MPG.PuRe (Max Planck Society). 1 indexed citations
16.
Kong, M., T.C. Blanken, F. Felici, et al.. (2019). Control of neoclassical tearing modes and integrated multi-actuator plasma control on TCV. Nuclear Fusion. 59(7). 76035–76035. 14 indexed citations
17.
Harrison, J., C. Theiler, O. Février, et al.. (2019). Progress toward divertor detachment on TCV within H-mode operating parameters. Plasma Physics and Controlled Fusion. 61(6). 65024–65024. 17 indexed citations
18.
Sheikh, U., M. Dunne, L. Frassinetti, et al.. (2018). Pedestal structure and energy confinement studies on TCV. Plasma Physics and Controlled Fusion. 61(1). 14002–14002. 18 indexed citations
19.
Faitsch, M., R. Maurizio, A. Gallo, et al.. (2018). Dependence of the L-Mode scrape-off layer power fall-off length on the upper triangularity in TCV. Plasma Physics and Controlled Fusion. 60(4). 45010–45010. 25 indexed citations
20.
Kikuchi, M., S. Yu. Medvedev, T. Takizuka, et al.. (2017). Single Null Negative Triangularity Tokamak for Power Handling. Bulletin of the American Physical Society. 2017. 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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