S. Maeyama

667 total citations
51 papers, 517 citations indexed

About

S. Maeyama is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Materials Chemistry. According to data from OpenAlex, S. Maeyama has authored 51 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Nuclear and High Energy Physics, 37 papers in Astronomy and Astrophysics and 10 papers in Materials Chemistry. Recurrent topics in S. Maeyama's work include Magnetic confinement fusion research (44 papers), Ionosphere and magnetosphere dynamics (37 papers) and Laser-Plasma Interactions and Diagnostics (19 papers). S. Maeyama is often cited by papers focused on Magnetic confinement fusion research (44 papers), Ionosphere and magnetosphere dynamics (37 papers) and Laser-Plasma Interactions and Diagnostics (19 papers). S. Maeyama collaborates with scholars based in Japan, France and Germany. S. Maeyama's co-authors include T. Watanabe, A. Ishizawa, M. Nakata, M. Nunami, N. Nakajima, H. Sugama, Yasuhiro Idomura, M. Yagi, N. Miyato and Hiroaki Tsutsui and has published in prestigious journals such as Physical Review Letters, Nature Communications and Scientific Reports.

In The Last Decade

S. Maeyama

48 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Maeyama Japan 14 460 369 123 72 51 51 517
K.J. Zhao China 13 673 1.5× 515 1.4× 148 1.2× 58 0.8× 48 0.9× 47 691
A. Casati France 8 496 1.1× 321 0.9× 201 1.6× 90 1.3× 67 1.3× 12 519
A. Zocco Germany 15 504 1.1× 434 1.2× 79 0.6× 54 0.8× 36 0.7× 48 575
S. Allfrey Switzerland 11 488 1.1× 388 1.1× 76 0.6× 83 1.2× 52 1.0× 24 507
A. Biancalani Germany 15 535 1.2× 458 1.2× 55 0.4× 94 1.3× 28 0.5× 59 576
E. Blanco Spain 15 528 1.1× 443 1.2× 72 0.6× 87 1.2× 65 1.3× 33 558
D. A. Shelukhin Russia 10 478 1.0× 318 0.9× 132 1.1× 58 0.8× 58 1.1× 38 504
W.Y. Hong China 11 520 1.1× 413 1.1× 108 0.9× 42 0.6× 38 0.7× 20 533
J. Vicente Germany 7 386 0.8× 252 0.7× 130 1.1× 72 1.0× 78 1.5× 23 420
N. Miyato Japan 12 490 1.1× 402 1.1× 96 0.8× 51 0.7× 52 1.0× 36 498

Countries citing papers authored by S. Maeyama

Since Specialization
Citations

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

Fields of papers citing papers by S. Maeyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Maeyama

This figure shows the co-authorship network connecting the top 25 collaborators of S. Maeyama. A scholar is included among the top collaborators of S. Maeyama 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 S. Maeyama. S. Maeyama 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.
2.
Maeyama, S., et al.. (2024). Multi-fidelity information fusion for turbulent transport modeling in magnetic fusion plasma. Scientific Reports. 14(1). 28242–28242. 1 indexed citations
3.
Maeyama, S., et al.. (2024). Rotating flux-tube model for local gyrokinetic simulations with background flow and magnetic shears. Journal of Computational Physics. 522. 113595–113595.
4.
Watanabe, T., et al.. (2024). Convective Growth of Auroral Arcs Through the Feedback Instability in a Dipole Geometry. Journal of Geophysical Research Space Physics. 129(12). 1 indexed citations
5.
Watanabe, T., S. Maeyama, & M. Nakata. (2023). Stabilization of trapped electron mode through effective diffusion in electron temperature gradient turbulence. Nuclear Fusion. 63(5). 54001–54001. 4 indexed citations
6.
Ishizawa, A., et al.. (2023). Plasma beta dependence of ion temperature gradient driven turbulence influenced by Shafranov shift. Plasma Physics and Controlled Fusion. 65(6). 65004–65004. 2 indexed citations
7.
Honda, M., et al.. (2023). Multimodal convolutional neural networks for predicting evolution of gyrokinetic simulations. Contributions to Plasma Physics. 63(5-6).
8.
Maeyama, S., et al.. (2022). Existence of finite and anisotropic heavy ion parallel compressibility pinch in the gyrokinetic turbulence. Physical Review Research. 4(4). 2 indexed citations
9.
Maeyama, S., et al.. (2022). Multi-scale turbulence simulation suggesting improvement of electron heated plasma confinement. Nature Communications. 13(1). 25 indexed citations
10.
Maeyama, S., M. Sasaki, Keisuke Fujii, et al.. (2021). On the triad transfer analysis of plasma turbulence: symmetrization, coarse graining, and directional representation. New Journal of Physics. 23(4). 43049–43049. 6 indexed citations
11.
Fujii, Keisuke, S. Maeyama, X. Garbet, et al.. (2021). Compressing the time series of five dimensional distribution function data from gyrokinetic simulation using principal component analysis. Physics of Plasmas. 28(1). 5 indexed citations
12.
Citrin, J., C. Angioni, N. Bonanomi, et al.. (2021). Validating reduced turbulence model predictions of Electron Temperature Gradient transport on a JET improved-confinement scenario. Data Archiving and Networked Services (DANS). 1 indexed citations
13.
Sato, Hiroki, T. Watanabe, & S. Maeyama. (2021). Contour Dynamics for One-Dimensional Vlasov-Poisson Plasma with the Periodic Boundary. arXiv (Cornell University). 3 indexed citations
14.
Maeyama, S., Shinpei Kusaka, & T. Watanabe. (2021). Effects of ion polarization and finite-β on heat transport in slab electron-temperature-gradient driven turbulence. Physics of Plasmas. 28(5). 6 indexed citations
15.
Ishizawa, A., et al.. (2019). Persistence of Ion Temperature Gradient Turbulent Transport at Finite Normalized Pressure. Physical Review Letters. 123(2). 25003–25003. 19 indexed citations
16.
Latu, Guillaume, et al.. (2019). Overlapping communications in gyrokinetic codes on accelerator‐based platforms. Concurrency and Computation Practice and Experience. 32(5). 1 indexed citations
17.
Maeyama, S., T. Watanabe, Yasuhiro Idomura, et al.. (2017). Cross-scale interactions between turbulence driven by electron and ion temperature gradients via sub-ion-scale structures. Nuclear Fusion. 57(6). 66036–66036. 19 indexed citations
18.
Ida, K., et al.. (2017). The 7th Asia-Pacific Transport Working Group (APTWG) meeting. Nuclear Fusion. 58(1). 17001–17001. 2 indexed citations
19.
Maeyama, S., Yasuhiro Idomura, T. Watanabe, et al.. (2015). Cross-Scale Interactions between Electron and Ion Scale Turbulence in a Tokamak Plasma. Physical Review Letters. 114(25). 255002–255002. 92 indexed citations
20.
Ishizawa, A., T. Watanabe, H. Sugama, et al.. (2014). Electromagnetic gyrokinetic simulation of turbulent transport in high ion temperature discharge of Large Helical Device. Bulletin of the American Physical Society. 2014. 2 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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