S. Ku

3.1k total citations
94 papers, 1.9k citations indexed

About

S. Ku is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Aerospace Engineering. According to data from OpenAlex, S. Ku has authored 94 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Nuclear and High Energy Physics, 54 papers in Astronomy and Astrophysics and 21 papers in Aerospace Engineering. Recurrent topics in S. Ku's work include Magnetic confinement fusion research (80 papers), Ionosphere and magnetosphere dynamics (53 papers) and Particle accelerators and beam dynamics (20 papers). S. Ku is often cited by papers focused on Magnetic confinement fusion research (80 papers), Ionosphere and magnetosphere dynamics (53 papers) and Particle accelerators and beam dynamics (20 papers). S. Ku collaborates with scholars based in United States, South Korea and France. S. Ku's co-authors include C. S. Chang, P. H. Diamond, Harold Weitzner, R. Hager, Scott Parker, R.M. Churchill, G. Dif‐Pradalier, J. Abiteboul, V. Grandgirard and Y. Sarazin and has published in prestigious journals such as Physical Review Letters, Journal of Computational Physics and Journal of Nuclear Materials.

In The Last Decade

S. Ku

91 papers receiving 1.9k 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. Ku United States 25 1.5k 1.0k 384 294 274 94 1.9k
S. Ethier United States 22 1.0k 0.7× 668 0.7× 234 0.6× 232 0.8× 544 2.0× 103 1.7k
Viktor K. Decyk United States 29 1.4k 1.0× 1.0k 1.0× 93 0.2× 495 1.7× 238 0.9× 136 2.5k
Scott Kruger United States 19 1.0k 0.7× 760 0.7× 194 0.5× 157 0.5× 45 0.2× 57 1.2k
V. Grandgirard France 26 2.1k 1.4× 1.5k 1.5× 373 1.0× 330 1.1× 67 0.2× 125 2.3k
A. M. Dimits United States 23 2.1k 1.4× 1.5k 1.5× 374 1.0× 358 1.2× 41 0.1× 72 2.4k
J. Manickam United States 35 4.1k 2.7× 2.6k 2.5× 1.2k 3.1× 759 2.6× 302 1.1× 144 4.6k
Yasuhiro Idomura Japan 23 1.8k 1.2× 1.5k 1.4× 326 0.8× 358 1.2× 56 0.2× 108 2.1k
Zarija Lukić United States 25 487 0.3× 952 0.9× 32 0.1× 45 0.2× 202 0.7× 93 1.9k
Torbjörn Sjöstrand Sweden 39 14.4k 9.6× 1.9k 1.8× 25 0.1× 139 0.5× 253 0.9× 112 14.7k
Benjamin Nachman United States 27 2.0k 1.3× 123 0.1× 39 0.1× 72 0.2× 110 0.4× 127 2.7k

Countries citing papers authored by S. Ku

Since Specialization
Citations

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

Fields of papers citing papers by S. Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Ku. A scholar is included among the top collaborators of S. Ku 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. Ku. S. Ku 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.
Ernst, D. R., A. Bortolon, C. S. Chang, et al.. (2024). Broadening of the Divertor Heat Flux Profile in High Confinement Tokamak Fusion Plasmas with Edge Pedestals Limited by Turbulence in DIII-D. Physical Review Letters. 132(23). 235102–235102. 10 indexed citations
2.
Dominski, J., et al.. (2024). Core-edge modeling of gyrokinetic turbulence by coupling the delta-f and total-f models in the XGC code. Physics of Plasmas. 31(7). 1 indexed citations
3.
Wilkie, George, F. M. Laggner, R. Hager, et al.. (2024). Reconstruction and interpretation of ionization asymmetry in magnetic confinement via synthetic diagnostics. Nuclear Fusion. 64(8). 86028–86028. 6 indexed citations
4.
Dominski, J., et al.. (2022). Toward the core-edge coupling of delta-f and total-f gyrokinetic models. Physics of Plasmas. 29(3). 4 indexed citations
5.
Cole, M., T. Görler, Yang Chen, et al.. (2022). Global gyrokinetic study of shaping effects on electromagnetic modes at NSTX aspect ratio with ad hoc parallel magnetic perturbation effects. Physics of Plasmas. 29(11). 5 indexed citations
6.
Moritaka, Toseo, H. Sugama, M. Cole, et al.. (2022). Isotope effects under the influence of global radial electric fields in a helical configuration. Nuclear Fusion. 62(12). 126059–126059.
7.
Hager, R., et al.. (2022). Electromagnetic total-f algorithm for gyrokinetic particle-in-cell simulations of boundary plasma in XGC. Physics of Plasmas. 29(11). 22 indexed citations
8.
Ku, S., Luis Chacòn, Y. Chen, et al.. (2021). Verification of a fully implicit particle-in-cell method for the v∥-formalism of electromagnetic gyrokinetics in the XGC code. eScholarship (California Digital Library). 11 indexed citations
9.
Churchill, R.M., C. S. Chang, Jong Youl Choi, et al.. (2021). A Framework for International Collaboration on ITER Using Large-Scale Data Transfer to Enable Near-Real-Time Analysis. Fusion Science & Technology. 77(2). 98–108. 3 indexed citations
10.
Chang, C. S., S. Ku, R. Hager, et al.. (2021). Constructing a new predictive scaling formula for ITER's divertor heat-load width informed by a simulation-anchored machine learning. Physics of Plasmas. 28(2). 23 indexed citations
11.
Cole, M., Toseo Moritaka, R. Hager, et al.. (2020). Nonlinear global gyrokinetic delta-f turbulence simulations in a quasi-axisymmetric stellarator. Physics of Plasmas. 27(4). 13 indexed citations
12.
Myra, J. R., S. Ku, D. A. Russell, et al.. (2020). Reduction of blob-filament radial propagation by parallel variation of flows: Analysis of a gyrokinetic simulation. Physics of Plasmas. 27(8). 4 indexed citations
13.
Stotler, D.P., S. Ku, S. J. Zweben, et al.. (2020). Examination of synthetic gas puff imaging diagnostic data from a gyrokinetic turbulence code. Physics of Plasmas. 27(6). 2 indexed citations
14.
Dominski, J., et al.. (2019). Coupling core delta-f and edge total-f gyrokinetic codes with kinetic electron dynamics. APS Division of Plasma Physics Meeting Abstracts. 2019. 1 indexed citations
15.
Dominski, J., C. S. Chang, R. Hager, et al.. (2019). Study of up–down poloidal density asymmetry of high- impurities with the new impurity version of XGCa. Journal of Plasma Physics. 85(5). 14 indexed citations
16.
Churchill, R.M., C. S. Chang, S. Ku, et al.. (2019). Pressure balance in a lower collisionality, attached tokamak scrape-off layer. Nuclear Fusion. 59(9). 96002–96002. 1 indexed citations
17.
Ku, S., C. S. Chang, R. Hager, et al.. (2018). A fast low-to-high confinement mode bifurcation dynamics in the boundary-plasma gyrokinetic code XGC1. Physics of Plasmas. 25(5). 72 indexed citations
18.
Ku, S., et al.. (2018). Fully implicit particle-in-cell simulation of gyrokinetic electromagnetic modes in XGC1 without the cancellation issue. Bulletin of the American Physical Society. 2018. 1 indexed citations
19.
Ku, S., J. Dominski, R. Hager, et al.. (2017). Gyrokinetic study of electron transport in NSTX using XGC. Bulletin of the American Physical Society. 2017. 1 indexed citations
20.
Biewer, T. M., J. W. Hughes, A. Hubbard, et al.. (2005). Extension of Pedestal Scaling Studies on the Alcator C-Mod Tokamak. Bulletin of the American Physical Society. 47. 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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