A. Polevoi

3.1k total citations
26 papers, 657 citations indexed

About

A. Polevoi is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, A. Polevoi has authored 26 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Nuclear and High Energy Physics, 17 papers in Biomedical Engineering and 12 papers in Aerospace Engineering. Recurrent topics in A. Polevoi's work include Magnetic confinement fusion research (26 papers), Superconducting Materials and Applications (17 papers) and Particle accelerators and beam dynamics (12 papers). A. Polevoi is often cited by papers focused on Magnetic confinement fusion research (26 papers), Superconducting Materials and Applications (17 papers) and Particle accelerators and beam dynamics (12 papers). A. Polevoi collaborates with scholars based in France, Germany and United States. A. Polevoi's co-authors include Yueqiang Liu, A. Bondeson, Y. Gribov, M. Shimada, V. Mukhovatov, M. Sugihara, G. Federici, A. Loarte, A.S. Kukushkin and A. E. Costley and has published in prestigious journals such as Journal of Nuclear Materials, Physics of Plasmas and Nuclear Fusion.

In The Last Decade

A. Polevoi

26 papers receiving 607 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. Polevoi France 13 602 302 247 243 186 26 657
A. Janzer Germany 8 627 1.0× 351 1.2× 163 0.7× 274 1.1× 145 0.8× 14 674
I. Zammuto Germany 9 583 1.0× 321 1.1× 213 0.9× 306 1.3× 191 1.0× 21 742
P. Denner Germany 9 596 1.0× 209 0.7× 209 0.8× 314 1.3× 174 0.9× 17 625
M. Price United Kingdom 13 612 1.0× 332 1.1× 151 0.6× 306 1.3× 119 0.6× 21 691
S. Sakurai Japan 16 802 1.3× 587 1.9× 414 1.7× 198 0.8× 237 1.3× 58 883
P. Lomas United Kingdom 13 481 0.8× 273 0.9× 169 0.7× 152 0.6× 100 0.5× 42 523
M. Marinucci Italy 12 391 0.6× 186 0.6× 100 0.4× 192 0.8× 123 0.7× 34 452
Y. X. Wan China 10 403 0.7× 204 0.7× 195 0.8× 123 0.5× 185 1.0× 13 503
M.-L. Mayoral Germany 8 511 0.8× 311 1.0× 136 0.6× 161 0.7× 169 0.9× 22 599
W. P. West United States 8 404 0.7× 226 0.7× 113 0.5× 165 0.7× 121 0.7× 39 460

Countries citing papers authored by A. Polevoi

Since Specialization
Citations

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

Fields of papers citing papers by A. Polevoi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of A. Polevoi. A scholar is included among the top collaborators of A. Polevoi 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. Polevoi. A. Polevoi 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.
Liu, Yueqiang, Li Li, A. Loarte, S. D. Pinches, & A. Polevoi. (2022). Loss of energetic particles due to resistive wall mode instability in ITER. Nuclear Fusion. 62(6). 66011–66011. 4 indexed citations
2.
Li, Li, Yueqiang Liu, A. Loarte, et al.. (2022). Quasi-linear toroidal simulations of resonant magnetic perturbations in eight ITER H-mode scenarios. Nuclear Fusion. 62(9). 96008–96008. 6 indexed citations
3.
Liu, Yueqiang, Li Li, A. Loarte, S. D. Pinches, & A. Polevoi. (2021). Drift orbit islands of energetic particles due to 3D fields in ITER. Nuclear Fusion. 61(10). 106029–106029. 7 indexed citations
4.
Li, Li, Yueqiang Liu, A. Loarte, et al.. (2020). ELM control optimization for various ITER scenarios based on linear and quasi-linear figures of merit. Physics of Plasmas. 27(4). 5 indexed citations
5.
Loarte, A., et al.. (2020). Evaluation of core beta effects on pedestal MHD stability in ITER and consequences for energy confinement. Physics of Plasmas. 27(9). 733–736. 1 indexed citations
6.
Li, Li, Yueqiang Liu, A. Loarte, et al.. (2019). Modeling 3D plasma boundary corrugation and tailoring toroidal torque profiles with resonant magnetic perturbation fields in ITER. Nuclear Fusion. 59(9). 96038–96038. 27 indexed citations
7.
Li, Li, Yueqiang Liu, A. Loarte, et al.. (2019). Toroidal modeling of resonant magnetic perturbations in preparation for the initial phase of ITER operation. Nuclear Fusion. 60(1). 16013–16013. 15 indexed citations
8.
Köchl, F., A. Loarte, E. de la Luna, et al.. (2018). W transport and accumulation control in the termination phase of JET H-mode discharges and implications for ITER. Plasma Physics and Controlled Fusion. 60(7). 74008–74008. 36 indexed citations
9.
Loarte, A., F. Koechl, Matthew Leyland, et al.. (2014). Evolution of plasma parameters in the termination phase of high confinement H-modes at JET and implications for ITER. Nuclear Fusion. 54(12). 123014–123014. 15 indexed citations
10.
Yavorskij, V., K. Schoepf, V. Goloborodko, et al.. (2011). Results of Predictive Fokker–Planck Modelling of NBI Deuterons in ITER. Journal of Fusion Energy. 30(4). 307–322. 2 indexed citations
11.
Zucca, C., O. Sauter, M. Henderson, et al.. (2008). Safety-factor profile tailoring by improved electron cyclotron system for sawtooth control and reverse shear scenarios in ITER. AIP conference proceedings. 361–367. 8 indexed citations
12.
Polevoi, A., A. V. Zvonkov, T. Oikawa, et al.. (2008). Assessment of current drive efficiency and the synergetic effect for ECCD and LHCD and the possibility of long pulse operation in ITER. Nuclear Fusion. 48(1). 15002–15002. 9 indexed citations
13.
Federici, G., M. Kobayashi, A. Loarte, et al.. (2007). Simulations of ITER start-up and assessment of limiter power loads. Journal of Nuclear Materials. 363-365. 346–352. 12 indexed citations
14.
Tanga, A., A. Loarte, L. D. Horton, et al.. (2006). Simulations of ITER Plasma Limiter Start-Up Conditions. MPG.PuRe (Max Planck Society). 1. 520–523. 2 indexed citations
15.
Liu, Yueqiang, A. Bondeson, Y. Gribov, & A. Polevoi. (2004). Stabilization of resistive wall modes in ITER by active feedback and toroidal rotation. Nuclear Fusion. 44(2). 232–242. 121 indexed citations
16.
Mukhovatov, V., M. Shimada, A. N. Chudnovskiy, et al.. (2003). Overview of physics basis for ITER. Plasma Physics and Controlled Fusion. 45(12A). A235–A252. 59 indexed citations
17.
Hobirk, J., T. Oikawa, Takao Fujita, et al.. (2003). Off-axis neutral beam current drive experiments on ASDEX Upgrade and JT-60U. MPG.PuRe (Max Planck Society). 4 indexed citations
18.
Sugihara, M., V. Mukhovatov, A. Polevoi, & M. Shimada. (2003). Scaling of H-mode edge pedestal pressure for a Type-I ELM regime in tokamaks. Plasma Physics and Controlled Fusion. 45(9). L55–L62. 36 indexed citations
19.
Mukhovatov, V., Y. Shimomura, A. Polevoi, et al.. (2003). Comparison of ITER performance predicted by semi-empirical and theory-based transport models. Nuclear Fusion. 43(9). 942–948. 39 indexed citations
20.
Connor, J W, S.J. Fielding, A. Polevoi, et al.. (1995). Theoretical models and results from COMPASS-D, START and JET. Physica Scripta. 51(5). 605–609. 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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