M. Gorelenkova

1.0k total citations
41 papers, 580 citations indexed

About

M. Gorelenkova is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Materials Chemistry. According to data from OpenAlex, M. Gorelenkova has authored 41 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Nuclear and High Energy Physics, 20 papers in Astronomy and Astrophysics and 13 papers in Materials Chemistry. Recurrent topics in M. Gorelenkova's work include Magnetic confinement fusion research (38 papers), Ionosphere and magnetosphere dynamics (19 papers) and Fusion materials and technologies (13 papers). M. Gorelenkova is often cited by papers focused on Magnetic confinement fusion research (38 papers), Ionosphere and magnetosphere dynamics (19 papers) and Fusion materials and technologies (13 papers). M. Gorelenkova collaborates with scholars based in United States, United Kingdom and Russia. M. Gorelenkova's co-authors include M. Podestá, R. B. White, Н. Н. Гореленков, R. Budny, L. Zakharov, Z. Chang, T. Kurki-Suonio, S. Kaye, Joonas Govenius and G. Tardini and has published in prestigious journals such as SHILAP Revista de lepidopterología, AIAA Journal and Computer Physics Communications.

In The Last Decade

M. Gorelenkova

40 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Gorelenkova United States 13 553 302 178 176 109 41 580
Bili Ling China 13 512 0.9× 244 0.8× 183 1.0× 138 0.8× 117 1.1× 64 546
R. Akers United Kingdom 16 627 1.1× 332 1.1× 202 1.1× 143 0.8× 126 1.2× 27 656
R. Akers United Kingdom 13 521 0.9× 271 0.9× 181 1.0× 149 0.8× 158 1.4× 30 556
A. Bader United States 13 484 0.9× 215 0.7× 175 1.0× 123 0.7× 121 1.1× 39 520
A.W. Morris United Kingdom 16 672 1.2× 363 1.2× 221 1.2× 180 1.0× 183 1.7× 29 730
J.-M. Noterdaeme Germany 12 727 1.3× 406 1.3× 186 1.0× 222 1.3× 123 1.1× 38 775
L. Panaccione Italy 12 365 0.7× 160 0.5× 127 0.7× 143 0.8× 88 0.8× 33 399
A. Burckhart Germany 15 560 1.0× 292 1.0× 228 1.3× 139 0.8× 162 1.5× 37 584
J. Boom Germany 16 634 1.1× 363 1.2× 199 1.1× 156 0.9× 137 1.3× 38 673
A. Morioka Japan 14 481 0.9× 260 0.9× 175 1.0× 152 0.9× 94 0.9× 28 583

Countries citing papers authored by M. Gorelenkova

Since Specialization
Citations

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

Fields of papers citing papers by M. Gorelenkova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Gorelenkova

This figure shows the co-authorship network connecting the top 25 collaborators of M. Gorelenkova. A scholar is included among the top collaborators of M. Gorelenkova 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 M. Gorelenkova. M. Gorelenkova 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.
Pankin, A.Y., et al.. (2025). TRANSP integrated modeling code for interpretive and predictive analysis of tokamak plasmas. Computer Physics Communications. 312. 109611–109611. 6 indexed citations
2.
Ward, I. M., et al.. (2025). Self-consistent equilibrium and transport simulations for NSTX-U plasmas enhanced via machine learning surrogate models. Fusion Engineering and Design. 219. 115201–115201. 1 indexed citations
3.
Gorelenkova, M., Federico David Halpern, S. Kaye, et al.. (2025). Assessing time-dependent temperature profile predictions using reduced transport models for high performing NSTX plasmas. Plasma Physics and Controlled Fusion. 67(10). 105029–105029. 2 indexed citations
4.
Kaye, S., et al.. (2025). Sensitivities of time-dependent temperature profile predictions for NSTX with the multi-mode model. Plasma Physics and Controlled Fusion. 67(10). 105030–105030. 2 indexed citations
5.
Гореленков, Н. Н., et al.. (2024). Fast ion relaxation in ITER mediated by Alfvén instabilities. Nuclear Fusion. 64(7). 76061–76061. 4 indexed citations
6.
Teplukhina, A., M. Podestá, F. M. Poli, et al.. (2023). Alfvén eigenmode stability in a JET afterglow deuterium plasma and projections to deuterium–tritium plasmas. Plasma Physics and Controlled Fusion. 65(3). 35023–35023. 1 indexed citations
7.
Žohar, Andrej, M. Nocente, Bor Kos, et al.. (2022). Validation of realistic Monte Carlo plasma gamma-ray source on JET discharges. Nuclear Fusion. 62(6). 66004–66004. 3 indexed citations
8.
Podestá, M., M. Gorelenkova, A. Teplukhina, et al.. (2022). Extension of the energetic particle transport kick model in TRANSP to multiple fast ion species. Nuclear Fusion. 62(12). 126047–126047. 4 indexed citations
9.
Teplukhina, A., M. Podestá, F. M. Poli, et al.. (2021). Fast ion transport by sawtooth instability in the presence of ICRF–NBI synergy in JET plasmas. Nuclear Fusion. 61(11). 116056–116056. 7 indexed citations
10.
Štancar, Ž., M. Gorelenkova, S. Conroy, et al.. (2019). Multiphysics approach to plasma neutron source modelling at the JET tokamak. Nuclear Fusion. 59(9). 96020–96020. 9 indexed citations
11.
Grierson, B. A., Xingqiu Yuan, M. Gorelenkova, et al.. (2018). Orchestrating TRANSP Simulations for Interpretative and Predictive Tokamak Modeling with OMFIT. Fusion Science & Technology. 74(1-2). 101–115. 60 indexed citations
12.
Podestá, M., M. Gorelenkova, Н. Н. Гореленков, & R. B. White. (2017). Computation of Alfvèn eigenmode stability and saturation through a reduced fast ion transport model in the TRANSP tokamak transport code. Plasma Physics and Controlled Fusion. 59(9). 95008–95008. 40 indexed citations
13.
Bertelli, N., M. Gorelenkova, C. K. Phillips, et al.. (2017). Full-wave simulations of ICRF heating regimes in toroidal plasma with non-Maxwellian distribution functions. Nuclear Fusion. 57(5). 56035–56035. 16 indexed citations
14.
Podestá, M., M. Gorelenkova, D. Darrow, et al.. (2015). Effects of MHD instabilities on neutral beam current drive. Nuclear Fusion. 55(5). 53018–53018. 6 indexed citations
15.
Polevoi, A.R., A. Loarte, R. Bilato, et al.. (2015). Assessment of neutron emission from DD to DT operation of ITER. MPG.PuRe (Max Planck Society). 3 indexed citations
16.
Asunta, O., Joonas Govenius, R. Budny, et al.. (2014). Modelling neutral beams in fusion devices: Beamlet-based model for fast particle simulations. Computer Physics Communications. 188. 33–46. 66 indexed citations
17.
Krämer, G., R. Ellis, M. Gorelenkova, et al.. (2011). Fast-ion effects during test blanket module simulation experiments in DIII-D. Nuclear Fusion. 51(10). 103029–103029. 20 indexed citations
18.
Гореленков, Н. Н., L. Zakharov, & M. Gorelenkova. (2003). Toroidal Plasma Thruster for Deep Space Flights. AIAA Journal. 41(5). 774–784. 2 indexed citations
19.
Gorelenkova, M. & Н. Н. Гореленков. (1998). Magnetosonic eigenmodes near the magnetic field well in a spherical torus. Physics of Plasmas. 5(11). 4104–4106. 5 indexed citations
20.
Gorelenkova, M., et al.. (1995). Polarization-correlation Stokes parameters for the quadrupole 2p6-2p53p J=2 transitions in neon. Journal of Physics B Atomic Molecular and Optical Physics. 28(17). 3927–3944. 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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