Ф. С. Зайцев

527 total citations
29 papers, 110 citations indexed

About

Ф. С. Зайцев is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Aerospace Engineering. According to data from OpenAlex, Ф. С. Зайцев has authored 29 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nuclear and High Energy Physics, 6 papers in Materials Chemistry and 5 papers in Aerospace Engineering. Recurrent topics in Ф. С. Зайцев's work include Magnetic confinement fusion research (15 papers), Fusion materials and technologies (6 papers) and Laser-Plasma Interactions and Diagnostics (4 papers). Ф. С. Зайцев is often cited by papers focused on Magnetic confinement fusion research (15 papers), Fusion materials and technologies (6 papers) and Laser-Plasma Interactions and Diagnostics (4 papers). Ф. С. Зайцев collaborates with scholars based in Russia, United Kingdom and Tajikistan. Ф. С. Зайцев's co-authors include M.R. O’Brien, M. Cox, Д. П. Костомаров, R. Akers, Štefan Matejčík, N. Hawkes, R. I. Tanner, В.В. Дроздов, E.R. Solano and A. Murari and has published in prestigious journals such as Journal of Computational Physics, Computer Physics Communications and Nuclear Fusion.

In The Last Decade

Ф. С. Зайцев

23 papers receiving 104 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ф. С. Зайцев Russia 7 83 31 23 19 15 29 110
George Wilkie United States 7 96 1.2× 48 1.5× 49 2.1× 21 1.1× 13 0.9× 14 142
Calvin Lau United States 7 112 1.3× 67 2.2× 21 0.9× 28 1.5× 11 0.7× 23 149
H. Trimiño Mora Germany 5 87 1.0× 25 0.8× 38 1.7× 12 0.6× 12 0.8× 10 113
T. Szabolics Hungary 7 104 1.3× 16 0.5× 44 1.9× 9 0.5× 24 1.6× 15 136
Noah Mandell United States 8 165 2.0× 104 3.4× 42 1.8× 16 0.8× 17 1.1× 20 189
Olivier Izacard United States 5 93 1.1× 36 1.2× 37 1.6× 7 0.4× 20 1.3× 9 116
U. Höfel Germany 9 129 1.6× 56 1.8× 34 1.5× 15 0.8× 21 1.4× 27 167
E. Alessi Italy 5 83 1.0× 31 1.0× 17 0.7× 14 0.7× 26 1.7× 26 96
I. Abramovic Germany 7 97 1.2× 33 1.1× 17 0.7× 33 1.7× 7 0.5× 14 126
P. Martin Italy 6 131 1.6× 92 3.0× 17 0.7× 14 0.7× 32 2.1× 10 153

Countries citing papers authored by Ф. С. Зайцев

Since Specialization
Citations

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

Fields of papers citing papers by Ф. С. Зайцев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ф. С. Зайцев. 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 Ф. С. Зайцев. The network helps show where Ф. С. Зайцев may publish in the future.

Co-authorship network of co-authors of Ф. С. Зайцев

This figure shows the co-authorship network connecting the top 25 collaborators of Ф. С. Зайцев. A scholar is included among the top collaborators of Ф. С. Зайцев 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 Ф. С. Зайцев. Ф. С. Зайцев 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.
Зайцев, Ф. С., et al.. (2021). EdgeAvatar: An Edge Computing System for Building Virtual Beings. Electronics. 10(3). 229–229. 5 indexed citations
2.
Бычков, В. Л., et al.. (2021). Corona Discharge Over Alcohol Against Germs in Air. IEEE Transactions on Plasma Science. 49(3). 1028–1033. 3 indexed citations
3.
Миронов, М. И., Ф. С. Зайцев, Н. Н. Гореленков, et al.. (2018). Sawtooth mixing of alphas, knock-on D, and T ions, and its influence on NPA spectra in ITER plasma. Nuclear Fusion. 58(8). 82030–82030. 5 indexed citations
4.
Зайцев, Ф. С., et al.. (2018). Model of superconductivity formation on ideal crystal lattice defect–twin or twin boundary (MSC-TB). Journal of Physics Conference Series. 996. 12016–12016.
5.
Зайцев, Ф. С., et al.. (2017). Three-Dimensional Mathematical Modeling of Dynamics Interfaces Between Aluminum, Electrolytes and Reverse Zone of Oxidized Metal Depending on the Potencial Distribution. Journal of Siberian Federal University Engineering & Technologies. 10(1). 59–73. 1 indexed citations
6.
Зайцев, Ф. С., et al.. (2017). The effect of sawtooth oscillations on the alpha particle distribution and energy balance in the ITER plasma. Doklady Physics. 62(11). 499–502. 1 indexed citations
7.
Зайцев, Ф. С., et al.. (2013). Mathematical modeling of energy release in a plasma vortex reactor. Doklady Mathematics. 87(3). 354–356. 3 indexed citations
8.
Костомаров, Д. П., et al.. (2013). The NNTMM code: Mathematical modeling, optimization, and data analysis through neural networks. Moscow University Computational Mathematics and Cybernetics. 37(2). 55–60. 1 indexed citations
9.
Костомаров, Д. П., et al.. (2012). Automating computations in the virtual Tokamak software system. Moscow University Computational Mathematics and Cybernetics. 36(4). 165–168.
10.
Зайцев, Ф. С., et al.. (2012). A New Method to Identify the Equilibria Compatible with the Measurements Using the Technique of the ε-Nets. Fusion Science & Technology. 62(2). 366–373. 2 indexed citations
11.
Зайцев, Ф. С.. (2010). Construction of substantially different solutions of an inverse problem for a toroidal plasma equilibrium equation. Mathematical Models and Computer Simulations. 2(3). 334–340.
12.
Костомаров, Д. П., et al.. (2010). The ScopeShell graphic interface: Support for computational experiments and data visualization. Moscow University Computational Mathematics and Cybernetics. 34(4). 191–197. 1 indexed citations
13.
Зайцев, Ф. С., et al.. (2008). Analyses of ITER operation mode using the support vector machine technique for plasma discharge classification. Plasma Physics and Controlled Fusion. 50(6). 65013–65013. 7 indexed citations
14.
Зайцев, Ф. С., et al.. (2007). Suprathermal deuterium ions produced by nuclear elastic scattering of ICRH driven He3ions in JET plasmas. Plasma Physics and Controlled Fusion. 49(11). 1747–1766. 7 indexed citations
15.
Костомаров, Д. П., et al.. (2005). Reconstruction of the equilibrium of a toroidal plasma from data of optical and magnetic diagnostics. Doklady Physics. 50(10). 505–508. 2 indexed citations
16.
Костомаров, Д. П., et al.. (2004). Investigation of the electrical conductivity of a plasma in a spherical tokamak. Doklady Physics. 49(6). 350–353.
17.
Зайцев, Ф. С., R. Akers, & M.R. O’Brien. (2002). Perturbations to deuterium and tritium distributions caused by close collisions with high-energy alpha-particles. Nuclear Fusion. 42(11). 1340–1347. 6 indexed citations
18.
Зайцев, Ф. С., et al.. (1998). Difference Schemes for the Time Evolution of Three-Dimensional Kinetic Equations. Journal of Computational Physics. 147(2). 239–264. 9 indexed citations
19.
Зайцев, Ф. С., M.R. O’Brien, & M. Cox. (1993). Three-dimensional neoclassical nonlinear kinetic equation for low collisionality axisymmetric tokamak plasmas. Physics of Fluids B Plasma Physics. 5(2). 509–519. 31 indexed citations
20.
Зайцев, Ф. С., et al.. (1981). Noise in phased antenna arrays. Radiophysics and Quantum Electronics. 24(1). 48–54. 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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