А. В. Федосеев

690 total citations
65 papers, 528 citations indexed

About

А. В. Федосеев is a scholar working on Atomic and Molecular Physics, and Optics, Astronomy and Astrophysics and Electrical and Electronic Engineering. According to data from OpenAlex, А. В. Федосеев has authored 65 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Atomic and Molecular Physics, and Optics, 33 papers in Astronomy and Astrophysics and 24 papers in Electrical and Electronic Engineering. Recurrent topics in А. В. Федосеев's work include Dust and Plasma Wave Phenomena (38 papers), Ionosphere and magnetosphere dynamics (32 papers) and Plasma Diagnostics and Applications (19 papers). А. В. Федосеев is often cited by papers focused on Dust and Plasma Wave Phenomena (38 papers), Ionosphere and magnetosphere dynamics (32 papers) and Plasma Diagnostics and Applications (19 papers). А. В. Федосеев collaborates with scholars based in Russia, Kazakhstan and United States. А. В. Федосеев's co-authors include G. I. Sukhinin, M. V. Salnikov, О. Ф. Петров, В. Е. Фортов, С. Н. Антипов, Т. С. Рамазанов, M. K. Dosbolayev, M. M. Vasiliev, Т. С. Рамазанов and K. N. Dzhumagulova and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Molecules.

In The Last Decade

А. В. Федосеев

55 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
А. В. Федосеев Russia 13 435 307 205 163 44 65 528
В. В. Шумова Russia 13 369 0.8× 222 0.7× 201 1.0× 162 1.0× 68 1.5× 51 445
Mikhail Pustylnik Germany 14 404 0.9× 311 1.0× 189 0.9× 109 0.7× 29 0.7× 42 484
Shikha Misra India 16 564 1.3× 373 1.2× 160 0.8× 108 0.7× 35 0.8× 62 760
M. K. Dosbolayev Kazakhstan 11 299 0.7× 182 0.6× 130 0.6× 146 0.9× 41 0.9× 50 402
Lu-Jing Hou China 14 419 1.0× 243 0.8× 151 0.7× 204 1.3× 40 0.9× 23 544
R. S. Bennett United States 4 369 0.8× 167 0.5× 94 0.5× 272 1.7× 32 0.7× 9 508
P. G. Murray United Kingdom 11 188 0.4× 150 0.5× 81 0.4× 209 1.3× 14 0.3× 39 492
M. Chaudhuri Germany 14 345 0.8× 226 0.7× 174 0.8× 54 0.3× 8 0.2× 38 487
R. Kompaneets Germany 15 543 1.2× 371 1.2× 249 1.2× 55 0.3× 10 0.2× 27 602
Seung J. Choi United States 9 239 0.5× 116 0.4× 71 0.3× 168 1.0× 18 0.4× 12 342

Countries citing papers authored by А. В. Федосеев

Since Specialization
Citations

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

Fields of papers citing papers by А. В. Федосеев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by А. В. Федосеев. 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 А. В. Федосеев. The network helps show where А. В. Федосеев may publish in the future.

Co-authorship network of co-authors of А. В. Федосеев

This figure shows the co-authorship network connecting the top 25 collaborators of А. В. Федосеев. A scholar is included among the top collaborators of А. В. Федосеев 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 А. В. Федосеев. А. В. Федосеев 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.
Федосеев, А. В., et al.. (2023). Modelling of pool boiling on the structured surfaces using Lattice Boltzmann method. SHILAP Revista de lepidopterología. 459. 5003–5003.
2.
Федосеев, А. В., et al.. (2023). Modeling of a Single Bubble Dynamics at Boiling by Lattice Boltzmann Method. Journal of Applied and Industrial Mathematics. 17(1). 64–71. 1 indexed citations
3.
Salnikov, M. V., G. I. Sukhinin, & А. В. Федосеев. (2023). Wake Formation in a Polarized Dusty Plasma. Plasma Physics Reports. 49(1). 41–48. 1 indexed citations
4.
Федосеев, А. В., M. V. Salnikov, M. M. Vasiliev, & О. Ф. Петров. (2022). Structural properties of a chain of dust particles in a field of external forces. Physical review. E. 106(2). 25204–25204. 4 indexed citations
5.
Федосеев, А. В. & G. I. Sukhinin. (2022). Influence of Metastable Argon Atoms and Dust Particles on Gas Discharge Plasma. Ukrainian Journal of Physics. 56(12). 1272–1272.
6.
Федосеев, А. В., et al.. (2021). Comparison of Parameter Identification Methods for Linear Dynamic Systems Under Mixed Noise. Journal of Mathematical Sciences. 253(3). 407–418. 4 indexed citations
7.
Федосеев, А. В., et al.. (2020). Large-scale ferromagnetic enhanced Ar/Cl 2 ICP. Plasma Sources Science and Technology. 29(4). 45021–45021. 2 indexed citations
8.
Федосеев, А. В., et al.. (2019). The effect of chlorine addition on ferromagnetic-enhanced inductively coupled plasma. Japanese Journal of Applied Physics. 59(SH). SHHC02–SHHC02. 2 indexed citations
9.
Зайковский, А. В., et al.. (2019). Core-shell Fe-C nanoparticles synthesis in a spherical striated glow discharge. Europhysics Letters (EPL). 125(1). 15002–15002. 1 indexed citations
10.
Sukhinin, G. I., А. В. Федосеев, & M. V. Salnikov. (2019). Effect of ion mean free path length on plasma polarization behind a dust particle in an external electric field. Contributions to Plasma Physics. 59(4-5). 9 indexed citations
11.
Sukhinin, G. I., M. V. Salnikov, & А. В. Федосеев. (2018). The effect of the type of ion–neutral collisions on ion cloud formation. AIP conference proceedings. 1923. 20029–20029. 5 indexed citations
12.
Федосеев, А. В., et al.. (2018). Elongated dust particles growth in a spherical glow discharge in ethanol. AIP conference proceedings. 1923. 20026–20026. 2 indexed citations
13.
Sukhinin, G. I., et al.. (2017). Plasma anisotropy around a dust particle placed in an external electric field. Physical review. E. 95(6). 63207–63207. 35 indexed citations
14.
Федосеев, А. В., et al.. (2017). Low-pressure low-frequency inductive discharge with ferrite cores for large-scale plasma processing. Journal of Physics Conference Series. 830. 12054–12054. 1 indexed citations
15.
Федосеев, А. В., G. I. Sukhinin, M. K. Dosbolayev, & Т. С. Рамазанов. (2015). Dust-void formation in a dc glow discharge. Physical Review E. 92(2). 23106–23106. 28 indexed citations
16.
Sukhinin, G. I., А. В. Федосеев, С. Н. Антипов, О. Ф. Петров, & В. Е. Фортов. (2013). Dust particle radial confinement in a dc glow discharge. Physical Review E. 87(1). 13101–13101. 38 indexed citations
17.
Sukhinin, G. I., А. В. Федосеев, С. Н. Антипов, О. Ф. Петров, & В. Е. Фортов. (2009). Effect of trapped ions and nonequilibrium electron-energy distribution function on dust-particle charging in gas discharges. Physical Review E. 79(3). 36404–36404. 29 indexed citations
18.
Sukhinin, G. I., et al.. (2009). Trapped ions and the shielding of dust particles in low-density non-equilibrium plasma of glow discharge. Journal of Physics A Mathematical and Theoretical. 42(21). 214027–214027. 12 indexed citations
19.
Sukhinin, G. I. & А. В. Федосеев. (2007). Charging of dust grains in a nonequilibrium plasma of a stratified glow discharge. Plasma Physics Reports. 33(12). 1023–1031. 17 indexed citations
20.
Sukhinin, G. I. & А. В. Федосеев. (2006). A self-consistent kinetic model of the effect of striation of low-pressure discharges in inert gases. High Temperature. 44(2). 157–165. 23 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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