G. I. Sukhinin

856 total citations
76 papers, 698 citations indexed

About

G. I. Sukhinin is a scholar working on Atomic and Molecular Physics, and Optics, Astronomy and Astrophysics and Electrical and Electronic Engineering. According to data from OpenAlex, G. I. Sukhinin has authored 76 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Atomic and Molecular Physics, and Optics, 31 papers in Astronomy and Astrophysics and 29 papers in Electrical and Electronic Engineering. Recurrent topics in G. I. Sukhinin's work include Dust and Plasma Wave Phenomena (36 papers), Ionosphere and magnetosphere dynamics (30 papers) and Plasma Diagnostics and Applications (25 papers). G. I. Sukhinin is often cited by papers focused on Dust and Plasma Wave Phenomena (36 papers), Ionosphere and magnetosphere dynamics (30 papers) and Plasma Diagnostics and Applications (25 papers). G. I. Sukhinin collaborates with scholars based in Russia, Kazakhstan and Germany. G. I. Sukhinin's co-authors include А. В. Федосеев, M. V. Salnikov, О. Ф. Петров, S. A. Novopashin, О. А. Нерушев, В. Е. Фортов, С. Н. Антипов, Т. С. Рамазанов, R. G. Sharafutdinov and M. K. Dosbolayev and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Molecules and Journal of Physics D Applied Physics.

In The Last Decade

G. I. Sukhinin

69 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. I. Sukhinin Russia	15	499	316	248	206	83	76	698
L. G. D’yachkov Russia	15	649 1.3×	356 1.1×	157 0.6×	259 1.3×	22 0.3×	67	762
André Plain France	15	607 1.2×	254 0.8×	500 2.0×	161 0.8×	164 2.0×	25	914
R. K. Porteous United States	15	684 1.4×	365 1.2×	626 2.5×	222 1.1×	67 0.8×	18	1.0k
K. N. Dzhumagulova Kazakhstan	22	1.2k 2.4×	497 1.6×	222 0.9×	483 2.3×	20 0.2×	80	1.3k
Brian Shortt Netherlands	15	208 0.4×	201 0.6×	310 1.3×	30 0.1×	24 0.3×	88	759
Akifumi Yogo Japan	16	380 0.8×	76 0.2×	144 0.6×	220 1.1×	22 0.3×	99	956
Jason A. Young United States	15	529 1.1×	85 0.3×	169 0.7×	78 0.4×	16 0.2×	57	868
H. Anderson United States	17	241 0.5×	82 0.3×	520 2.1×	28 0.1×	88 1.1×	45	894
Yu. V. Medvedev Russia	12	180 0.4×	278 0.9×	142 0.6×	66 0.3×	12 0.1×	92	633
Т. С. Рамазанов Kazakhstan	12	572 1.1×	170 0.5×	67 0.3×	224 1.1×	14 0.2×	38	631

Countries citing papers authored by G. I. Sukhinin

Since Specialization

Citations

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

Fields of papers citing papers by G. I. Sukhinin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. I. Sukhinin. 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 G. I. Sukhinin. The network helps show where G. I. Sukhinin may publish in the future.

Co-authorship network of co-authors of G. I. Sukhinin

This figure shows the co-authorship network connecting the top 25 collaborators of G. I. Sukhinin. A scholar is included among the top collaborators of G. I. Sukhinin 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 G. I. Sukhinin. G. I. Sukhinin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

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.

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

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

Salnikov, M. V., А. В. Федосеев, & G. I. Sukhinin. (2019). Plasma potential around a single-dimensional dust particle chain placed in an external electric field. Journal of Physics Conference Series. 1393(1). 12022–12022. 1 indexed citations

Федосеев, А. В., et al.. (2019). Non‐local electron kinetics around the cloud of dust particles. Contributions to Plasma Physics. 59(6). 2 indexed citations

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

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

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

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

10.

Зайковский, А. В., et al.. (2017). Thermal conductivity of nanofluids based on hollow γ-Al2O3 nanoparticles, and the influence of interfacial thermal resistance. International Journal of Heat and Mass Transfer. 108. 1314–1319. 31 indexed citations

11.

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

12.

Novopashin, S. A., et al.. (2016). Laminar-turbulent transition in Hagen–Poiseuille flow of a real gas. Journal of Turbulence. 17(9). 870–877.

13.

Sukhinin, G. I., et al.. (2016). Thermal Conductivity of Suspensions Based on Core–Shell Particles. Journal of Heat Transfer. 138(6). 3 indexed citations

14.

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

15.

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

16.

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

17.

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

18.

Нерушев, О. А. & G. I. Sukhinin. (1995). Dynamics of carbon clusters in the production of fullerene. Technical Physics Letters. 21(7). 514–516. 2 indexed citations

19.

Sukhinin, G. I., et al.. (1994). Probabilities of rotational transitions under ionization into N2+ (B 2Σu+, v' = 0) state by electron impact. Chemical Physics. 189(3). 603–614. 12 indexed citations

20.

Sukhinin, G. I., et al.. (1982). Inverse distribution of populations of vibrational levels in the A2Sigma state of the HCl/+/ ion excited by electron impact. Soviet physics. Technical physics. 27. 1032–1034. 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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