А. Е. Галашев

1.8k total citations
202 papers, 1.5k citations indexed

About

А. Е. Галашев is a scholar working on Materials Chemistry, Atmospheric Science and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, А. Е. Галашев has authored 202 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Materials Chemistry, 54 papers in Atmospheric Science and 52 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in А. Е. Галашев's work include Graphene research and applications (78 papers), Carbon Nanotubes in Composites (41 papers) and Advancements in Battery Materials (36 papers). А. Е. Галашев is often cited by papers focused on Graphene research and applications (78 papers), Carbon Nanotubes in Composites (41 papers) and Advancements in Battery Materials (36 papers). А. Е. Галашев collaborates with scholars based in Russia, United States and India. А. Е. Галашев's co-authors include Ksenia A. Ivanichkina, O. R. Rakhmanova, В. А. Полухин, Yu. P. Zaikov, Mikhail M. Maslov, Konstantin P. Katin, V. P. Skripov, А. V. Suzdaltsev, А. В. Исаков and Alberto Servida and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

А. Е. Галашев

192 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
А. Е. Галашев Russia	18	1.1k	712	232	220	154	202	1.5k
Andrea Fortini Germany	21	858 0.8×	211 0.3×	201 0.9×	82 0.4×	175 1.1×	36	1.2k
R. Fernández-Perea Spain	19	546 0.5×	148 0.2×	395 1.7×	109 0.5×	75 0.5×	59	1.1k
Horst Clauberg United States	16	141 0.1×	402 0.6×	481 2.1×	175 0.8×	119 0.8×	42	1.1k
Ching‐Hua Su United States	20	911 0.8×	872 1.2×	425 1.8×	238 1.1×	66 0.4×	121	1.5k
Yujun Shi Canada	20	453 0.4×	403 0.6×	388 1.7×	84 0.4×	78 0.5×	94	1.2k
Marie K. Mapes United States	5	781 0.7×	178 0.3×	51 0.2×	116 0.5×	65 0.4×	5	991
Masaru Aniya Japan	17	932 0.8×	318 0.4×	101 0.4×	156 0.7×	41 0.3×	126	1.1k
D. J. González Spain	17	841 0.7×	146 0.2×	317 1.4×	212 1.0×	233 1.5×	45	1.2k
Andreas Härtel Germany	20	875 0.8×	579 0.8×	170 0.7×	41 0.2×	26 0.2×	43	1.2k
Torsten Markus Germany	17	883 0.8×	386 0.5×	34 0.1×	232 1.1×	40 0.3×	58	1.2k

Countries citing papers authored by А. Е. Галашев

Since Specialization

Citations

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

Fields of papers citing papers by А. Е. Галашев

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of А. Е. Галашев

This figure shows the co-authorship network connecting the top 25 collaborators of А. Е. Галашев. A scholar is included among the top collaborators of А. Е. Галашев 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. Е. Галашев. А. Е. Галашев 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

Галашев, А. Е. & Yu. P. Zaikov. (2025). Computational study of the mechanisms for the spent nuclear fuel recovery by the electrolytic method. Electrochimica Acta. 518. 145823–145823. 1 indexed citations

Галашев, А. Е.. (2024). Prospects for using silicene as an anode for lithium-ion batteries. A review. Journal of Energy Storage. 93. 112281–112281. 7 indexed citations

Галашев, А. Е., et al.. (2023). First principle modeling of a silicene-aluminum composite anode for lithium ion batteries. Journal of Physics and Chemistry of Solids. 181. 111491–111491. 5 indexed citations

Галашев, А. Е., et al.. (2023). Ab Initio Study of the Electronic Properties of a Silicene Anode Subjected to Transmutation Doping. International Journal of Molecular Sciences. 24(3). 2864–2864. 6 indexed citations

Галашев, А. Е.. (2023). Computational Modeling of Doped 2D Anode Materials for Lithium-Ion Batteries. Materials. 16(2). 704–704. 7 indexed citations

Галашев, А. Е., et al.. (2023). Molecular Dynamics Simulation of Thin Silicon Carbide Films Formation by the Electrolytic Method. Materials. 16(8). 3115–3115. 2 indexed citations

Галашев, А. Е.. (2023). Computational Study of the Physical Properties of a High Temperature Molten Salt Mixture of FLiNaK and CeF3. Applied Sciences. 13(2). 1085–1085. 6 indexed citations

Redkin, Alexander, et al.. (2018). INFLUENCE OF ELECTROLYTE COMPOSITION AND OVERHEATING ON THE SIDELEDGE IN THE ALUMINUM CELL. Izvestiya Non-Ferrous Metallurgy. 24–30. 1 indexed citations

Галашев, А. Е.. (2014). Structural changes in water clusters during methane adsorption. Colloid Journal. 76(3). 300–307. 5 indexed citations

10.

Галашев, А. Е., et al.. (2014). Molecular dynamics simulation of copper removal from graphene by Bombardment with argon clusters. High Energy Chemistry. 48(2). 112–116. 16 indexed citations

11.

Галашев, А. Е.. (2013). Adsorption of ammonia by water clusters. Computer experiment. Colloid Journal. 75(2). 150–158. 3 indexed citations

12.

Галашев, А. Е. & O. R. Rakhmanova. (2013). Temperature changes of the optical properties of (SiO2) n , (GaAs) m , and (SiO2) n (GaAs) m nanoparticles: Computer experiment. High Temperature. 51(1). 97–105. 6 indexed citations

13.

Галашев, А. Е.. (2012). Molecular dynamics simulation of adsorption of ozone and nitrate ions by water clusters. High Temperature. 50(2). 204–213. 3 indexed citations

14.

Галашев, А. Е.. (1996). Vitrification and structural differences between metal glass, quasicrystal, and Frank-Kasper phases. Journal of Structural Chemistry. 37(1). 120–136. 3 indexed citations

15.

Галашев, А. Е.. (1988). Incorrectness of the self-consistent field approximation for the argon crystal. Journal of Structural Chemistry. 29(2). 319–321. 1 indexed citations

16.

Галашев, А. Е. & V. P. Skripov. (1986). Stability and structure of a two-component crystal using a molecular dynamics model. Journal of Structural Chemistry. 27(3). 407–412. 7 indexed citations

17.

Галашев, А. Е. & V. P. Skripov. (1985). Stability of lennard-jones crystal structures in the molecular dynamics model. Journal of Structural Chemistry. 26(5). 716–721. 6 indexed citations

18.

Галашев, А. Е. & V. P. Skripov. (1984). Investigation on the disordering of argon hexagonal closed packed (HCP) crystals by the method of statistical geometry. Journal of Structural Chemistry. 25(5). 734–740. 5 indexed citations

19.

Галашев, А. Е.. (1984). A study of the thermodynamic stability of a BCC (body-centered cubic) crystal of argon by the methods of molecular dynamics. Journal of Structural Chemistry. 25(3). 400–407. 1 indexed citations

20.

Галашев, А. Е. & V. P. Skripov. (1980). Molecular-dynamic study of the structures of liquid and crystalline argon. Journal of Structural Chemistry. 21(2). 158–162. 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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