V.A. Elyukhin

107 total papers · 588 total citations
66 papers, 381 citations indexed

About

V.A. Elyukhin is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, V.A. Elyukhin has authored 66 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Materials Chemistry, 36 papers in Atomic and Molecular Physics, and Optics and 33 papers in Electrical and Electronic Engineering. Recurrent topics in V.A. Elyukhin's work include Semiconductor Quantum Structures and Devices (22 papers), GaN-based semiconductor devices and materials (17 papers) and Semiconductor materials and devices (16 papers). V.A. Elyukhin is often cited by papers focused on Semiconductor Quantum Structures and Devices (22 papers), GaN-based semiconductor devices and materials (17 papers) and Semiconductor materials and devices (16 papers). V.A. Elyukhin collaborates with scholars based in Mexico, Russia and United States. V.A. Elyukhin's co-authors include S. A. Nikishin, H. Temkin, R. Peña‐Sierra, R. Asomoza, Yu. Kudriavtsev, N. N. Faleev, Y. Qiu, G. A. Seryogin, Vladimir G. Antipov and M. Holtz and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Journal of Physics Condensed Matter.

In The Last Decade

V.A. Elyukhin

59 papers receiving 368 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
V.A. Elyukhin 224 202 188 167 65 66 381
I. N. Arsentyev 230 1.0× 242 1.2× 172 0.9× 126 0.8× 66 1.0× 51 398
Fengqi Liu 176 0.8× 191 0.9× 63 0.3× 125 0.7× 58 0.9× 52 386
N. M. Shmidt 213 1.0× 190 0.9× 303 1.6× 136 0.8× 105 1.6× 70 435
V. G. Mansurov 119 0.5× 132 0.7× 276 1.5× 192 1.1× 143 2.2× 81 397
G. Jungk 203 0.9× 242 1.2× 70 0.4× 167 1.0× 62 1.0× 53 400
Yuzaburoh Ban 202 0.9× 199 1.0× 218 1.2× 132 0.8× 107 1.6× 30 378
Tetsuya Nakamura 100 0.4× 282 1.4× 100 0.5× 113 0.7× 64 1.0× 59 426
A. Escobosa 172 0.8× 258 1.3× 139 0.7× 241 1.4× 91 1.4× 59 432
A.M. Keir 202 0.9× 244 1.2× 81 0.4× 126 0.8× 31 0.5× 30 353
Т. В. Малин 109 0.5× 147 0.7× 308 1.6× 209 1.3× 194 3.0× 80 430

Countries citing papers authored by V.A. Elyukhin

Since Specialization
Citations

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

Fields of papers citing papers by V.A. Elyukhin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V.A. Elyukhin. 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 V.A. Elyukhin. The network helps show where V.A. Elyukhin may publish in the future.

Co-authorship network of co-authors of V.A. Elyukhin

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

All Works

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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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