V.A. Kudryashov

87 total papers · 575 total citations
46 papers, 471 citations indexed

About

V.A. Kudryashov is a scholar working on Electrical and Electronic Engineering, Surfaces, Coatings and Films and Biomedical Engineering. According to data from OpenAlex, V.A. Kudryashov has authored 46 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 18 papers in Surfaces, Coatings and Films and 18 papers in Biomedical Engineering. Recurrent topics in V.A. Kudryashov's work include Advancements in Photolithography Techniques (19 papers), Electron and X-Ray Spectroscopy Techniques (14 papers) and Nuclear Physics and Applications (7 papers). V.A. Kudryashov is often cited by papers focused on Advancements in Photolithography Techniques (19 papers), Electron and X-Ray Spectroscopy Techniques (14 papers) and Nuclear Physics and Applications (7 papers). V.A. Kudryashov collaborates with scholars based in Russia, Singapore and United Kingdom. V.A. Kudryashov's co-authors include Xiaocong Yuan, R. Kampmann, M. Haese-Seiller, Wai Chye Cheong, K. Radhakrishnan, Paul Lee, В. А. Грибков, Avinash K. Srivastava, Miao He and Nam Quoc Ngo and has published in prestigious journals such as Optics Letters, Optics Express and Surface Science.

In The Last Decade

V.A. Kudryashov

43 papers receiving 444 citations

Author Peers

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

Author						Papers	Cites
V.A. Kudryashov	171	163	119	115	82	46	471
J. P. Silverman	174 1.0×	242 1.5×	96 0.8×	74 0.6×	90 1.1×	32	519
R. Calder	121 0.7×	193 1.2×	139 1.2×	61 0.5×	55 0.7×	25	478
G. Stengl	131 0.8×	250 1.5×	110 0.9×	110 1.0×	59 0.7×	56	441
James A. Folta	132 0.8×	275 1.7×	100 0.8×	89 0.8×	131 1.6×	39	481
C. E. Reinhardt	159 0.9×	264 1.6×	108 0.9×	136 1.2×	49 0.6×	24	529
Benjawan Kjornrattanawanich	100 0.6×	254 1.6×	132 1.1×	143 1.2×	160 2.0×	37	520
P. Costa Pinto	152 0.9×	308 1.9×	74 0.6×	42 0.4×	91 1.1×	35	477
Takashi Imazono	106 0.6×	86 0.5×	72 0.6×	218 1.9×	163 2.0×	53	452
Alain Jody Corso	137 0.8×	240 1.5×	71 0.6×	39 0.3×	62 0.8×	86	503
E. Germagnoli	91 0.5×	67 0.4×	217 1.8×	94 0.8×	40 0.5×	46	538

Countries citing papers authored by V.A. Kudryashov

Since Specialization

Citations

This map shows the geographic impact of V.A. Kudryashov'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. Kudryashov 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. Kudryashov more than expected).

Fields of papers citing papers by V.A. Kudryashov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of V.A. Kudryashov. A scholar is included among the top collaborators of V.A. Kudryashov 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. Kudryashov. V.A. Kudryashov 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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