V. I. Garkusha

43 total papers · 455 total citations
14 papers, 70 citations indexed

About

V. I. Garkusha is a scholar working on Aerospace Engineering, Nuclear and High Energy Physics and Electrical and Electronic Engineering. According to data from OpenAlex, V. I. Garkusha has authored 14 papers receiving a total of 70 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Aerospace Engineering, 7 papers in Nuclear and High Energy Physics and 6 papers in Electrical and Electronic Engineering. Recurrent topics in V. I. Garkusha's work include Superconducting Materials and Applications (5 papers), Particle physics theoretical and experimental studies (4 papers) and Particle accelerators and beam dynamics (3 papers). V. I. Garkusha is often cited by papers focused on Superconducting Materials and Applications (5 papers), Particle physics theoretical and experimental studies (4 papers) and Particle accelerators and beam dynamics (3 papers). V. I. Garkusha collaborates with scholars based in Russia and United States. V. I. Garkusha's co-authors include Charles Garner, James E. Polk, Colleen Marrese, John Brophy, A. Abramov, Alexander D. Ryabov, J. Hylen, P. A. Semenov, В. В. Мочалов and S. B. Nurushev and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Physics Conference Series and Instruments and Experimental Techniques.

In The Last Decade

V. I. Garkusha

10 papers receiving 57 citations

Author Peers

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

Author						Papers	Cites
V. I. Garkusha	45	24	20	9	9	14	70
N. Bolte	31 0.7×	58 2.4×	22 1.1×	20 2.2×	10 1.1×	15	64
A. Horton	11 0.2×	48 2.0×	10 0.5×	10 1.1×	5 0.6×	10	73
K.P. Hollfeld	28 0.6×	75 3.1×	33 1.6×	22 2.4×	5 0.6×	12	88
M. Jonker	48 1.1×	50 2.1×	26 1.3×	3 0.3×	2 0.2×	15	78
G. Offermanns	19 0.4×	54 2.3×	25 1.3×	14 1.6×	3 0.3×	10	64
C. Rush	34 0.8×	67 2.8×	6 0.3×	3 0.3×	3 0.3×	16	90
H. Kawazome	16 0.4×	42 1.8×	12 0.6×	15 1.7×	5 0.6×	14	55
Wojtek Hajdas	54 1.2×	23 1.0×	12 0.6×	14 1.6×		16	82
J. Slepian	32 0.7×	13 0.5×	9 0.5×	5 0.6×	13 1.4×	18	66
M. Apollonio	29 0.6×	22 0.9×	22 1.1×	2 0.2×	7 0.8×	19	56

Countries citing papers authored by V. I. Garkusha

Since Specialization

Citations

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

Fields of papers citing papers by V. I. Garkusha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. I. Garkusha

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