N.G. Gavrilov

49 total papers · 552 total citations
26 papers, 182 citations indexed

About

N.G. Gavrilov is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, N.G. Gavrilov has authored 26 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 13 papers in Aerospace Engineering and 9 papers in Biomedical Engineering. Recurrent topics in N.G. Gavrilov's work include Particle Accelerators and Free-Electron Lasers (19 papers), Particle accelerators and beam dynamics (13 papers) and Superconducting Materials and Applications (6 papers). N.G. Gavrilov is often cited by papers focused on Particle Accelerators and Free-Electron Lasers (19 papers), Particle accelerators and beam dynamics (13 papers) and Superconducting Materials and Applications (6 papers). N.G. Gavrilov collaborates with scholars based in Russia, United States and South Korea. N.G. Gavrilov's co-authors include Г.Н. Кулипанов, P.D. Vobly, Sung Oh Cho, Byung Cheol Lee, Young Uk Jeong, Н.А. Винокуров, V. V. Kubarev, S.F. Mikhailov, Byung Heon and Jongmin Lee and has published in prestigious journals such as Journal of Fluid Mechanics, IEEE Journal of Quantum Electronics and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

N.G. Gavrilov

26 papers receiving 175 citations

Author Peers

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

Author						Papers	Cites
N.G. Gavrilov	162	97	90	38	30	26	182
L. Rivkin	104 0.6×	80 0.8×	56 0.6×	43 1.1×	25 0.8×	26	186
F. T. Cole	123 0.8×	63 0.6×	119 1.3×	33 0.9×	31 1.0×	24	219
D. Lipka	114 0.7×	46 0.5×	79 0.9×	37 1.0×	29 1.0×	34	146
S.F. Mikhailov	151 0.9×	66 0.7×	110 1.2×	37 1.0×	67 2.2×	38	212
V.V. Parkhomchuk	76 0.5×	67 0.7×	77 0.9×	34 0.9×	18 0.6×	30	156
T. Ellison	111 0.7×	91 0.9×	114 1.3×	34 0.9×	9 0.3×	27	166
S. Takeuchi	113 0.7×	36 0.4×	77 0.9×	43 1.1×	34 1.1×	29	181
D. Bolshukhin	131 0.8×	77 0.8×	31 0.3×	38 1.0×	24 0.8×	23	230
R.K. Jobe	73 0.5×	59 0.6×	48 0.5×	16 0.4×	27 0.9×	27	129
G.Ya. Kurkin	80 0.5×	66 0.7×	40 0.4×	26 0.7×	32 1.1×	27	134

Countries citing papers authored by N.G. Gavrilov

Since Specialization

Citations

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

Fields of papers citing papers by N.G. Gavrilov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N.G. Gavrilov

This figure shows the co-authorship network connecting the top 25 collaborators of N.G. Gavrilov. A scholar is included among the top collaborators of N.G. Gavrilov 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 N.G. Gavrilov. N.G. Gavrilov 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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