Yu. K. Kuznetsov

118 total papers · 812 total citations
61 papers, 485 citations indexed

About

Yu. K. Kuznetsov is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Electrical and Electronic Engineering. According to data from OpenAlex, Yu. K. Kuznetsov has authored 61 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Nuclear and High Energy Physics, 31 papers in Astronomy and Astrophysics and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Yu. K. Kuznetsov's work include Magnetic confinement fusion research (50 papers), Ionosphere and magnetosphere dynamics (29 papers) and Laser-Plasma Interactions and Diagnostics (11 papers). Yu. K. Kuznetsov is often cited by papers focused on Magnetic confinement fusion research (50 papers), Ionosphere and magnetosphere dynamics (29 papers) and Laser-Plasma Interactions and Diagnostics (11 papers). Yu. K. Kuznetsov collaborates with scholars based in Brazil, Russia and United States. Yu. K. Kuznetsov's co-authors include I. C. Nascimento, R. M. O. Galvão, Z. O. Guimarães-Filho, Iberê L. Caldas, J. H. F. Severo, Ricardo L. Viana, V. S. Tsypin, A. G. Elfimov, Jürgen Kurths and L. Ruchko and has published in prestigious journals such as Physics Letters A, Review of Scientific Instruments and Physics of Plasmas.

In The Last Decade

Yu. K. Kuznetsov

54 papers receiving 451 citations

Author Peers

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

Author Last Decade Papers Cites
Yu. K. Kuznetsov 398 252 92 73 67 61 485
Z. O. Guimarães-Filho 319 0.8× 220 0.9× 146 1.6× 45 0.6× 42 0.6× 51 509
Erich Maschke 343 0.9× 242 1.0× 35 0.4× 35 0.5× 56 0.8× 57 457
E. Spada 392 1.0× 284 1.1× 26 0.3× 78 1.1× 45 0.7× 39 534
E. Minardi 253 0.6× 162 0.6× 117 1.3× 29 0.4× 29 0.4× 75 407
L. Tramontin 366 0.9× 237 0.9× 16 0.2× 117 1.6× 95 1.4× 31 544
Akio Sanpei 252 0.6× 183 0.7× 33 0.4× 56 0.8× 64 1.0× 88 502
G. Fuchs 329 0.8× 136 0.5× 23 0.3× 118 1.6× 63 0.9× 31 417
В. Б. Лебедев 384 1.0× 336 1.3× 17 0.2× 99 1.4× 47 0.7× 39 495
E. Gravier 358 0.9× 244 1.0× 40 0.4× 69 0.9× 21 0.3× 45 418
O. C. Eldridge 325 0.8× 158 0.6× 76 0.8× 37 0.5× 39 0.6× 27 518

Countries citing papers authored by Yu. K. Kuznetsov

Since Specialization
Citations

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

Fields of papers citing papers by Yu. K. Kuznetsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu. K. Kuznetsov. 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 Yu. K. Kuznetsov. The network helps show where Yu. K. Kuznetsov may publish in the future.

Co-authorship network of co-authors of Yu. K. Kuznetsov

This figure shows the co-authorship network connecting the top 25 collaborators of Yu. K. Kuznetsov. A scholar is included among the top collaborators of Yu. K. Kuznetsov 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 Yu. K. Kuznetsov. Yu. K. Kuznetsov 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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