M. Yu. Zotov

1.2k total citations
26 papers, 154 citations indexed

About

M. Yu. Zotov is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Atmospheric Science. According to data from OpenAlex, M. Yu. Zotov has authored 26 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Nuclear and High Energy Physics, 13 papers in Astronomy and Astrophysics and 5 papers in Atmospheric Science. Recurrent topics in M. Yu. Zotov's work include Astrophysics and Cosmic Phenomena (20 papers), Dark Matter and Cosmic Phenomena (17 papers) and Gamma-ray bursts and supernovae (6 papers). M. Yu. Zotov is often cited by papers focused on Astrophysics and Cosmic Phenomena (20 papers), Dark Matter and Cosmic Phenomena (17 papers) and Gamma-ray bursts and supernovae (6 papers). M. Yu. Zotov collaborates with scholars based in Russia, Italy and France. M. Yu. Zotov's co-authors include D.V. Gal’tsov, A. G. Zorin, E. E. Donets, П. А. Климов, B. A. Khrenov, Г. В. Куликов, Л. Ткачев, S. Sharakin, G. Garipov and M. I. Panasyuk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Physical review. D.

In The Last Decade

M. Yu. Zotov

22 papers receiving 145 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Yu. Zotov Russia 7 129 107 33 23 9 26 154
Congyao Zhang Germany 13 93 0.7× 282 2.6× 9 0.3× 7 0.3× 3 0.3× 21 311
C. E. Jackson United States 2 205 1.6× 338 3.2× 35 1.1× 9 0.4× 3 0.3× 3 355
Jorge F. Soriano United States 9 195 1.5× 129 1.2× 8 0.2× 9 0.4× 6 0.7× 29 232
V. de Souza Brazil 11 298 2.3× 165 1.5× 64 1.9× 4 0.2× 5 0.6× 48 320
Ismael Pessa United States 6 39 0.3× 203 1.9× 6 0.2× 8 0.3× 6 0.7× 12 217
Matthew C Smith United States 7 58 0.4× 298 2.8× 11 0.3× 13 0.6× 2 0.2× 14 317
S. Seunarine United States 6 187 1.4× 108 1.0× 10 0.3× 13 0.6× 22 209
Willem A. Baan Netherlands 9 74 0.6× 236 2.2× 6 0.2× 7 0.3× 5 0.6× 24 242
James Lequeux France 7 33 0.3× 189 1.8× 6 0.2× 18 0.8× 4 0.4× 53 212
Ivano Baronchelli Italy 8 31 0.2× 234 2.2× 7 0.2× 12 0.5× 11 1.2× 19 244

Countries citing papers authored by M. Yu. Zotov

Since Specialization
Citations

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

Fields of papers citing papers by M. Yu. Zotov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Yu. Zotov

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

All Works

20 of 20 papers shown
1.
Zotov, M. Yu.. (2024). Reconstruction of Energy and Arrival Directions of UHECRs Registered by Fluorescence Telescopes with Neural Networks. Moscow University Physics Bulletin. 79(S2). S712–S723.
2.
Zotov, M. Yu., et al.. (2023). A Neural Network Approach for Selecting Track-Like Events in Fluorescence Telescope Data. Bulletin of the Russian Academy of Sciences Physics. 87(7). 1049–1052.
3.
Fenu, Francesco, Sergei Sharakin, M. Yu. Zotov, et al.. (2021). Expected performance of the K-EUSO space-based observatory. Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021). 409–409. 2 indexed citations
4.
Fenu, Francesco, K. Shinozaki, M. Yu. Zotov, et al.. (2021). Estimation of the exposure of the TUS space-based cosmic ray observatory. Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021). 333–333. 2 indexed citations
5.
Khrenov, B. A., G. Garipov, M. Yu. Zotov, et al.. (2020). A Study of Atmospheric Radiation Flashes in the Near-Ultraviolet Region Using the TUS Detector aboard the Lomonosov Satellite. Cosmic Research. 58(5). 317–329. 3 indexed citations
6.
Zotov, M. Yu., et al.. (2020). The First Application of Neural Networks to the Analysis of the TUS Orbital Detector Data. Moscow University Physics Bulletin. 75(6). 657–664. 2 indexed citations
7.
Климов, П. А., B. A. Khrenov, G. Garipov, et al.. (2019). Remote Sensing of the Atmosphere by the Ultraviolet Detector TUS Onboard the Lomonosov Satellite. Remote Sensing. 11(20). 2449–2449. 15 indexed citations
8.
Fenu, Francesco, K. Shinozaki, H. Miyamoto, et al.. (2019). Simulations for the JEM-EUSO program with ESAF. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 252–252. 3 indexed citations
9.
Shinozaki, K., М. Бертаина, Francesco Fenu, et al.. (2019). Search for nuclearites by the satellite-based TUS air fluorescence detector. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 545–545. 2 indexed citations
10.
Климов, П. А., M. Yu. Zotov, B. A. Khrenov, et al.. (2017). Preliminary results from the TUS ultra-high energy cosmic ray orbital telescope: Registration of low-energy particles passing through the photodetector. Bulletin of the Russian Academy of Sciences Physics. 81(4). 407–409. 11 indexed citations
11.
Zotov, M. Yu., O. Kalashev, & М. С. Пширков. (2017). The current status of research in ultrahigh-energy cosmic ray physics: A brief review. Moscow University Physics Bulletin. 72(2). 144–156.
12.
Semikoz, D., P. Tinyakov, & M. Yu. Zotov. (2016). Detection prospects of the Telescope Array hotspot by space observatories. Physical review. D. 93(10). 2 indexed citations
13.
Panasyuk, M. I., П. А. Климов, B. A. Khrenov, et al.. (2016). Ultra high energy cosmic ray detector KLYPVE on board the Russian Segment of the ISS. Proceedings of The 34th International Cosmic Ray Conference — PoS(ICRC2015). 669–669. 9 indexed citations
14.
Khrenov, B. A., et al.. (2013). Sources of UHECRs in view of the TUS and JEM-EUSO experiments. Journal of Physics Conference Series. 409. 12100–12100. 1 indexed citations
15.
Zotov, M. Yu. & Г. В. Куликов. (2012). A search for small-scale anisotropy of PeV cosmic rays. Astronomy Letters. 38(11). 731–743. 2 indexed citations
16.
Zotov, M. Yu. & Г. В. Куликов. (2011). Three regions of an excessive flux of PeV cosmic rays. Bulletin of the Russian Academy of Sciences Physics. 75(3). 342–346. 1 indexed citations
17.
Zotov, M. Yu. & Г. В. Куликов. (2010). Region of enhanced flux of cosmic rays with PeV energies toward the pulsars PSR J1840+5640 and LAT PSR J1836+5925. Astronomy Letters. 36(9). 645–652. 1 indexed citations
18.
Zotov, M. Yu. & Г. В. Куликов. (2007). Search for sources of cosmic rays in the region of the knee: Part II. Bulletin of the Russian Academy of Sciences Physics. 71(4). 483–487. 1 indexed citations
19.
Gal’tsov, D.V., E. E. Donets, & M. Yu. Zotov. (1997). Internal structure of non-Abelian black holes and nature of singularity 1. CERN Bulletin. 13. 142. 1 indexed citations
20.
Donets, E. E., D.V. Gal’tsov, & M. Yu. Zotov. (1997). Internal structure of Einstein-Yang-Mills black holes. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 56(6). 3459–3465. 31 indexed citations

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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