M. V. Tokarev

421 total citations
36 papers, 227 citations indexed

About

M. V. Tokarev is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, M. V. Tokarev has authored 36 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Nuclear and High Energy Physics, 5 papers in Statistical and Nonlinear Physics and 3 papers in Artificial Intelligence. Recurrent topics in M. V. Tokarev's work include High-Energy Particle Collisions Research (34 papers), Particle physics theoretical and experimental studies (28 papers) and Quantum Chromodynamics and Particle Interactions (27 papers). M. V. Tokarev is often cited by papers focused on High-Energy Particle Collisions Research (34 papers), Particle physics theoretical and experimental studies (28 papers) and Quantum Chromodynamics and Particle Interactions (27 papers). M. V. Tokarev collaborates with scholars based in Russia, Czechia and United States. M. V. Tokarev's co-authors include I. Zborovský, G. Škoro, T. G. Dedovich, A. V. Alakhverdyants, A. Kechechyan, Т. Г. Дедович, E. Potrebenikova, O. V. Rogachevski, A. Aparin and David Maier and has published in prestigious journals such as Computer Physics Communications, Nuclear Physics A and Proceedings of the VLDB Endowment.

In The Last Decade

M. V. Tokarev

32 papers receiving 223 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. V. Tokarev Russia 9 216 33 32 19 16 36 227
I. Zborovský Czechia 9 225 1.0× 31 0.9× 57 1.8× 20 1.1× 29 1.8× 35 249
A. Dąbrowska Poland 8 130 0.6× 38 1.2× 14 0.4× 7 0.4× 4 0.3× 26 148
M. D. Azmi India 5 92 0.4× 3 0.1× 91 2.8× 18 0.9× 12 0.8× 9 122
R. Szwed Poland 7 96 0.4× 3 0.1× 15 0.5× 5 0.3× 6 0.4× 10 106
M. Waqas China 10 230 1.1× 22 0.7× 48 1.5× 5 0.3× 1 0.1× 31 241
Sadhana Dash India 7 103 0.5× 13 0.4× 13 0.4× 8 0.4× 1 0.1× 32 106
Yang-Ting Chien United States 11 453 2.1× 7 0.2× 7 0.2× 4 0.3× 21 479
Tobias Neumann United States 10 288 1.3× 2 0.1× 6 0.2× 5 0.3× 3 0.2× 14 299
A. Ballestrero Italy 6 54 0.3× 3 0.1× 12 0.4× 3 0.2× 9 0.6× 20 80
M. Schott Germany 7 243 1.1× 4 0.1× 6 0.2× 2 0.1× 2 0.1× 29 255

Countries citing papers authored by M. V. Tokarev

Since Specialization
Citations

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

Fields of papers citing papers by M. V. Tokarev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. V. Tokarev

This figure shows the co-authorship network connecting the top 25 collaborators of M. V. Tokarev. A scholar is included among the top collaborators of M. V. Tokarev 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. V. Tokarev. M. V. Tokarev 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.
Tokarev, M. V., et al.. (2023). Effective Entity Augmentation by Querying External Data Sources. Proceedings of the VLDB Endowment. 16(11). 3404–3417. 2 indexed citations
2.
Zborovský, I. & M. V. Tokarev. (2021). Self-similarity, fractality and entropy principle in collisions of hadrons and nuclei at Tevatron, RHIC and LHC. arXiv (Cornell University). 575–575.
3.
Дедович, Т. Г. & M. V. Tokarev. (2021). Criteria of Fractal Reconstruction and Suppressing Background Events with the SePaC Method. Physics of Particles and Nuclei Letters. 18(1). 93–106.
4.
Tokarev, M. V., et al.. (2019). Validation of z-scaling for negative particle production in Au + Au collisions from BES-I at STAR. Nuclear Physics A. 993. 121646–121646. 6 indexed citations
5.
Tokarev, M. V. & I. Zborovský. (2017). New indication on scaling properties of strangeness production in pp collisions at RHIC. International Journal of Modern Physics A. 32(5). 1750029–1750029. 5 indexed citations
6.
Tokarev, M. V. & I. Zborovský. (2015). Self-similarity of hadron production: z-scaling. Theoretical and Mathematical Physics. 184(3). 1350–1360. 3 indexed citations
7.
Tokarev, M. V. & I. Zborovský. (2013). Beam Energy Scan at RHIC and z-Scaling. Nuclear Physics B - Proceedings Supplements. 245. 231–238. 6 indexed citations
8.
Tokarev, M. V., T. G. Dedovich, & I. Zborovský. (2012). SELF-SIMILARITY OF JET PRODUCTION IN pp AND $p{\bar p}$ COLLISIONS AT RHIC, TEVATRON AND LHC. International Journal of Modern Physics A. 27(21). 1250115–1250115. 7 indexed citations
9.
Tokarev, M. V.. (2011). High-p T spectra of charged hadrons in Au + Au collisions at √s NN = 9.2 GeV in STAR. Physics of Atomic Nuclei. 74(5). 799–804. 10 indexed citations
10.
Tokarev, M. V., I. Zborovský, A. Kechechyan, & A. V. Alakhverdyants. (2011). Search for signatures of phase transition and critical point in heavy-ion collisions. Physics of Particles and Nuclei Letters. 8(6). 533–541. 10 indexed citations
11.
Tokarev, M. V. & I. Zborovský. (2010). Self-similarity of pion production in AA collisions at RHIC. Physics of Particles and Nuclei Letters. 7(3). 171–184. 8 indexed citations
12.
Tokarev, M. V.. (2009). Neutral-meson production in pp collisions at RHIC and QCD test of z scaling. Physics of Atomic Nuclei. 72(3). 541–551. 5 indexed citations
13.
Zborovský, I. & M. V. Tokarev. (2009). NEW PROPERTIES OF z-SCALING: FLAVOR INDEPENDENCE AND SATURATION AT LOW z. International Journal of Modern Physics A. 24(7). 1417–1442. 19 indexed citations
14.
Tokarev, M. V. & I. Zborovský. (2007). Multiplicity dependence of z scaling for identified hadrons. Physics of Atomic Nuclei. 70(7). 1294–1304. 6 indexed citations
15.
Zborovský, I. & M. V. Tokarev. (2007). Generalizedz-scaling in proton-proton collisions at high energies. Physical review. D. Particles, fields, gravitation, and cosmology. 75(9). 28 indexed citations
16.
Tokarev, M. V.. (2007). z-scaling in heavy ion collisions at the RHIC. Physics of Particles and Nuclei Letters. 4(5). 403–414. 6 indexed citations
17.
Tokarev, M. V., et al.. (2004). z-Scaling and high-p T particle production in hadron-hadron and hadron-nucleus collisions at high energies. Physics of Atomic Nuclei. 67(3). 564–573. 1 indexed citations
18.
Tokarev, M. V., et al.. (2001). A-DEPENDENCE OF Z-SCALING. International Journal of Modern Physics A. 16(7). 1281–1301. 11 indexed citations
19.
Tokarev, M. V., O. V. Rogachevski, & Т. Г. Дедович. (2000). Scaling features of π°-meson production in high-energyppcollisions. Journal of Physics G Nuclear and Particle Physics. 26(11). 1671–1696. 6 indexed citations
20.
Tokarev, M. V. & E. Potrebenikova. (1999). Study of new scaling of direct photon production in pp collisions at high energies using MC simulation. Computer Physics Communications. 117(3). 229–238. 4 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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