A. Sapronov

6.1k total citations
18 papers, 89 citations indexed

About

A. Sapronov is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, A. Sapronov has authored 18 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nuclear and High Energy Physics, 5 papers in Computer Networks and Communications and 3 papers in Management Science and Operations Research. Recurrent topics in A. Sapronov's work include Particle physics theoretical and experimental studies (12 papers), High-Energy Particle Collisions Research (10 papers) and Quantum Chromodynamics and Particle Interactions (9 papers). A. Sapronov is often cited by papers focused on Particle physics theoretical and experimental studies (12 papers), High-Energy Particle Collisions Research (10 papers) and Quantum Chromodynamics and Particle Interactions (9 papers). A. Sapronov collaborates with scholars based in Russia, United Kingdom and Germany. A. Sapronov's co-authors include S. Bondarenko, L. Rumyantsev, P. Christova, L. V. Kalinovskaya, V. Kolesnikov, A. Ustyuzhanin, A. B. Arbuzov, W. von Schlippe, Kenenbek Arzymatov and V. Belavin and has published in prestigious journals such as Computer Physics Communications, Journal of High Energy Physics and The European Physical Journal C.

In The Last Decade

A. Sapronov

17 papers receiving 81 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Sapronov Russia	5	74	10	8	7	6	18	89
M. Cerutti United States	6	118 1.6×	8 0.8×	6 0.8×	4 0.6×	4 0.7×	10	133
P. Gras France	4	91 1.2×	10 1.0×	6 0.8×	4 0.6×	4 0.7×	8	103
T. Todorov Switzerland	4	50 0.7×	10 1.0×	9 1.1×	9 1.3×	4 0.7×	7	64
Chiara Bissolotti United States	4	107 1.4×	8 0.8×	5 0.6×	4 0.6×	3 0.5×	5	118
K. Cho South Korea	5	47 0.6×	18 1.8×	15 1.9×	7 1.0×	4 0.7×	25	63
R. Zhang United States	5	62 0.8×	10 1.0×	4 0.5×	3 0.4×	4 0.7×	9	67
K. Reeves Germany	6	63 0.9×	4 0.4×	14 1.8×	4 0.6×	4 0.7×	11	73
K. Maeshima United States	5	28 0.4×	11 1.1×	13 1.6×	7 1.0×	2 0.3×	19	48
H. Berns United States	4	34 0.5×	7 0.7×	10 1.3×	7 1.0×	6 1.0×	7	50
S. Bailey United Kingdom	2	227 3.1×	10 1.0×	5 0.6×	9 1.3×	7 1.2×	2	235

Countries citing papers authored by A. Sapronov

Since Specialization

Citations

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

Fields of papers citing papers by A. Sapronov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Sapronov. 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 A. Sapronov. The network helps show where A. Sapronov may publish in the future.

Co-authorship network of co-authors of A. Sapronov

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Bondarenko, S., L. V. Kalinovskaya, & A. Sapronov. (2023). Monte-Carlo tool SANCphot for polarized γγ collision simulation. Computer Physics Communications. 294. 108929–108929.

Arzymatov, Kenenbek, et al.. (2020). SANgo: a storage infrastructure simulator with reinforcement learning support. PeerJ Computer Science. 6. e271–e271. 4 indexed citations

Sapronov, A., et al.. (2019). Tuning hybrid distributed storage system digital twins by reinforcement learning. Russian Agency for Digital Standardization. 18(4). 1–12. 5 indexed citations

Hushchyn, M., A. Sapronov, & A. Ustyuzhanin. (2019). Machine Learning Algorithms for Automatic Anomalies Detection in Data Storage Systems Operation. Russian Agency for Digital Standardization. 19(2). 23–32. 2 indexed citations

Bardin, D.Y., P. Christova, L. V. Kalinovskaya, et al.. (2019). Precision Description of Processes at Colliders in the SANC System. Physics of Particles and Nuclei. 50(4). 395–432. 2 indexed citations

Arzymatov, Kenenbek, et al.. (2018). Hybrid approach to design of storage attached network simulation systems. 9(11). 220–226. 1 indexed citations

Bertone, Valerio, S. Camarda, A. M. Cooper-Sarkar, et al.. (2016). A determination of m c (m c ) from HERA data using a matched heavy-flavor scheme. Journal of High Energy Physics. 2016(8). 4 indexed citations

Arbuzov, A. B., D.Y. Bardin, S. Bondarenko, et al.. (2016). Computer system SANC: its development and applications. Journal of Physics Conference Series. 762. 12062–12062. 1 indexed citations

Arbuzov, A. B., D.Y. Bardin, S. Bondarenko, et al.. (2016). Update of the MCSANC Monte Carlo integrator, v. 1.20. Journal of Experimental and Theoretical Physics Letters. 103(2). 131–136. 10 indexed citations

10.

Sapronov, A., et al.. (2015). HERAFitter - an open source QCD fit framework. Journal of Physics Conference Series. 608. 12051–12051. 2 indexed citations

11.

Camarda, S., P. Belov, A. M. Cooper-Sarkar, et al.. (2015). QCD analysis of W- and Z-boson production at Tevatron. The European Physical Journal C. 75(9). 20 indexed citations

12.

Sadykov, R., A. B. Arbuzov, D.Y. Bardin, et al.. (2014). SANC system and its applications for LHC. Journal of Physics Conference Series. 523. 12043–12043. 2 indexed citations

13.

Bondarenko, S. & A. Sapronov. (2013). NLO EW and QCD proton–proton cross section calculations with mcsanc-v1.01. Computer Physics Communications. 184(10). 2343–2350. 16 indexed citations

14.

Bardin, D.Y., S. Bondarenko, P. Christova, et al.. (2012). SANC integrator in the progress: QCD and EW contributions. Journal of Experimental and Theoretical Physics Letters. 96(5). 285–289. 13 indexed citations

15.

Coca, C., et al.. (2010). EXPECTED ELECTROMAGNETIC AND NEUTRON DOSES FOR THE BEAMCAL AT ILD. DESY (CERN, DESY, Fermilab, IHEP, and SLAC). 55. 687–706. 1 indexed citations

16.

Grah, C. & A. Sapronov. (2008). Beam parameter determination using beamstrahlung photons and incoherent pairs. Journal of Instrumentation. 3(10). P10004–P10004. 2 indexed citations

17.

Grah, Christian, K. Afanaciev, G. Chelkov, et al.. (2007). Radiation hard sensors for the beam calorimeter of the ILC. 2281–2284. 1 indexed citations

18.

Sapronov, A.. (2007). Fast Luminosity Measurement and Beam Parameter Determination. 3 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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