A. Sapronov

6.0k citations
16 papers · 90 · h-index 5

Impact in

Papers in

A. Sapronov

15 papers receiving 83 citations

Peers

A. Sapronov
Comparison fields: 5 of 18
  • Nuclear and High Energy Physics 82
  • Nuclear Energy and Engineering 1
  • Astronomy and Astrophysics 10
  • Hardware and Architecture 2
  • Artificial Intelligence 9
Replace Tongguang Cheng with:
Tongguang Cheng United States
L. Barzè Italy
H. Stenzel Germany
M. Cerutti United States
D. Krücker Germany
S. Bailey United Kingdom
M. Chrząszcz Poland
S. Frixione Switzerland
J. K. K. Liu United Kingdom
T. Riemann Germany
A. Sapronov relative to Tongguang Cheng United States Tongguang Cheng's profile →
Citations per field
00.5×10×16×
Tongguang Cheng · 1×
Citations per year

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-authors

The 25 scholars most cited alongside A. Sapronov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Sapronov Line = papers co-authored together A. Sapronov links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201520
2 201318
3 201215
4 201612
5 20204
6 20164
7 20193
8
Fast Luminosity Measurement and Beam Parameter Determination
20073
9 20152
10 20142
11 20082
12 20162
13
EXPECTED ELECTROMAGNETIC AND NEUTRON DOSES FOR THE BEAMCAL AT ILD
20101
14
Hybrid approach to design of storage attached network simulation systems
20181
15 20071
16 20230

About A. Sapronov

A. Sapronov is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Management Science and Operations Research, Astronomy and Astrophysics and Mechanics of Materials, having authored 16 papers that have together received 90 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (12 papers), High-Energy Particle Collisions Research (10 papers), Quantum Chromodynamics and Particle Interactions (9 papers), Advanced Data Storage Technologies (3 papers), Particle Detector Development and Performance (3 papers), Simulation Techniques and Applications (2 papers), Superconducting and THz Device Technology (1 paper) and Particle Accelerators and Free-Electron Lasers (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (82 citations), Nuclear Energy and Engineering (1 citation), Astronomy and Astrophysics (10 citations), Hardware and Architecture (2 citations) and Artificial Intelligence (9 citations). A. Sapronov has collaborated with scholars based in Russia, Poland and United Kingdom. Frequent co-authors include S. Bondarenko, L. V. Kalinovskaya, P. Christova, L. Rumyantsev, V. Kolesnikov, A. B. Arbuzov, D.Y. Bardin, R. Sadykov, W. von Schlippe and D.Y. Bardin. Their work appears in journals such as Computer Physics Communications, Journal of Experimental and Theoretical Physics Letters, Journal of Instrumentation, PeerJ Computer Science and Journal of High Energy Physics.

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.

Explore authors with similar magnitude of impact