В. И. Быков

437 citations
73 papers · 299 · h-index 9

Impact in

Papers in

В. И. Быков

68 papers receiving 279 citations

Peers

В. И. Быков
Comparison fields: 5 of 54
  • Catalysis 53
  • Statistical and Nonlinear Physics 86
  • Theoretical Computer Science 4
  • Computer Networks and Communications 72
  • Physical and Theoretical Chemistry 27
Replace Martin Bernreuther with:
Martin Bernreuther Germany
A. Carati Italy
J.R. Bowen United States
Renato Feres United States
Isabelle Raspo France
N. Attig Germany
K. Esler United States
Usuf Middya United States
Gerhard Zumbusch Germany
Rich Hornung United States
В. И. Быков relative to Martin Bernreuther Germany Martin Bernreuther's profile →
Citations per field
00.5×4.5×
Martin Bernreuther · 1×
Citations per year

Countries citing papers authored by В. И. Быков

Since Specialization
Citations

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

Fields of papers citing papers by В. И. Быков

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by В. И. Быков. 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 В. И. Быков. The network helps show where В. И. Быков may publish in the future.

Co-authors

The 14 scholars most cited alongside В. И. Быков, 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 В. И. Быков Line = papers co-authored together В. И. Быков links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199825
2 197618
3 197617
4 198114
5 197912
6 198211
7 20018
8 19808
9 19768
10 19797
11 19817
12 20156
13 20076
14 19796
15 20016
16 19866
17 19975
18 19925
19 19955
20 19815

About В. И. Быков

В. И. Быков is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Catalysis, Computational Mechanics and Biomedical Engineering, having authored 73 papers that have together received 299 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (16 papers), Advanced Thermodynamics and Statistical Mechanics (12 papers), Catalysis and Oxidation Reactions (12 papers), Field-Flow Fractionation Techniques (7 papers), Chemical Thermodynamics and Molecular Structure (7 papers), Phase Equilibria and Thermodynamics (6 papers), Catalytic Processes in Materials Science (6 papers) and Quantum chaos and dynamical systems (5 papers). The work is most often cited by research in Catalysis (53 citations), Statistical and Nonlinear Physics (86 citations), Theoretical Computer Science (4 citations), Computer Networks and Communications (72 citations) and Physical and Theoretical Chemistry (27 citations). В. И. Быков has collaborated with scholars based in Russia, Bulgaria and Czechia. Frequent co-authors include G. S. Yablonskii, Alexander N. Gorban, А. М. Кытманов, А. Н. Иванова, A. N. Bocharov, А. Г. Мержанов, Л. А. Серафимов, Evgeny M. Mirkes, Lev Aizenberg and A. A. Ivanov. Their work appears in journals such as Chemical Engineering Science, Combustion Explosion and Shock Waves, Surface Science, Theoretical Foundations of Chemical Engineering and Doklady Physical Chemistry.

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