С. А. Матвеев

880 total citations
63 papers, 626 citations indexed

About

С. А. Матвеев is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, С. А. Матвеев has authored 63 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atomic and Molecular Physics, and Optics, 13 papers in Electrical and Electronic Engineering and 10 papers in Condensed Matter Physics. Recurrent topics in С. А. Матвеев's work include Photonic and Optical Devices (8 papers), Coagulation and Flocculation Studies (7 papers) and Theoretical and Computational Physics (6 papers). С. А. Матвеев is often cited by papers focused on Photonic and Optical Devices (8 papers), Coagulation and Flocculation Studies (7 papers) and Theoretical and Computational Physics (6 papers). С. А. Матвеев collaborates with scholars based in Russia, United Kingdom and Tajikistan. С. А. Матвеев's co-authors include Chris Ballhaus, A. P. Smirnov, Е. Е. Тыртышников, Nikolai V. Brilliantov, E. E. Tyrtyshnikov, Dmitrii Shadrin, P. L. Krapivsky, Andrey Somov, Oleksii Hrinchuk and Mariia Pukalchik and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Scientific Reports.

In The Last Decade

С. А. Матвеев

56 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
С. А. Матвеев Russia 12 229 102 83 58 54 63 626
Behzad Kamgar-Parsi United States 15 73 0.3× 190 1.9× 14 0.2× 23 0.4× 128 2.4× 39 1.0k
Wei Zuo China 20 91 0.4× 89 0.9× 60 0.7× 5 0.1× 39 0.7× 63 1.4k
Jia-Jun Wu China 30 27 0.1× 61 0.6× 13 0.2× 99 1.7× 294 5.4× 145 2.7k
Xu Yang China 17 170 0.7× 42 0.4× 9 0.1× 30 0.5× 178 3.3× 108 986
G. Grasseau France 8 39 0.2× 52 0.5× 11 0.1× 292 5.0× 40 0.7× 10 800
Mark McGuinness New Zealand 21 143 0.6× 51 0.5× 5 0.1× 7 0.1× 45 0.8× 69 1.3k
Harald Kinzelbach Germany 13 96 0.4× 28 0.3× 17 0.2× 163 2.8× 32 0.6× 22 611
L. A. Taylor United States 19 509 2.2× 146 1.4× 10 0.1× 15 0.3× 12 0.2× 129 1.9k
Xiao‐Hua Li China 22 146 0.6× 16 0.2× 7 0.1× 19 0.3× 544 10.1× 113 1.4k
Xue-Feng Wu China 32 82 0.4× 15 0.1× 33 0.4× 4 0.1× 61 1.1× 194 3.6k

Countries citing papers authored by С. А. Матвеев

Since Specialization
Citations

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

Fields of papers citing papers by С. А. Матвеев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by С. А. Матвеев. 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 С. А. Матвеев. The network helps show where С. А. Матвеев may publish in the future.

Co-authorship network of co-authors of С. А. Матвеев

This figure shows the co-authorship network connecting the top 25 collaborators of С. А. Матвеев. A scholar is included among the top collaborators of С. А. Матвеев 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 С. А. Матвеев. С. А. Матвеев 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.
Матвеев, С. А., et al.. (2024). Адаптивные шаги по времени для агрегационно-фрагментационной кинетики. Vyčislitelʹnye metody i programmirovanie. 25(3). 347–356.
2.
Матвеев, С. А., et al.. (2023). Finite-size effects in addition and chipping processes. Physical review. E. 108(4). 44119–44119. 3 indexed citations
3.
Матвеев, С. А., et al.. (2023). Soil Dynamics and Crop Yield Modeling Using the MONICA Crop Simulation Model and Time Series Forecasting Methods. Agronomy. 13(8). 2185–2185. 1 indexed citations
4.
Матвеев, С. А., et al.. (2023). Low-rank nonnegative tensor approximation via alternating projections and sketching. Computational and Applied Mathematics. 42(2). 9 indexed citations
5.
Smirnov, A. P., et al.. (2022). Aggregation in non-uniform systems with advection and localized source. Journal of Physics A Mathematical and Theoretical. 55(26). 265001–265001. 3 indexed citations
6.
Tyukin, Ivan, et al.. (2022). Data-Driven Approach for Modeling Coagulation Kinetics. Computational Mathematics and Modeling. 33(3). 310–318. 2 indexed citations
7.
Матвеев, С. А., et al.. (2022). Direct simulation Monte Carlo for new regimes in aggregation-fragmentation kinetics. Journal of Computational Physics. 467. 111439–111439. 11 indexed citations
8.
9.
Shadrin, Dmitrii, et al.. (2021). Regulation-based probabilistic substance quality index and automated geo-spatial modeling for water quality assessment. Scientific Reports. 11(1). 23822–23822. 3 indexed citations
10.
Brilliantov, Nikolai V., et al.. (2020). Swirlonic state of active matter. Scientific Reports. 10(1). 16783–16783. 4 indexed citations
11.
Smirnov, A. P., et al.. (2020). Hybrid Parallelism in Finite Volume Based Algorithms in Application to Two-Dimensional Scattering Problem Setting. Computational Mathematics and Modeling. 31(3). 355–363. 1 indexed citations
12.
Матвеев, С. А., et al.. (2018). An efficient finite-difference method for solving Smoluchowski-type kinetic equations of aggregation with three-body collisions. Vyčislitelʹnye metody i programmirovanie. 261–269. 1 indexed citations
13.
Матвеев, С. А., et al.. (2018). Tensor decompositions for solving the equations of mathematical models of aggregation with multiple collisions of particles. Vyčislitelʹnye metody i programmirovanie. 390–404. 2 indexed citations
14.
Brilliantov, Nikolai V., et al.. (2018). Steady oscillations in aggregation-fragmentation processes. Physical review. E. 98(1). 12109–12109. 15 indexed citations
15.
Steenstra, E. S., Yu‐Ting Lin, Nachiketa Rai, et al.. (2017). The Effects of Carbon on Metal-Silicate Partitioning of Volatile Siderophile Elements and Core Formation in the Moon. LPI. 1054. 2 indexed citations
16.
Putter, R. de, E. S. Steenstra, Yu‐Ting Lin, et al.. (2017). Effects of fO2 and Si on Metal-Silicate Partitioning of Refractory and Moderately Volatile Siderophile Elements: Implications for the Si Content of Mercury's Core. LPI. 1055. 1 indexed citations
17.
Матвеев, С. А.. (2015). A parallel implementation of a fast method for solving the Smoluchowski-type kinetic equations of aggregation and fragmentation processes. Vyčislitelʹnye metody i programmirovanie. 360–368. 5 indexed citations
18.
Матвеев, С. А., et al.. (2014). Low temperature growth of the epitaxial Ge layers on Si(100) by Hot Wire Chemical Vapor Deposition. Journal of Physics Conference Series. 541. 12026–12026. 3 indexed citations
19.
Криницина, Т. П., et al.. (2012). Diffusion Mechanism of Exchange Bias Formation in Permalloy-Manganese Nanostructures at Thermo-Magnetic Treatment. Journal of Nanoscience and Nanotechnology. 12(9). 7562–7565.
20.
Матвеев, С. А. & Chris Ballhaus. (2002). Role of water in the origin of podiform chromitite deposits. Earth and Planetary Science Letters. 203(1). 235–243. 230 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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