S. A. Vasilyev

404 total citations
42 papers, 316 citations indexed

About

S. A. Vasilyev is a scholar working on Atmospheric Science, Materials Chemistry and Statistical and Nonlinear Physics. According to data from OpenAlex, S. A. Vasilyev has authored 42 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Atmospheric Science, 19 papers in Materials Chemistry and 17 papers in Statistical and Nonlinear Physics. Recurrent topics in S. A. Vasilyev's work include nanoparticles nucleation surface interactions (36 papers), Advanced Thermodynamics and Statistical Mechanics (17 papers) and Material Dynamics and Properties (10 papers). S. A. Vasilyev is often cited by papers focused on nanoparticles nucleation surface interactions (36 papers), Advanced Thermodynamics and Statistical Mechanics (17 papers) and Material Dynamics and Properties (10 papers). S. A. Vasilyev collaborates with scholars based in Russia, Germany and Belarus. S. A. Vasilyev's co-authors include V. M. Samsonov, I. V. Talyzin, М. И. Алымов, N.Yu. Sdobnyakov, V.S. Myasnichenko, Timofey Samsonov, Д. В. Иванов, Elena Romanovskaia and И. А. Каплунов and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Computational Materials Science.

In The Last Decade

S. A. Vasilyev

36 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. A. Vasilyev Russia 11 247 134 94 67 53 42 316
I. V. Talyzin Russia 12 265 1.1× 153 1.1× 96 1.0× 90 1.3× 72 1.4× 47 368
С. Л. Гафнер Russia 12 344 1.4× 283 2.1× 77 0.8× 124 1.9× 64 1.2× 66 457
A.S. Shirinyan Ukraine 8 263 1.1× 218 1.6× 98 1.0× 60 0.9× 71 1.3× 39 350
Yu. Ya. Gafner Russia 13 383 1.6× 313 2.3× 83 0.9× 141 2.1× 75 1.4× 79 513
Thomas Bachels Switzerland 7 175 0.7× 185 1.4× 72 0.8× 31 0.5× 151 2.8× 11 332
M. S. Omar Iraq 11 103 0.4× 271 2.0× 27 0.3× 52 0.8× 94 1.8× 35 369
Azat O. Tipeev Russia 11 215 0.9× 278 2.1× 46 0.5× 66 1.0× 27 0.5× 27 346
T. A. Cherepanova Latvia 10 151 0.6× 246 1.8× 34 0.4× 79 1.2× 45 0.8× 30 329
Shivam Srivastava India 12 35 0.1× 165 1.2× 28 0.3× 34 0.5× 27 0.5× 44 318
M. Uludoğan United States 9 141 0.6× 255 1.9× 10 0.1× 39 0.6× 79 1.5× 14 349

Countries citing papers authored by S. A. Vasilyev

Since Specialization
Citations

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

Fields of papers citing papers by S. A. Vasilyev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. A. Vasilyev

This figure shows the co-authorship network connecting the top 25 collaborators of S. A. Vasilyev. A scholar is included among the top collaborators of S. A. Vasilyev 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 S. A. Vasilyev. S. A. Vasilyev 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.
2.
Samsonov, V. M., et al.. (2023). On surface pre-melting of metallic nanoparticles: molecular dynamics study. Journal of Nanoparticle Research. 25(6). 13 indexed citations
3.
Samsonov, V. M., et al.. (2021). On the problem of stability/instability of bimetallic core-shell nanostructures: Molecular dynamics and thermodynamic simulations. Computational Materials Science. 199. 110710–110710. 17 indexed citations
4.
Samsonov, V. M., I. V. Talyzin, S. A. Vasilyev, & М. И. Алымов. (2020). On the Mechanisms of Coalescence of Nanodroplets and Sintering of Solid Particles. Colloid Journal. 82(5). 573–583. 7 indexed citations
5.
Talyzin, I. V., et al.. (2019). ON PHASE DIAGRAM OF Au - Si NANOALLOY: MOLECULAR DYNAMICS AND THERMODYNAMIC SIMULATION. SHILAP Revista de lepidopterología. 364–373. 4 indexed citations
6.
Vasilyev, S. A., et al.. (2019). MOLECULAR DYNAMICS STUDY OF SIZE DEPENDENCES OF MELTING AND CRYSTALLIZATION HEATS OF PLATINUM AND PALLADIUM NANOCLUSTERS. SHILAP Revista de lepidopterología. 436–442. 2 indexed citations
7.
Myasnichenko, V.S., et al.. (2019). COMPUTER MODELS OF DEALLOYING IN BINARY METAL NANOPARTICLES. SHILAP Revista de lepidopterología. 487–499. 2 indexed citations
8.
Sdobnyakov, N.Yu., et al.. (2019). TO THE PROBLEM OF STABILITY/INSTABILITY OF BIMETALLIC STRUCTURES Co (CORE)/ Au (SHELL) AND Au (CORE)/ Co (SHELL): ATOMISTIC SIMULATION. SHILAP Revista de lepidopterología. 520–534. 7 indexed citations
9.
Samsonov, V. M., I. V. Talyzin, S. A. Vasilyev, & М. И. Алымов. (2019). Mechanisms of Coalescence of Metallic Nanodroplets and Sintering of Metallic Nanoparticles. Doklady Physics. 64(12). 453–455. 3 indexed citations
10.
Talyzin, I. V., et al.. (2018). MOLECULAR DYNAMICS RESEARCH OF SIZE DEPENDENCE OF THE MELTING TEMPERATURE OF SILICON NANOPARTICLES. SHILAP Revista de lepidopterología. 618–627. 1 indexed citations
11.
Samsonov, V. M., et al.. (2018). Molecular dynamics and thermodynamic simulations of segregation phenomena in binary metal nanoparticles. Journal of Thermal Analysis and Calorimetry. 133(2). 1207–1217. 31 indexed citations
12.
Samsonov, V. M., et al.. (2018). A Comparative Analysis of the Size Dependence of the Melting and Crystallization Temperatures in Silver Nanoparticles via the Molecular Dynamics and Monte-Carlo Methods. Journal of Surface Investigation X-ray Synchrotron and Neutron Techniques. 12(6). 1206–1209. 15 indexed citations
13.
Samsonov, V. M., et al.. (2017). Molecular dynamics search for magic numbers for silver and copper clusters. Journal of Structural Chemistry. 58(7). 1377–1382.
14.
Samsonov, V. M., et al.. (2017). COMBINED APPLICATION OF ATOMISTIC AND THERMODYNAMIC SIMULATIONS TO INVESTIGATION OF SIZE DEPENDENCE OF THE MELTING TEMPERATURE OF METAL NANOPARTICLES. SHILAP Revista de lepidopterología. 411–421. 2 indexed citations
15.
Vasilyev, S. A., et al.. (2017). MOLECULAR DYNAMIC STUDY OF SIZE DEPENDENCES OF MELTING AND CRYSTALIZATION TEMPERATURES OF PLATINUM NANOCLUSTERS. SHILAP Revista de lepidopterología. 121–127. 1 indexed citations
16.
Samsonov, V. M., et al.. (2017). Molecular dynamics search for magic numbers of silver and copper clusters. Журнал структурной химии. 58(7). 1415–1420.
17.
Samsonov, V. M., et al.. (2016). On reasons for the hysteresis of melting and crystallization of nanoparticles. Journal of Experimental and Theoretical Physics Letters. 103(2). 94–99. 19 indexed citations
18.
Samsonov, V. M., et al.. (2014). Comparative molecular dynamics study of melting and crystallization of Ni and Au nanoclusters. Crystallography Reports. 59(4). 580–585. 9 indexed citations
19.
Vasilyev, S. A., et al.. (2013). Molecular Dynamics Simulation of Melting and Freezing of Gold Nanoclusters. 3 indexed citations
20.
Vasilyev, S. A., et al.. (1992). ESR line shape analysis for strongly distorted signals due to an intense paramagnetic sample: Application to spin polarized atomic hydrogen. Applied Magnetic Resonance. 3(6). 1061–1069. 7 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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