I. V. Talyzin

473 total citations
47 papers, 368 citations indexed

About

I. V. Talyzin is a scholar working on Atmospheric Science, Statistical and Nonlinear Physics and Materials Chemistry. According to data from OpenAlex, I. V. Talyzin has authored 47 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Atmospheric Science, 18 papers in Statistical and Nonlinear Physics and 16 papers in Materials Chemistry. Recurrent topics in I. V. Talyzin's work include nanoparticles nucleation surface interactions (41 papers), Advanced Thermodynamics and Statistical Mechanics (18 papers) and Material Dynamics and Properties (10 papers). I. V. Talyzin is often cited by papers focused on nanoparticles nucleation surface interactions (41 papers), Advanced Thermodynamics and Statistical Mechanics (18 papers) and Material Dynamics and Properties (10 papers). I. V. Talyzin collaborates with scholars based in Russia and United States. I. V. Talyzin's co-authors include V. M. Samsonov, S. A. Vasilyev, М. И. Алымов, N.Yu. Sdobnyakov, V.S. Myasnichenko, И. А. Каплунов, А. И. Колесников, Valentin Romanovski, Р. М. Гречишкин and Vladimir Ya. Molchanov and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Materials Science.

In The Last Decade

I. V. Talyzin

43 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. V. Talyzin Russia 12 265 153 96 90 72 47 368
S. A. Vasilyev Russia 11 247 0.9× 134 0.9× 94 1.0× 67 0.7× 53 0.7× 42 316
С. Л. Гафнер Russia 12 344 1.3× 283 1.8× 77 0.8× 124 1.4× 64 0.9× 66 457
Yu. Ya. Gafner Russia 13 383 1.4× 313 2.0× 83 0.9× 141 1.6× 75 1.0× 79 513
A.S. Shirinyan Ukraine 8 263 1.0× 218 1.4× 98 1.0× 60 0.7× 71 1.0× 39 350
Jianyu Yang China 13 344 1.3× 341 2.2× 56 0.6× 56 0.6× 193 2.7× 49 535
M. S. Omar Iraq 11 103 0.4× 271 1.8× 27 0.3× 52 0.6× 94 1.3× 35 369
R. Garrigos France 12 179 0.7× 180 1.2× 73 0.8× 43 0.5× 99 1.4× 22 353
T. A. Cherepanova Latvia 10 151 0.6× 246 1.6× 34 0.4× 79 0.9× 45 0.6× 30 329
Shivam Srivastava India 12 35 0.1× 165 1.1× 28 0.3× 34 0.4× 27 0.4× 44 318
Alejandra Xochitl Maldonado Pérez Mexico 9 121 0.5× 200 1.3× 7 0.1× 87 1.0× 115 1.6× 16 400

Countries citing papers authored by I. V. Talyzin

Since Specialization
Citations

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

Fields of papers citing papers by I. V. Talyzin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. V. Talyzin. 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 I. V. Talyzin. The network helps show where I. V. Talyzin may publish in the future.

Co-authorship network of co-authors of I. V. Talyzin

This figure shows the co-authorship network connecting the top 25 collaborators of I. V. Talyzin. A scholar is included among the top collaborators of I. V. Talyzin 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 I. V. Talyzin. I. V. Talyzin 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
2.
Samsonov, V. M., et al.. (2025). Chemical and structural segregation in Pt–Pd–Ni ternary nanosystems: Molecular dynamics simulation. Materials Chemistry and Physics. 340. 130827–130827. 2 indexed citations
3.
Sdobnyakov, N.Yu., et al.. (2024). Atomistic Simulation of Segregation in Ternary Pt–Pd–Ni Nanoalloy. Journal of Surface Investigation X-ray Synchrotron and Neutron Techniques. 18(6). 1388–1394. 2 indexed citations
4.
Samsonov, V. M., et al.. (2023). Nanothermodynamics on the Example of Metallic Nanoparticles. Журнал физической химии. 97(8). 1167–1177.
5.
Samsonov, V. M., et al.. (2023). Nanothermodynamics on the Example of Metallic Nanoparticles. Russian Journal of Physical Chemistry A. 97(8). 1751–1760. 3 indexed citations
6.
Samsonov, V. M., et al.. (2023). Puzzles of Surface Segregation in Binary Pt–Pd Nanoparticles: Molecular Dynamics and Thermodynamic Simulations. Metals. 13(7). 1269–1269. 15 indexed citations
7.
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
8.
Talyzin, I. V., et al.. (2022). IDENTIFICATION OF COMPLEX CORE-SHELL NANOSTRUCTURES FROM THE RADIAL DISTRIBUTIONS OF THE LOCAL DENSITY OF COMPONENTS. SHILAP Revista de lepidopterología. 307–320. 2 indexed citations
9.
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
10.
Samsonov, V. M., et al.. (2021). TO THE PROBLEM OF APPLICABILITY OF THE TAMMAN TEMPERATURE CONCEPT TO NANOSIZED OBJECTS: TO THE 160TH ANNIVERSARY OF GUSTAV TAMMAN. SHILAP Revista de lepidopterología. 503–512. 1 indexed citations
11.
Samsonov, V. M., et al.. (2020). Fluctuation criteria of applicability of the Gibbs ensemble method to nanosized objects. Journal of Physics Conference Series. 1658(1). 12046–12046. 2 indexed citations
12.
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
13.
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
14.
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
15.
16.
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
17.
Talyzin, I. V., et al.. (2018). SOLID STATE WETTING AND DYNAMICS OF SOLID SURFACE NANORELIEF. SHILAP Revista de lepidopterología. 83–92. 2 indexed citations
18.
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
19.
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
20.
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

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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