Д. К. Белащенко

1.3k total citations
121 papers, 1.1k citations indexed

About

Д. К. Белащенко is a scholar working on Materials Chemistry, Geophysics and Atmospheric Science. According to data from OpenAlex, Д. К. Белащенко has authored 121 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Materials Chemistry, 43 papers in Geophysics and 37 papers in Atmospheric Science. Recurrent topics in Д. К. Белащенко's work include High-pressure geophysics and materials (42 papers), nanoparticles nucleation surface interactions (37 papers) and Thermodynamic and Structural Properties of Metals and Alloys (24 papers). Д. К. Белащенко is often cited by papers focused on High-pressure geophysics and materials (42 papers), nanoparticles nucleation surface interactions (37 papers) and Thermodynamic and Structural Properties of Metals and Alloys (24 papers). Д. К. Белащенко collaborates with scholars based in Russia, Australia and Zimbabwe. Д. К. Белащенко's co-authors include Oleg Ostrovski, Daria Smirnova, O. L. Kuskov, Vo Van Hoang, M. N. Rodnikova, Н. К. Балабаев, Mikhail I. Mendelev, А. А. Мирзоев, P.K. Hung and Nghia Tuan Duong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Alloys and Compounds and Journal of Non-Crystalline Solids.

In The Last Decade

Д. К. Белащенко

107 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Д. К. Белащенко Russia 18 618 383 355 298 158 121 1.1k
Toshio Itami Japan 17 613 1.0× 615 1.6× 150 0.4× 202 0.7× 106 0.7× 93 1.1k
D. J. Safarik United States 19 1.2k 1.9× 370 1.0× 145 0.4× 104 0.3× 118 0.7× 47 1.6k
R. Najafabadi United States 18 787 1.3× 368 1.0× 100 0.3× 343 1.2× 189 1.2× 60 1.2k
Y. Kajihara Japan 13 477 0.8× 109 0.3× 159 0.4× 76 0.3× 163 1.0× 68 731
J. Gryko United States 20 898 1.5× 161 0.4× 210 0.6× 172 0.6× 135 0.9× 50 1.5k
D. J. González Spain 17 841 1.4× 212 0.6× 200 0.6× 197 0.7× 176 1.1× 45 1.2k
C. Ronchi Germany 27 2.1k 3.3× 317 0.8× 203 0.6× 65 0.2× 104 0.7× 90 2.4k
Jürgen Horbach Germany 18 733 1.2× 249 0.7× 46 0.1× 158 0.5× 216 1.4× 35 983
S. N. Vaidya India 17 749 1.2× 162 0.4× 625 1.8× 45 0.2× 131 0.8× 61 1.3k
V. V. Brazhkin Russia 14 520 0.8× 105 0.3× 224 0.6× 40 0.1× 102 0.6× 41 747

Countries citing papers authored by Д. К. Белащенко

Since Specialization
Citations

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

Fields of papers citing papers by Д. К. Белащенко

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Д. К. Белащенко. 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 Д. К. Белащенко. The network helps show where Д. К. Белащенко may publish in the future.

Co-authorship network of co-authors of Д. К. Белащенко

This figure shows the co-authorship network connecting the top 25 collaborators of Д. К. Белащенко. A scholar is included among the top collaborators of Д. К. Белащенко 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 Д. К. Белащенко. Д. К. Белащенко 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.
Белащенко, Д. К.. (2023). The Relationship between Electrical Conductivity and Electromigration in Liquid Metals. SHILAP Revista de lepidopterología. 3(3). 405–424. 3 indexed citations
2.
Белащенко, Д. К.. (2023). Molecular Dynamics Model of Liquid Tin in the Scheme of the Embedded Atom Model. Russian Journal of Physical Chemistry A. 97(1). 216–226.
3.
Белащенко, Д. К.. (2023). Molecular Dynamic Modeling of Magnesium in the Scheme of the Embedded Atom Model. Russian Journal of Physical Chemistry A. 97(3). 501–513.
4.
Белащенко, Д. К.. (2020). Does the embedded atom model have predictive power?. Physics-Uspekhi. 63(12). 1161–1187. 13 indexed citations
5.
Белащенко, Д. К.. (2015). Hybrid potential of interparticle interaction and calculation of lithium melting curves using the molecular dynamics method. High Temperature. 53(5). 649–657. 5 indexed citations
6.
Белащенко, Д. К., et al.. (2011). Computer simulation of aluminum in the high-pressure range. High Temperature. 49(5). 656–666. 12 indexed citations
7.
Белащенко, Д. К., А. А. Мирзоев, & Oleg Ostrovski. (2011). Molecular Dynamics Modelling of Liquid Fe-C Alloys. High Temperature Materials and Processes. 30(4). 297–303. 14 indexed citations
8.
Белащенко, Д. К. & Daria Smirnova. (2011). Modeling the molecular dynamics of liquid metals at high pressures: Liquid potassium. Russian Journal of Physical Chemistry A. 85(11). 1908–1916. 16 indexed citations
9.
Белащенко, Д. К., et al.. (2010). Methods for the separation of fast and slow atomic motions as a basis for analysis of nanoparticle dynamic structure. Nanotechnologies in Russia. 5(11-12). 800–807. 6 indexed citations
10.
Белащенко, Д. К. & Oleg Ostrovski. (2004). Computer Simulation of Liquid Copper Tellurides and Silver Selenide from Diffraction Data. Inorganic Materials. 40(6). 576–588. 2 indexed citations
11.
Белащенко, Д. К., et al.. (2004). Computer Simulation of Amorphous Ni–Nb Alloys from Diffraction Data. Inorganic Materials. 40(5). 483–493. 4 indexed citations
12.
Белащенко, Д. К. & Oleg Ostrovski. (2004). Liquid Halides: Structure, Pair Potentials, Energy and Ion Charges. High Temperature Materials and Processes. 23(5-6). 313–328. 2 indexed citations
13.
Белащенко, Д. К., et al.. (2003). Computer simulation of the structure of liquid alkaline-earth metal chlorides based on diffraction data. Russian Journal of Physical Chemistry A. 77(12). 1972–1983. 1 indexed citations
14.
Белащенко, Д. К., et al.. (2002). Computer Simulation of Small Noncrystalline Silica Clusters. Inorganic Materials. 38(9). 917–921. 3 indexed citations
15.
Белащенко, Д. К.. (2002). The Simulation of Liquid Mercury by Diffraction Data and the Inference of Interparticle Potential. High Temperature. 40(2). 212–221. 9 indexed citations
16.
Белащенко, Д. К.. (1999). Diffusion mechanisms in disordered systems: computer simulation. Uspekhi Fizicheskih Nauk. 169(4). 361–361. 19 indexed citations
17.
Белащенко, Д. К.. (1998). New method of Fourier transformation of structure factors of a noncrystalline system. Crystallography Reports. 43(3). 362–367. 6 indexed citations
18.
Белащенко, Д. К.. (1998). On the ambiguity of reconstruction of the structure of a noncrystalline system from the known pair correlation function in the algorithms based on the reverse Monte Carlo method. Crystallography Reports. 43(5). 733–737. 1 indexed citations
19.
Белащенко, Д. К., et al.. (1998). Computer study of structure, thermodynamic, and electrical transport properties of Na3AlF6-Al2O3 and CaF2-Al2O3 melts. Metallurgical and Materials Transactions B. 29(1). 105–110. 17 indexed citations
20.
Белащенко, Д. К., et al.. (1992). Computational Study on Structure of Non-crystalline Oxides 2MeOSiO2 (Me=Mg, Ca, Sr, Ba, Fe).. ISIJ International. 32(9). 990–997. 12 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026