V. B. Priezzhev

1.8k citations
86 papers · 1.2k indexed · h-index 15
Topics
Theoretical and Computational Physics (60 papers)Stochastic processes and statistical mechanics (44 papers)Random Matrices and Applications (16 papers)
Partner nations
RussiaArmeniaGermany

In The Last Decade

V. B. Priezzhev

83 papers receiving 1.1k citations

Peers

V. B. Priezzhev
Comparison fields: 5 of 96
  • Condensed Matter Physics 700
  • Mathematical Physics 474
  • Materials Chemistry 333
  • Statistics and Probability 166
  • Statistical and Nonlinear Physics 151
Replace Michael Wilkinson with:
Michael Wilkinson United Kingdom
Jin Min Kim South Korea
P. G. J. van Dongen Germany
F. D. A. Aarão Reis Brazil
Charles Radin United States
S. Lübeck Germany
J. F. Gouyet France
Reuven Zeitak Israel
Sang Bub Lee South Korea
P. M. Duxbury United States
V. B. Priezzhev relative to Michael Wilkinson United Kingdom Michael Wilkinson's profile →
Citations per field
00.5×3.9×
Michael Wilkinson · 1×
Citations per year

Countries citing papers authored by V. B. Priezzhev

Since Specialization
Citations

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

Fields of papers citing papers by V. B. Priezzhev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. B. Priezzhev

This figure shows the co-authorship network connecting the top 25 collaborators of V. B. Priezzhev. A scholar is included among the top collaborators of V. B. Priezzhev 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 V. B. Priezzhev. V. B. Priezzhev 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
#WorkIndexed citations
1 2
2 13
3 1
4 9
5 2
6 6
7 5
8 1
9
Kinetics of cluster growth in fullerene molecular solutions
5
10 50
11 14
12 1
13 16
14 9
15
Nucleation theory and applications
209
16 1
17 4
18 12
19 15
20
High energy neutron scattering and the Bose condensate in He(II)
3

About V. B. Priezzhev

V. B. Priezzhev is a scholar working on Condensed Matter Physics, Mathematical Physics and Statistics and Probability, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (60 papers), Stochastic processes and statistical mechanics (44 papers) and Random Matrices and Applications (16 papers). The work is most often cited by research in Condensed Matter Physics (700 citations), Mathematical Physics (474 citations) and Statistics and Probability (166 citations). V. B. Priezzhev has collaborated with scholars based in Russia, Armenia and Germany. Frequent co-authors include Jürn W. P. Schmelzer, G. Röpke, Ė. V. Ivashkevich, J.G. Brankov, Chin‐Kun Hu, Philippe Ruelle, S. Lübeck, Peter Grassberger, Deepak Dhar and Supriya Krishnamurthy. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and Langmuir.

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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