В. В. Сироткин

436 citations
65 papers · 323 indexed · h-index 10
Topics
Differential Equations and Numerical Methods (14 papers)Advanced Memory and Neural Computing (13 papers)Advanced Numerical Methods in Computational Mathematics (13 papers)
Partner nations
RussiaFinlandCanada

In The Last Decade

В. В. Сироткин

61 papers receiving 308 citations

Peers

В. В. Сироткин
Comparison fields: 5 of 36
  • Electrical and Electronic Engineering 186
  • Materials Chemistry 87
  • Numerical Analysis 71
  • Biomedical Engineering 69
  • Computational Mechanics 68
Replace Emmanuel Dubois with:
Emmanuel Dubois France
D. Tsvetanova Belgium
Ajey P. Jacob United States
M. Duelli Switzerland
S. Bance Austria
S. Iordănescu Romania
Jae Sub Oh South Korea
Kazuo Asaumi Japan
Y.H. Ha South Korea
В. В. Сироткин relative to Emmanuel Dubois France Emmanuel Dubois's profile →
Citations per field
00.5×10×20×30×35.5×
Emmanuel Dubois · 1×
Citations per year

Countries citing papers authored by В. В. Сироткин

Since Specialization
Citations

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

Fields of papers citing papers by В. В. Сироткин

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by В. В. Сироткин. 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 В. В. Сироткин. The network helps show where В. В. Сироткин may publish in the future.

Co-authorship network of co-authors of В. В. Сироткин

This figure shows the co-authorship network connecting the top 25 collaborators of В. В. Сироткин. A scholar is included among the top collaborators of В. В. Сироткин 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 В. В. Сироткин. В. В. Сироткин 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
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4 7
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8
The IMPRINT software: quantitative prediction of process parameters for successful nanoimprint lithography
2
9 1
10 6
11 2
12 8
13 3
14 11
15 4
16 4
17 9
18 11
19 1
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Determination of radiative view factors for rectangles of different sizes
5

About В. В. Сироткин

В. В. Сироткин is a scholar working on Numerical Analysis, Computational Mechanics and Electrical and Electronic Engineering, having authored 65 papers that have together received 323 indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (14 papers), Advanced Memory and Neural Computing (13 papers) and Advanced Numerical Methods in Computational Mathematics (13 papers). The work is most often cited by research in Numerical Analysis (71 citations), Nuclear Energy and Engineering (2 citations) and Computational Mechanics (68 citations). В. В. Сироткин has collaborated with scholars based in Russia, Finland and Canada. Frequent co-authors include N. A. Tulina, Igor Boglaev, Helmut Schift, E. B. Yakimov, L. S. Kokhanchik, А. А. Иванов, A. N. Rossolenko, J.D. Lavers, N. Kehagias and V. A. Tulin. Their work appears in journals such as Journal of Applied Physics, Journal of Physics Condensed Matter and Journal of Physics D Applied Physics.

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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