Ivan Yu. Skvortsov

478 citations
41 papers · 353 indexed · h-index 11
Topics
Fiber-reinforced polymer composites (20 papers)Polymer crystallization and properties (13 papers)Epoxy Resin Curing Processes (8 papers)
Partner nations
RussiaKazakhstanIsrael

In The Last Decade

Ivan Yu. Skvortsov

38 papers receiving 343 citations

Peers

Ivan Yu. Skvortsov
Comparison fields: 5 of 36
  • Polymers and Plastics 178
  • Mechanical Engineering 158
  • Biomaterials 109
  • Biomedical Engineering 71
  • Fluid Flow and Transfer Processes 51
Replace Bao Wang with:
Bao Wang China
Abderrahim Maazouz France
J. J. Elmendorp Netherlands
Chris E. Scott United States
J.A. Brydson
Raj S. Davé United States
L.F.C.P. Lima Brazil
Simona Ceccia Italy
Jin‐Biao Bao China
Daniel Raps Germany
Ivan Yu. Skvortsov relative to Bao Wang China Bao Wang's profile →
Citations per field
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Bao Wang · 1×
Citations per year

Countries citing papers authored by Ivan Yu. Skvortsov

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Yu. Skvortsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Yu. Skvortsov. 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 Ivan Yu. Skvortsov. The network helps show where Ivan Yu. Skvortsov may publish in the future.

Co-authorship network of co-authors of Ivan Yu. Skvortsov

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Yu. Skvortsov. A scholar is included among the top collaborators of Ivan Yu. Skvortsov 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 Ivan Yu. Skvortsov. Ivan Yu. Skvortsov 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 0
2 0
3 9
4 2
5 2
6 2
7 8
8 4
9 2
10 9
11 6
12 1
13 8
14 7
15 13
16 13
17 9
18 8
19 13
20 18

About Ivan Yu. Skvortsov

Ivan Yu. Skvortsov is a scholar working on Polymers and Plastics, Mechanical Engineering and Fluid Flow and Transfer Processes, having authored 41 papers that have together received 353 indexed citations. Recurring topics across this work include Fiber-reinforced polymer composites (20 papers), Polymer crystallization and properties (13 papers) and Epoxy Resin Curing Processes (8 papers). The work is most often cited by research in Polymers and Plastics (178 citations), Fluid Flow and Transfer Processes (51 citations) and Biomaterials (109 citations). Ivan Yu. Skvortsov has collaborated with scholars based in Russia, Kazakhstan and Israel. Frequent co-authors include В. Г. Куличихин, A. Ya. Malkin, A. V. Subbotin, A. V. Semakov, М. В. Миронова, Igor Makarov, A. N. Semenov, Е. В. Черникова, I. I. Ponomarev and Arkadii Arinstein. Their work appears in journals such as Macromolecules, Polymer and Marine Pollution Bulletin.

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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