Vyacheslav Rybin

607 citations
53 papers · 427 · h-index 12

Impact in

Papers in

Vyacheslav Rybin

47 papers receiving 411 citations

Peers

Vyacheslav Rybin
Comparison fields: 5 of 56
  • Statistical and Nonlinear Physics 276
  • Computer Vision and Pattern Recognition 131
  • Computer Networks and Communications 128
  • Computer Graphics and Computer-Aided Design 10
  • Modeling and Simulation 10
Replace Kaijun Wu with:
Kaijun Wu China
Guofeng Mei Australia
Тимур Каримов Russia
Yujie Xu China
Matthew G. Earl United States
Behrouz Vaseghi Iran
Xiao‐Wen Zhao China
Ricardo Suyama Brazil
Chen Tian-Lun China
Vyacheslav Rybin relative to Kaijun Wu China Kaijun Wu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Vyacheslav Rybin

Since Specialization
Citations

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

Fields of papers citing papers by Vyacheslav Rybin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Vyacheslav Rybin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vyacheslav Rybin Line = papers co-authored together Vyacheslav Rybin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202139
2 202225
3 202125
4 202324
5 201924
6 202222
7 202219
8 202219
9 202114
10 201712
11 202012
12 202412
13 202411
14 202411
15 202111
16 20239
17 20248
18 20238
19 20258
20 20228

About Vyacheslav Rybin

Vyacheslav Rybin is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 53 papers that have together received 427 indexed citations. Recurring topics across this work include Chaos control and synchronization (27 papers), Nonlinear Dynamics and Pattern Formation (15 papers), Chaos-based Image/Signal Encryption (12 papers), Quantum chaos and dynamical systems (7 papers), Advanced Memory and Neural Computing (7 papers), Neural Networks and Applications (6 papers), stochastic dynamics and bifurcation (6 papers) and Neural Networks and Reservoir Computing (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (276 citations), Computer Vision and Pattern Recognition (131 citations), Computer Networks and Communications (128 citations), Computer Graphics and Computer-Aided Design (10 citations) and Modeling and Simulation (10 citations). Vyacheslav Rybin has collaborated with scholars based in Russia, Ireland and Greece. Frequent co-authors include Денис Бутусов, Тимур Каримов, Артур Каримов, Valerii Y. Ostrovskii, Александра Тутуева, Lazaros Moysis, Christos Volos, Erivelton G. Nepomuceno, Vyacheslav A. Arlyapov and Dmitrii Kaplun. Their work appears in journals such as Chaos Solitons & Fractals, International Journal of Bifurcation and Chaos, Applied Sciences, Nonlinear Dynamics and Sensors.

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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