V. V. Gafiychuk

1.1k citations
43 papers · 850 indexed · h-index 16

V. V. Gafiychuk

41 papers receiving 799 citations

Peers

V. V. Gafiychuk
Comparison fields: 5 of 77
  • Modeling and Simulation 604
  • Numerical Analysis 247
  • Applied Mathematics 263
  • Statistical and Nonlinear Physics 152
  • Computer Networks and Communications 184
Replace Bohdan Datsko with:
Bohdan Datsko Ukraine
Hammad Khalil Pakistan
A‎. ‎K‎. Alomari Jordan
Adam Chmaj United States
Xin Lü China
James Nolen United States
Razvan C. Fetecau Canada
Messoud Efendiev Germany
Rudolf Scherer Germany
V. V. Gafiychuk relative to Bohdan Datsko Ukraine Bohdan Datsko's profile →
Citations per field
00.5×1.5×
Bohdan Datsko · 1×
Citations per year

Countries citing papers authored by V. V. Gafiychuk

Since Specialization
Citations

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

Fields of papers citing papers by V. V. Gafiychuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside V. V. Gafiychuk, 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 V. V. Gafiychuk Line = papers co-authored together V. V. Gafiychuk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20181
3
New type of instability in fractional reaction-diffusion systems
20170
4 201422
5 20121
6 201226
7 201126
8 200968
9 200824
10 200835
11 200875
12 2007199
13 200742
14 20063
15 200510
16 200416
17 20047
18 200129
19
Self-regulation in a Simple Model of Hierarchically Organized Markets.
20002
20 20003

About V. V. Gafiychuk

V. V. Gafiychuk is a scholar working on Modeling and Simulation, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 43 papers that have together received 850 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (22 papers), Fractional Differential Equations Solutions (21 papers), Mathematical and Theoretical Epidemiology and Ecology Models (18 papers), stochastic dynamics and bifurcation (4 papers), Complex Systems and Time Series Analysis (4 papers), Mathematical Biology Tumor Growth (3 papers), Chaos control and synchronization (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). The work is most often cited by research in Modeling and Simulation (604 citations), Numerical Analysis (247 citations) and Applied Mathematics (263 citations). V. V. Gafiychuk has collaborated with scholars based in Ukraine, United States and Russia. Frequent co-authors include Bohdan Datsko, Ihor Lubashevsky, Denis Blackmore, Yury Luchko, Igor Podlubný, Anatoliy K. Prykarpatsky, Alexander V. Priezzhev, Yu. L. Klimontovich, Yuri Luchko and Alexander Balinsky. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Surface Science and Journal of Theoretical Biology.

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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