V.Yu. Gonchar

1.6k citations
33 papers · 1.0k · h-index 16

Impact in

Papers in

V.Yu. Gonchar

33 papers receiving 1.0k citations

Peers

V.Yu. Gonchar
Comparison fields: 5 of 72
  • Modeling and Simulation 387
  • Statistical and Nonlinear Physics 591
  • Mathematical Physics 142
  • Numerical Analysis 61
  • Condensed Matter Physics 103
Replace Alexander I. Saichev with:
Alexander I. Saichev Switzerland
A. A. Stanislavsky Ukraine
Sabir Umarov United States
Kiran M. Kolwankar India
Marcin Magdziarz Poland
V. Seshadri United States
Dirk Blömker Germany
R. Vilela Mendes Portugal
R. L. Stratonovich Russia
Ernesto P. Borges Brazil
V.Yu. Gonchar relative to Alexander I. Saichev Switzerland Alexander I. Saichev's profile →
Citations per field
00.5×1.5×2.5×
Alexander I. Saichev · 1×
Citations per year

Countries citing papers authored by V.Yu. Gonchar

Since Specialization
Citations

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

Fields of papers citing papers by V.Yu. Gonchar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside V.Yu. Gonchar, 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.Yu. Gonchar Line = papers co-authored together V.Yu. Gonchar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003109
2 2003108
3 2002106
4 2008105
5 2002100
6 201057
7 200755
8 200554
9 201246
10 200340
11 200537
12 200834
13 200027
14 200025
15 200723
16 200118
17 198715
18 200513
19 199112
20 20028

About V.Yu. Gonchar

V.Yu. Gonchar is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Computer Networks and Communications, Condensed Matter Physics and Economics and Econometrics, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (12 papers), Quantum chaos and dynamical systems (10 papers), stochastic dynamics and bifurcation (9 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Chaos control and synchronization (7 papers), Complex Systems and Time Series Analysis (6 papers), Theoretical and Computational Physics (5 papers) and Advanced Thermodynamics and Statistical Mechanics (5 papers). The work is most often cited by research in Modeling and Simulation (387 citations), Statistical and Nonlinear Physics (591 citations), Mathematical Physics (142 citations), Numerical Analysis (61 citations) and Condensed Matter Physics (103 citations). V.Yu. Gonchar has collaborated with scholars based in Ukraine, Israel and Germany. Frequent co-authors include Aleksei V. Chechkin, Ralf Metzler, J. Klafter, L. V. Tanatarov, Igor M. Sokolov, Nickolay Korabel, Rudolf Gorenflo, Oleksii Sliusarenko, D. del-Castillo-Negrete and Krzysztof Burnecki. Their work appears in journals such as Physics Letters A, Chaos Solitons & Fractals, Physica A Statistical Mechanics and its Applications, Europhysics Letters (EPL) and Open Systems & Information Dynamics.

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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