V. Yu. Slyusarchuk

649 citations
86 papers · 474 indexed · h-index 13
Co-authors
N. A. Perestyuk
Topics
Differential Equations and Numerical Methods (45 papers)Nonlinear Differential Equations Analysis (40 papers)Differential Equations and Boundary Problems (37 papers)
Partner nations
UkraineUnited States

In The Last Decade

V. Yu. Slyusarchuk

52 papers receiving 335 citations

Peers

V. Yu. Slyusarchuk
Comparison fields: 5 of 22
  • Applied Mathematics 347
  • Numerical Analysis 245
  • Mathematical Physics 123
  • Control and Systems Engineering 90
  • Computational Theory and Mathematics 44
Replace Jaroslav Jaroš with:
Jaroslav Jaroš Slovakia
Maria Patrizia Pera Italy
Massimo Tarallo Italy
Franco Obersnel Italy
Juan R. Esteban Spain
M. N. Nkashama United States
C. Fabry Belgium
Manabu Naito Japan
José Ángel Cid Spain
Petru Jebelean Romania
V. Yu. Slyusarchuk relative to Jaroslav Jaroš Slovakia Jaroslav Jaroš's profile →
Citations per field
00.5×7.5×
Jaroslav Jaroš · 1×
Citations per year

Countries citing papers authored by V. Yu. Slyusarchuk

Since Specialization
Citations

This map shows the geographic impact of V. Yu. Slyusarchuk'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. Slyusarchuk 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. Slyusarchuk more than expected).

Fields of papers citing papers by V. Yu. Slyusarchuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Yu. Slyusarchuk

This figure shows the co-authorship network connecting the top 25 collaborators of V. Yu. Slyusarchuk. A scholar is included among the top collaborators of V. Yu. Slyusarchuk 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 V. Yu. Slyusarchuk. V. Yu. Slyusarchuk 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 1
3 0
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5 0
6 0
7 1
8 6
9 17
10 14
11 12
12 3
13 1
14 0
15 1
16 1
17 1
18 3
19 42
20 1

About V. Yu. Slyusarchuk

V. Yu. Slyusarchuk is a scholar working on Numerical Analysis, Applied Mathematics and Mathematical Physics, having authored 86 papers that have together received 474 indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (45 papers), Nonlinear Differential Equations Analysis (40 papers) and Differential Equations and Boundary Problems (37 papers). The work is most often cited by research in Numerical Analysis (245 citations), Applied Mathematics (347 citations) and Mathematical Physics (123 citations). V. Yu. Slyusarchuk has collaborated with scholars based in Ukraine and United States. Frequent co-authors include N. A. Perestyuk. Their work appears in journals such as Russian Mathematical Surveys, Acta Applicandae Mathematicae and Siberian Mathematical Journal.

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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