I. P. Gavrilyuk
- Numerical Analysis top 1%
- Computational Theory and Mathematics top 1%
- Computational Mechanics top 2%
- Modeling and Simulation top 0.5%
- Applied Mathematics top 2%
- Co-authors
- В. Л. МакаровBoris N. KhoromskijWolfgang HackbuschA. N. TimokhaI. A. LukovskyMartin HermannDamir Z. ArovA.A. Samarskii
- Topics
- Differential Equations and Numerical Methods (31 papers)Numerical methods for differential equations (19 papers)Differential Equations and Boundary Problems (18 papers)
In The Last Decade
I. P. Gavrilyuk
74 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Numerical Analysis 638
- Computational Theory and Mathematics 389
- Computational Mechanics 380
- Modeling and Simulation 374
- Applied Mathematics 352
Countries citing papers authored by I. P. Gavrilyuk
This map shows the geographic impact of I. P. Gavrilyuk'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 I. P. Gavrilyuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. P. Gavrilyuk more than expected).
Fields of papers citing papers by I. P. Gavrilyuk
This network shows the impact of papers produced by I. P. Gavrilyuk. 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 I. P. Gavrilyuk. The network helps show where I. P. Gavrilyuk may publish in the future.
Co-authorship network of co-authors of I. P. Gavrilyuk
This figure shows the co-authorship network connecting the top 25 collaborators of I. P. Gavrilyuk. A scholar is included among the top collaborators of I. P. Gavrilyuk 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 I. P. Gavrilyuk. I. P. Gavrilyuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | Collocation methods for Volterra integral and related functional equations.breakdown → | 352 |
| 11 | 4 | |
| 12 | 45 | |
| 13 | 22 | |
| 14 | 11 | |
| 15 | 27 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | Analysis and numerical solution of integro-differential equations for diode structures based on graded-band-gap semiconductors with high internal quantum efficiency | 1 |
| 19 | 21 | |
| 20 | A mathematical model of a variable-band semiconductor diode with re-emission | 2 |
About I. P. Gavrilyuk
I. P. Gavrilyuk is a scholar working on Computational Mathematics, Numerical Analysis and Modeling and Simulation, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (31 papers), Numerical methods for differential equations (19 papers) and Differential Equations and Boundary Problems (18 papers). The work is most often cited by research in Computational Mathematics (138 citations), Numerical Analysis (638 citations) and Modeling and Simulation (374 citations). I. P. Gavrilyuk has collaborated with scholars based in Ukraine, Germany and Norway. Frequent co-authors include В. Л. Макаров, Boris N. Khoromskij, Wolfgang Hackbusch, A. N. Timokha, I. A. Lukovsky, Martin Hermann, Damir Z. Arov, A.A. Samarskii, Dmytro Sytnyk and Roman Chapko. Their work appears in journals such as Mathematics of Computation, International Journal of Solids and Structures and SIAM Journal on Numerical Analysis.
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.