I. V. Skrypnik
- Applied Mathematics top 2%
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 10%
- Numerical Analysis top 10%
- Computational Mechanics
- Co-authors
- Athanassios G. KartsatosFrancesco NicolosiGianni Dal MasoIgor I. SkrypnikH. GajewskiVitali LiskevichAdriana GarroniS L Sobolev
- Topics
- Advanced Mathematical Modeling in Engineering (34 papers)Nonlinear Partial Differential Equations (32 papers)Differential Equations and Boundary Problems (18 papers)
- Journals
- Transactions of the American Mathematical SocietyJournal of Differential EquationsNonlinear Analysis
- Partner nations
- UkraineUnited StatesItaly
In The Last Decade
I. V. Skrypnik
45 papers receiving 304 citations
Peers
Comparison fields: 5 of 23
- Applied Mathematics 275
- Computational Theory and Mathematics 268
- Mathematical Physics 99
- Numerical Analysis 38
- Computational Mechanics 33
Countries citing papers authored by I. V. Skrypnik
This map shows the geographic impact of I. V. Skrypnik'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. V. Skrypnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. V. Skrypnik more than expected).
Fields of papers citing papers by I. V. Skrypnik
This network shows the impact of papers produced by I. V. Skrypnik. 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. V. Skrypnik. The network helps show where I. V. Skrypnik may publish in the future.
Co-authorship network of co-authors of I. V. Skrypnik
This figure shows the co-authorship network connecting the top 25 collaborators of I. V. Skrypnik. A scholar is included among the top collaborators of I. V. Skrypnik 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. V. Skrypnik. I. V. Skrypnik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 19 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 17 | |
| 9 | 1 | |
| 10 | Asymptotic behavior of nonlinear Dirichlet problems in perforated domains | 0 |
| 11 | 6 | |
| 12 | 14 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 10 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 2 |
About I. V. Skrypnik
I. V. Skrypnik is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics, having authored 51 papers that have together received 343 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (34 papers), Nonlinear Partial Differential Equations (32 papers) and Differential Equations and Boundary Problems (18 papers). The work is most often cited by research in Applied Mathematics (275 citations), Computational Theory and Mathematics (268 citations) and Mathematical Physics (99 citations). I. V. Skrypnik has collaborated with scholars based in Ukraine, United States and Italy. Frequent co-authors include Athanassios G. Kartsatos, Francesco Nicolosi, Gianni Dal Maso, Igor I. Skrypnik, H. Gajewski, Vitali Liskevich, Adriana Garroni, S L Sobolev, Yu. A. Mitropol’skii and Vasilii S Vladimirov. Their work appears in journals such as Transactions of the American Mathematical Society, Journal of Differential Equations and Nonlinear 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.