М. Л. Горбачук
- Mathematical Physics top 2%
- Applied Mathematics top 2%
- Computational Theory and Mathematics top 2%
- Numerical Analysis top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- В. И. ГорбачукAnatoly N. KochubeiLeonid VaînermanV. V. GorodetskiiYuriy MokrousovS L SobolevYu. A. Mitropol’skiiYu. M. Berezanskiĭ
- Topics
- Differential Equations and Boundary Problems (18 papers)Spectral Theory in Mathematical Physics (16 papers)Advanced Mathematical Modeling in Engineering (11 papers)
- Journals
- Russian Mathematical SurveysMathematische NachrichtenFunctional Analysis and Its Applications
- Partner nations
- UkraineCzechiaUnited States
In The Last Decade
М. Л. Горбачук
29 papers receiving 414 citations
Peers
Comparison fields: 5 of 27
- Mathematical Physics 432
- Applied Mathematics 295
- Computational Theory and Mathematics 288
- Numerical Analysis 75
- Statistical and Nonlinear Physics 47
Countries citing papers authored by М. Л. Горбачук
This map shows the geographic impact of М. Л. Горбачук'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 М. Л. Горбачук with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites М. Л. Горбачук more than expected).
Fields of papers citing papers by М. Л. Горбачук
This network shows the impact of papers produced by М. Л. Горбачук. 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 М. Л. Горбачук. The network helps show where М. Л. Горбачук may publish in the future.
Co-authorship network of co-authors of М. Л. Горбачук
This figure shows the co-authorship network connecting the top 25 collaborators of М. Л. Горбачук. A scholar is included among the top collaborators of М. Л. Горбачук 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 М. Л. Горбачук. М. Л. Горбачук is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 38 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 335 | |
| 9 | 25 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 8 | |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 1 |
About М. Л. Горбачук
М. Л. Горбачук is a scholar working on Mathematical Physics, Applied Mathematics and Numerical Analysis, having authored 35 papers that have together received 536 indexed citations. Recurring topics across this work include Differential Equations and Boundary Problems (18 papers), Spectral Theory in Mathematical Physics (16 papers) and Advanced Mathematical Modeling in Engineering (11 papers). The work is most often cited by research in Mathematical Physics (432 citations), Applied Mathematics (295 citations) and Computational Theory and Mathematics (288 citations). М. Л. Горбачук has collaborated with scholars based in Ukraine, Czechia and United States. Frequent co-authors include В. И. Горбачук, Anatoly N. Kochubei, Leonid Vaînerman, V. V. Gorodetskii, Yuriy Mokrousov, S L Sobolev, Yu. A. Mitropol’skii, Yu. M. Berezanskiĭ, Lyudvig Dmitrievich Faddeev and Damir Z. Arov. Their work appears in journals such as Russian Mathematical Surveys, Mathematische Nachrichten and Functional Analysis and Its Applications.
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.