Yuri Latushkin
- Control and Systems Engineering top 1%
- Applied Mathematics top 1%
- Mathematical Physics top 1%
- Computational Theory and Mathematics top 1%
- Statistical and Nonlinear Physics top 2%
- Co-authors
- Carmen ChiconeStephen Montgomery-SmithTimothy W. RandolphRoland SchnaubeltYuri TomilovFritz GesztesyAnna GhazaryanStephen Schecter
- Topics
- Stability and Controllability of Differential Equations (34 papers)Advanced Mathematical Modeling in Engineering (31 papers)Spectral Theory in Mathematical Physics (19 papers)
- Journals
- Communications in Mathematical PhysicsJournal of Mathematical Analysis and ApplicationsArchive for Rational Mechanics and Analysis
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Yuri Latushkin
70 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Control and Systems Engineering 755
- Applied Mathematics 652
- Mathematical Physics 559
- Computational Theory and Mathematics 473
- Statistical and Nonlinear Physics 276
Countries citing papers authored by Yuri Latushkin
This map shows the geographic impact of Yuri Latushkin'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 Yuri Latushkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuri Latushkin more than expected).
Fields of papers citing papers by Yuri Latushkin
This network shows the impact of papers produced by Yuri Latushkin. 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 Yuri Latushkin. The network helps show where Yuri Latushkin may publish in the future.
Co-authorship network of co-authors of Yuri Latushkin
This figure shows the co-authorship network connecting the top 25 collaborators of Yuri Latushkin. A scholar is included among the top collaborators of Yuri Latushkin 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 Yuri Latushkin. Yuri Latushkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 0 | |
| 8 | 15 | |
| 9 | 19 | |
| 10 | 6 | |
| 11 | 14 | |
| 12 | 39 | |
| 13 | 0 | |
| 14 | 41 | |
| 15 | Evolution Semigroups in Dynamical Systems and Differential Equationsbreakdown → | 451 |
| 16 | 52 | |
| 17 | 44 | |
| 18 | 66 | |
| 19 | 17 | |
| 20 | 10 |
About Yuri Latushkin
Yuri Latushkin is a scholar working on Mathematical Physics, Applied Mathematics and Computational Theory and Mathematics, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (34 papers), Advanced Mathematical Modeling in Engineering (31 papers) and Spectral Theory in Mathematical Physics (19 papers). The work is most often cited by research in Applied Mathematics (652 citations), Mathematical Physics (559 citations) and Control and Systems Engineering (755 citations). Yuri Latushkin has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Carmen Chicone, Stephen Montgomery-Smith, Timothy W. Randolph, Roland Schnaubelt, Yuri Tomilov, Fritz Gesztesy, Anna Ghazaryan, Stephen Schecter, Jan Prüß and Milena Stanislavova. Their work appears in journals such as Communications in Mathematical Physics, Journal of Mathematical Analysis and Applications and Archive for Rational Mechanics and 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.