Svitlana Mayboroda
- Applied Mathematics top 1%
- Mathematical Physics top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 2%
- Condensed Matter Physics top 5%
- Co-authors
- Steve HofmannMarcel FilocheGuy DavidAlan McIntoshClaude WeisbuchMarco PiccardoYuh‐Renn WuJill Pipher
- Topics
- Advanced Harmonic Analysis Research (29 papers)Nonlinear Partial Differential Equations (26 papers)Advanced Mathematical Modeling in Engineering (23 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersCommunications in Mathematical Physics
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Svitlana Mayboroda
54 papers receiving 973 citations
Peers
Comparison fields: 5 of 52
- Applied Mathematics 550
- Mathematical Physics 381
- Atomic and Molecular Physics, and Optics 270
- Computational Theory and Mathematics 252
- Condensed Matter Physics 188
Countries citing papers authored by Svitlana Mayboroda
This map shows the geographic impact of Svitlana Mayboroda'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 Svitlana Mayboroda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Svitlana Mayboroda more than expected).
Fields of papers citing papers by Svitlana Mayboroda
This network shows the impact of papers produced by Svitlana Mayboroda. 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 Svitlana Mayboroda. The network helps show where Svitlana Mayboroda may publish in the future.
Co-authorship network of co-authors of Svitlana Mayboroda
This figure shows the co-authorship network connecting the top 25 collaborators of Svitlana Mayboroda. A scholar is included among the top collaborators of Svitlana Mayboroda 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 Svitlana Mayboroda. Svitlana Mayboroda 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 | 2 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 75 | |
| 8 | 5 | |
| 9 | 97 | |
| 10 | 15 | |
| 11 | 74 | |
| 12 | 2 | |
| 13 | 45 | |
| 14 | 17 | |
| 15 | 25 | |
| 16 | 2 | |
| 17 | 109 | |
| 18 | 31 | |
| 19 | 9 | |
| 20 | 5 |
About Svitlana Mayboroda
Svitlana Mayboroda is a scholar working on Acoustics and Ultrasonics, Applied Mathematics and Mathematical Physics, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Harmonic Analysis Research (29 papers), Nonlinear Partial Differential Equations (26 papers) and Advanced Mathematical Modeling in Engineering (23 papers). The work is most often cited by research in Applied Mathematics (550 citations), Mathematical Physics (381 citations) and Acoustics and Ultrasonics (37 citations). Svitlana Mayboroda has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Steve Hofmann, Marcel Filoche, Guy David, Alan McIntosh, Claude Weisbuch, Marco Piccardo, Yuh‐Renn Wu, Jill Pipher, Carlos E. Kenig and Douglas N. Arnold. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Communications in Mathematical Physics.
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.