Eugene Vecharynski
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Spectroscopy
- Computational Mechanics
- Co-authors
- Chao YangYousef SaadJohn E. PaskJulien LangouDmitry ZuevAnna I. KrylovRuipeng LiAmartya Banerjee
- Topics
- Matrix Theory and Algorithms (12 papers)Advanced NMR Techniques and Applications (5 papers)Electromagnetic Scattering and Analysis (5 papers)
- Journals
- Journal of Computational PhysicsJournal of Computational ChemistryJournal of Chemical Theory and Computation
- Partner nations
- United States
In The Last Decade
Eugene Vecharynski
16 papers receiving 255 citations
Peers
Comparison fields: 5 of 46
- Atomic and Molecular Physics, and Optics 171
- Computational Theory and Mathematics 96
- Materials Chemistry 51
- Spectroscopy 47
- Computational Mechanics 37
Countries citing papers authored by Eugene Vecharynski
This map shows the geographic impact of Eugene Vecharynski'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 Eugene Vecharynski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Vecharynski more than expected).
Fields of papers citing papers by Eugene Vecharynski
This network shows the impact of papers produced by Eugene Vecharynski. 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 Eugene Vecharynski. The network helps show where Eugene Vecharynski may publish in the future.
Co-authorship network of co-authors of Eugene Vecharynski
This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Vecharynski. A scholar is included among the top collaborators of Eugene Vecharynski 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 Eugene Vecharynski. Eugene Vecharynski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 42 | |
| 3 | 10 | |
| 4 | 14 | |
| 5 | 41 | |
| 6 | 16 | |
| 7 | 3 | |
| 8 | 34 | |
| 9 | 8 | |
| 10 | 7 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | 40 | |
| 14 | Preconditioned iterative methods for linear systems, eigenvalue and singular value problems | 3 |
| 15 | 9 | |
| 16 | 6 |
About Eugene Vecharynski
Eugene Vecharynski is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Spectroscopy, having authored 16 papers that have together received 267 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (12 papers), Advanced NMR Techniques and Applications (5 papers) and Electromagnetic Scattering and Analysis (5 papers). The work is most often cited by research in Computational Mathematics (4 citations), Computational Theory and Mathematics (96 citations) and Numerical Analysis (30 citations). Eugene Vecharynski has collaborated with scholars based in United States. Frequent co-authors include Chao Yang, Yousef Saad, John E. Pask, Julien Langou, Dmitry Zuev, Anna I. Krylov, Ruipeng Li, Amartya Banerjee, Wei Hu and Lin Lin. Their work appears in journals such as Journal of Computational Physics, Journal of Computational Chemistry and Journal of Chemical Theory and Computation.
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.