S. A. Chobanyan
- Mathematical Physics top 5%
- Applied Mathematics top 5%
- Finance top 5%
- Statistics and Probability top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- V. TarieladzeN. N. VakhaniaJoel ZinnWojbor A. WoyczyńskiShlomo LeventalV. MandrekarAleksander WeronM.J. Chasco
- Topics
- Advanced Banach Space Theory (8 papers)Probability and Risk Models (6 papers)Approximation Theory and Sequence Spaces (4 papers)
- Journals
- Journal of the American Statistical AssociationThe Michigan Mathematical JournalJournal of Inequalities and Applications
- Partner nations
- United StatesGeorgiaRussia
In The Last Decade
S. A. Chobanyan
19 papers receiving 395 citations
Peers
Comparison fields: 5 of 50
- Mathematical Physics 270
- Applied Mathematics 188
- Finance 164
- Statistics and Probability 99
- Computational Theory and Mathematics 85
Countries citing papers authored by S. A. Chobanyan
This map shows the geographic impact of S. A. Chobanyan'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 S. A. Chobanyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. A. Chobanyan more than expected).
Fields of papers citing papers by S. A. Chobanyan
This network shows the impact of papers produced by S. A. Chobanyan. 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 S. A. Chobanyan. The network helps show where S. A. Chobanyan may publish in the future.
Co-authorship network of co-authors of S. A. Chobanyan
This figure shows the co-authorship network connecting the top 25 collaborators of S. A. Chobanyan. A scholar is included among the top collaborators of S. A. Chobanyan 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 S. A. Chobanyan. S. A. Chobanyan 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 12 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 91 | |
| 15 | 5 | |
| 16 | 317 | |
| 17 | 0 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | Banach-space-valued stationary processes and their linear prediction | 14 |
About S. A. Chobanyan
S. A. Chobanyan is a scholar working on Mathematical Physics, Applied Mathematics and Management Science and Operations Research, having authored 22 papers that have together received 481 indexed citations. Recurring topics across this work include Advanced Banach Space Theory (8 papers), Probability and Risk Models (6 papers) and Approximation Theory and Sequence Spaces (4 papers). The work is most often cited by research in Mathematical Physics (270 citations), Applied Mathematics (188 citations) and Finance (164 citations). S. A. Chobanyan has collaborated with scholars based in United States, Georgia and Russia. Frequent co-authors include V. Tarieladze, N. N. Vakhania, Joel Zinn, Wojbor A. Woyczyński, Shlomo Levental, V. Mandrekar, Aleksander Weron, M.J. Chasco and H. Salehi. Their work appears in journals such as Journal of the American Statistical Association, The Michigan Mathematical Journal and Journal of Inequalities and 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.