Arshak Petrosyan
- Applied Mathematics top 1%
- Computational Theory and Mathematics top 1%
- Mathematical Physics top 5%
- Numerical Analysis top 10%
- Control and Systems Engineering
- Co-authors
- Henrik ShahgholianDonatella DanielliN. N. UraltsevaLuis CaffarelliKi-Ahm LeeJuan Luís VázquezEnrico ValdinociHerbert Koch
- Topics
- Nonlinear Partial Differential Equations (31 papers)Advanced Mathematical Modeling in Engineering (28 papers)Numerical methods in inverse problems (16 papers)
- Journals
- Communications on Pure and Applied MathematicsJournal of Mathematical Analysis and ApplicationsJournal of Differential Equations
- Partner nations
- United StatesSwedenItaly
In The Last Decade
Arshak Petrosyan
37 papers receiving 508 citations
Peers
Comparison fields: 5 of 38
- Applied Mathematics 485
- Computational Theory and Mathematics 421
- Mathematical Physics 219
- Numerical Analysis 42
- Control and Systems Engineering 35
Countries citing papers authored by Arshak Petrosyan
This map shows the geographic impact of Arshak Petrosyan'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 Arshak Petrosyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arshak Petrosyan more than expected).
Fields of papers citing papers by Arshak Petrosyan
This network shows the impact of papers produced by Arshak Petrosyan. 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 Arshak Petrosyan. The network helps show where Arshak Petrosyan may publish in the future.
Co-authorship network of co-authors of Arshak Petrosyan
This figure shows the co-authorship network connecting the top 25 collaborators of Arshak Petrosyan. A scholar is included among the top collaborators of Arshak Petrosyan 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 Arshak Petrosyan. Arshak Petrosyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 122 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 12 | |
| 13 | 15 | |
| 14 | 46 | |
| 15 | 13 | |
| 16 | 52 | |
| 17 | 1 | |
| 18 | 15 | |
| 19 | 5 | |
| 20 | 32 |
About Arshak Petrosyan
Arshak Petrosyan is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 40 papers that have together received 561 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (31 papers), Advanced Mathematical Modeling in Engineering (28 papers) and Numerical methods in inverse problems (16 papers). The work is most often cited by research in Applied Mathematics (485 citations), Computational Theory and Mathematics (421 citations) and Mathematical Physics (219 citations). Arshak Petrosyan has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Henrik Shahgholian, Donatella Danielli, N. N. Uraltseva, Luis Caffarelli, Ki-Ahm Lee, Juan Luís Vázquez, Enrico Valdinoci, Herbert Koch, Nicola Garofalo and Wenhui Shi. Their work appears in journals such as Communications on Pure and Applied Mathematics, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.
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.