Roman G. Strongin
- Numerical Analysis top 2%
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Computational Mechanics top 10%
- Topics
- Advanced Optimization Algorithms Research (15 papers)Optimization and Variational Analysis (7 papers)Numerical Methods and Algorithms (4 papers)
In The Last Decade
Roman G. Strongin
23 papers receiving 611 citations
Peers
Comparison fields: 5 of 67
- Numerical Analysis 400
- Computational Theory and Mathematics 366
- Artificial Intelligence 175
- Control and Systems Engineering 131
- Computational Mechanics 84
Countries citing papers authored by Roman G. Strongin
This map shows the geographic impact of Roman G. Strongin'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 Roman G. Strongin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman G. Strongin more than expected).
Fields of papers citing papers by Roman G. Strongin
This network shows the impact of papers produced by Roman G. Strongin. 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 Roman G. Strongin. The network helps show where Roman G. Strongin may publish in the future.
Co-authorship network of co-authors of Roman G. Strongin
This figure shows the co-authorship network connecting the top 25 collaborators of Roman G. Strongin. A scholar is included among the top collaborators of Roman G. Strongin 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 Roman G. Strongin. Roman G. Strongin 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 | 3 | |
| 3 | 4 | |
| 4 | 108 | |
| 5 | 15 | |
| 6 | 18 | |
| 7 | Global Optimization with Non-Convex Constraints - Sequential and Parallel Algorithms (Nonconvex Optimization and its Applications Volume 45) (Nonconvex Optimization and Its Applications) | 61 |
| 8 | 161 | |
| 9 | 32 | |
| 10 | 1 | |
| 11 | Uniform estimates for the set of weakly effective points in multi-extremum multicriterion optimization problems | 2 |
| 12 | 28 | |
| 13 | 38 | |
| 14 | 3 | |
| 15 | 18 | |
| 16 | 12 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 1 |
About Roman G. Strongin
Roman G. Strongin is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Development, having authored 25 papers that have together received 648 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (15 papers), Optimization and Variational Analysis (7 papers) and Numerical Methods and Algorithms (4 papers). The work is most often cited by research in Numerical Analysis (400 citations), Computational Theory and Mathematics (366 citations) and Control and Systems Engineering (131 citations). Roman G. Strongin has collaborated with scholars based in Russia and Italy. Frequent co-authors include Yaroslav D. Sergeyev, Daniela Lera, Vladimir Grishagin, Victor Gergel and Konstantin Barkalov. Their work appears in journals such as Future Generation Computer Systems, Soft Computing and Journal of Global Optimization.
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.