Yu. M. Ermol’ev
- Computational Theory and Mathematics top 5%
- Numerical Analysis top 5%
- Management Science and Operations Research top 5%
- Artificial Intelligence
- Computational Mechanics
- Topics
- Advanced Optimization Algorithms Research (5 papers)Simulation Techniques and Applications (5 papers)Optimization and Packing Problems (4 papers)
- Cited by
- Numerical AnalysisComputational Theory and MathematicsManagement Science and Operations Research
- Journals
- Cybernetics and Systems AnalysisUSSR Computational Mathematics and Mathematical PhysicsCybernetics
In The Last Decade
Yu. M. Ermol’ev
34 papers receiving 291 citations
Peers
Comparison fields: 5 of 73
- Computational Theory and Mathematics 157
- Numerical Analysis 140
- Management Science and Operations Research 111
- Artificial Intelligence 62
- Computational Mechanics 58
Countries citing papers authored by Yu. M. Ermol’ev
This map shows the geographic impact of Yu. M. Ermol’ev'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 Yu. M. Ermol’ev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu. M. Ermol’ev more than expected).
Fields of papers citing papers by Yu. M. Ermol’ev
This network shows the impact of papers produced by Yu. M. Ermol’ev. 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 Yu. M. Ermol’ev. The network helps show where Yu. M. Ermol’ev may publish in the future.
Co-authorship network of co-authors of Yu. M. Ermol’ev
This figure shows the co-authorship network connecting the top 25 collaborators of Yu. M. Ermol’ev. A scholar is included among the top collaborators of Yu. M. Ermol’ev 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 Yu. M. Ermol’ev. Yu. M. Ermol’ev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 69 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 77 | |
| 14 | 6 | |
| 15 | 7 | |
| 16 | 14 | |
| 17 | 4 | |
| 18 | 9 | |
| 19 | 75 | |
| 20 | 3 |
About Yu. M. Ermol’ev
Yu. M. Ermol’ev is a scholar working on Numerical Analysis, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 39 papers that have together received 471 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (5 papers), Simulation Techniques and Applications (5 papers) and Optimization and Packing Problems (4 papers). The work is most often cited by research in Numerical Analysis (140 citations), Computational Theory and Mathematics (157 citations) and Management Science and Operations Research (111 citations). Yu. M. Ermol’ev has collaborated with scholars based in Austria, Ukraine and Norway. Frequent co-authors include V. I. Norkin, E. A. Nurminskii, N. Z. Shor, Stan Uryasev, P. S. Knopov, G. Fischer and И. Н. Коваленко. Their work appears in journals such as Cybernetics and Systems Analysis, USSR Computational Mathematics and Mathematical Physics and Cybernetics.
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.