Mikhail Posypkin
- Computational Theory and Mathematics top 5%
- Industrial and Manufacturing Engineering top 5%
- Numerical Analysis top 10%
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Co-authors
- Yu. G. EvtushenkoRoman KolpakovA. S. KossatchevLarisa RybakYaroslav D. SergeyevAlexander SemenovDaniela LeraAlexander K. Petrenko
- Topics
- Optimization and Packing Problems (24 papers)Advanced Optimization Algorithms Research (18 papers)Advanced Manufacturing and Logistics Optimization (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Mathematics and ComputationSoft Computing
- Partner nations
- RussiaItalyUnited States
In The Last Decade
Mikhail Posypkin
62 papers receiving 337 citations
Peers
Comparison fields: 5 of 49
- Computational Theory and Mathematics 114
- Industrial and Manufacturing Engineering 87
- Numerical Analysis 82
- Control and Systems Engineering 78
- Artificial Intelligence 65
Countries citing papers authored by Mikhail Posypkin
This map shows the geographic impact of Mikhail Posypkin'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 Mikhail Posypkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Posypkin more than expected).
Fields of papers citing papers by Mikhail Posypkin
This network shows the impact of papers produced by Mikhail Posypkin. 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 Mikhail Posypkin. The network helps show where Mikhail Posypkin may publish in the future.
Co-authorship network of co-authors of Mikhail Posypkin
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Posypkin. A scholar is included among the top collaborators of Mikhail Posypkin 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 Mikhail Posypkin. Mikhail Posypkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | Research and developing methods of solving engineering optimization problems for parallel structure robots | 0 |
| 7 | 3 | |
| 8 | 3 | |
| 9 | Analysis of the working area of the robot DexTAR - dexterous twin-arm robot | 1 |
| 10 | On the parallelization of dynamic programming method for knapsack problem | 1 |
| 11 | 2 | |
| 12 | Numerical method for approximating the solution set of a system of non-linear inequalities | 2 |
| 13 | 2 | |
| 14 | 8 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | 0 | |
| 18 | 26 | |
| 19 | 3 | |
| 20 | 3 |
About Mikhail Posypkin
Mikhail Posypkin is a scholar working on Numerical Analysis, Industrial and Manufacturing Engineering and Computer Graphics and Computer-Aided Design, having authored 72 papers that have together received 357 indexed citations. Recurring topics across this work include Optimization and Packing Problems (24 papers), Advanced Optimization Algorithms Research (18 papers) and Advanced Manufacturing and Logistics Optimization (9 papers). The work is most often cited by research in Numerical Analysis (82 citations), Software (41 citations) and Industrial and Manufacturing Engineering (87 citations). Mikhail Posypkin has collaborated with scholars based in Russia, Italy and United States. Frequent co-authors include Yu. G. Evtushenko, Roman Kolpakov, A. S. Kossatchev, Larisa Rybak, Yaroslav D. Sergeyev, Alexander Semenov, Daniela Lera, Alexander K. Petrenko, Igor Bychkov and Yury Solyaev. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Mathematics and Computation and Soft Computing.
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.