A. K. Alekseev
- Computational Mechanics top 5%
- Statistical and Nonlinear Physics top 5%
- Statistics, Probability and Uncertainty top 5%
- Numerical Analysis top 10%
- Atmospheric Science
- Co-authors
- I. M. NavonА. Е. БондаревDiana Alina BistrianF. FangJuan DuJiang ZhuZhendong LuoJianguo Du
- Topics
- Numerical methods in inverse problems (14 papers)Computational Fluid Dynamics and Aerodynamics (14 papers)Advanced Numerical Methods in Computational Mathematics (9 papers)
- Journals
- International Journal of Heat and Mass TransferComputer Methods in Applied Mechanics and EngineeringAIAA Journal
- Partner nations
- RussiaUnited StatesChina
In The Last Decade
A. K. Alekseev
36 papers receiving 335 citations
Peers
Comparison fields: 5 of 45
- Computational Mechanics 180
- Statistical and Nonlinear Physics 131
- Statistics, Probability and Uncertainty 67
- Numerical Analysis 61
- Atmospheric Science 49
Countries citing papers authored by A. K. Alekseev
This map shows the geographic impact of A. K. Alekseev'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 A. K. Alekseev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. K. Alekseev more than expected).
Fields of papers citing papers by A. K. Alekseev
This network shows the impact of papers produced by A. K. Alekseev. 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 A. K. Alekseev. The network helps show where A. K. Alekseev may publish in the future.
Co-authorship network of co-authors of A. K. Alekseev
This figure shows the co-authorship network connecting the top 25 collaborators of A. K. Alekseev. A scholar is included among the top collaborators of A. K. Alekseev 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 A. K. Alekseev. A. K. Alekseev 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 | 7 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 51 | |
| 9 | 20 | |
| 10 | 29 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 24 | |
| 19 | 6 | |
| 20 | 1 |
About A. K. Alekseev
A. K. Alekseev is a scholar working on Mathematical Physics, Computational Mechanics and Numerical Analysis, having authored 40 papers that have together received 349 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (14 papers), Computational Fluid Dynamics and Aerodynamics (14 papers) and Advanced Numerical Methods in Computational Mathematics (9 papers). The work is most often cited by research in Numerical Analysis (61 citations), Statistical and Nonlinear Physics (131 citations) and Statistics, Probability and Uncertainty (67 citations). A. K. Alekseev has collaborated with scholars based in Russia, United States and China. Frequent co-authors include I. M. Navon, А. Е. Бондарев, Diana Alina Bistrian, F. Fang, Juan Du, Jiang Zhu, Zhendong Luo, Jianguo Du, В. А. Галактионов and Н.С. Бахвалов. Their work appears in journals such as International Journal of Heat and Mass Transfer, Computer Methods in Applied Mechanics and Engineering and AIAA Journal.
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.