Anatoly B. Bakushinsky
- Mathematical Physics top 2%
- Biomedical Engineering
- Mechanics of Materials top 10%
- Applied Mathematics top 5%
- Computational Mechanics top 10%
- Co-authors
- M. Yu. KokurinA. V. GoncharskyAlexandra SmirnovaA. S. LeonovTaufiquar KhanMichael V. KlibanovLarisa BeilinaHui Liu
- Topics
- Numerical methods in inverse problems (24 papers)Iterative Methods for Nonlinear Equations (7 papers)Statistical and numerical algorithms (6 papers)
- Partner nations
- RussiaUnited States
In The Last Decade
Anatoly B. Bakushinsky
26 papers receiving 569 citations
Peers
Comparison fields: 5 of 63
- Mathematical Physics 458
- Biomedical Engineering 195
- Mechanics of Materials 127
- Applied Mathematics 126
- Computational Mechanics 104
Countries citing papers authored by Anatoly B. Bakushinsky
This map shows the geographic impact of Anatoly B. Bakushinsky'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 Anatoly B. Bakushinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anatoly B. Bakushinsky more than expected).
Fields of papers citing papers by Anatoly B. Bakushinsky
This network shows the impact of papers produced by Anatoly B. Bakushinsky. 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 Anatoly B. Bakushinsky. The network helps show where Anatoly B. Bakushinsky may publish in the future.
Co-authorship network of co-authors of Anatoly B. Bakushinsky
This figure shows the co-authorship network connecting the top 25 collaborators of Anatoly B. Bakushinsky. A scholar is included among the top collaborators of Anatoly B. Bakushinsky 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 Anatoly B. Bakushinsky. Anatoly B. Bakushinsky 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 | 2 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 16 | |
| 11 | 3 | |
| 12 | Iterative Methods for Ill-Posed Problems: An Introduction | 7 |
| 13 | 26 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 7 | |
| 17 | 7 | |
| 18 | 37 | |
| 19 | 11 | |
| 20 | 0 |
About Anatoly B. Bakushinsky
Anatoly B. Bakushinsky is a scholar working on Mathematical Physics, Numerical Analysis and Applied Mathematics, having authored 29 papers that have together received 614 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (24 papers), Iterative Methods for Nonlinear Equations (7 papers) and Statistical and numerical algorithms (6 papers). The work is most often cited by research in Mathematical Physics (458 citations), Numerical Analysis (95 citations) and Applied Mathematics (126 citations). Anatoly B. Bakushinsky has collaborated with scholars based in Russia and United States. Frequent co-authors include M. Yu. Kokurin, A. V. Goncharsky, Alexandra Smirnova, A. S. Leonov, Taufiquar Khan, Michael V. Klibanov, Larisa Beilina and Hui Liu. Their work appears in journals such as Nonlinear Analysis, Inverse Problems and Numerical Functional Analysis and 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.