В. В. Макаров
- Computer Networks and Communications top 5%
- Cognitive Neuroscience top 5%
- Materials Chemistry
- Statistical and Nonlinear Physics top 2%
- Electrical and Electronic Engineering
- Co-authors
- Alexander E. HramovVladimir MaksimenkoNikita FrolovAlexander N. PisarchikА. А. КороновскийВ. Г. ПушинН. Н. КурановаAnastasiya E. Runnova
- Topics
- Shape Memory Alloy Transformations (20 papers)Nonlinear Dynamics and Pattern Formation (19 papers)Titanium Alloys Microstructure and Properties (14 papers)
- Cited by
- Statistical and Nonlinear PhysicsCognitive NeuroscienceComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaPhysical review. B, Condensed matterApplied Physics Letters
- Partner nations
- RussiaUnited KingdomSpain
In The Last Decade
В. В. Макаров
107 papers receiving 894 citations
Peers
Comparison fields: 5 of 90
- Computer Networks and Communications 301
- Cognitive Neuroscience 280
- Materials Chemistry 245
- Statistical and Nonlinear Physics 242
- Electrical and Electronic Engineering 155
Countries citing papers authored by В. В. Макаров
This map shows the geographic impact of В. В. Макаров'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 В. В. Макаров with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites В. В. Макаров more than expected).
Fields of papers citing papers by В. В. Макаров
This network shows the impact of papers produced by В. В. Макаров. 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 В. В. Макаров. The network helps show where В. В. Макаров may publish in the future.
Co-authorship network of co-authors of В. В. Макаров
This figure shows the co-authorship network connecting the top 25 collaborators of В. В. Макаров. A scholar is included among the top collaborators of В. В. Макаров 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 В. В. Макаров. В. В. Макаров 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 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 69 | |
| 13 | 48 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | 0 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | Resistivity and critical currents in ceramic Yb 2 Cu 3 O 7 placed in a magnetic field | 1 |
| 20 | 14 |
About В. В. Макаров
В. В. Макаров is a scholar working on Statistical and Nonlinear Physics, Materials Chemistry and Computer Networks and Communications, having authored 116 papers that have together received 915 indexed citations. Recurring topics across this work include Shape Memory Alloy Transformations (20 papers), Nonlinear Dynamics and Pattern Formation (19 papers) and Titanium Alloys Microstructure and Properties (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (242 citations), Cognitive Neuroscience (280 citations) and Computer Networks and Communications (301 citations). В. В. Макаров has collaborated with scholars based in Russia, United Kingdom and Spain. Frequent co-authors include Alexander E. Hramov, Vladimir Maksimenko, Nikita Frolov, Alexander N. Pisarchik, А. А. Короновский, В. Г. Пушин, Н. Н. Куранова, Anastasiya E. Runnova, Andrey Andreev and Syamal K. Dana. Their work appears in journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and Applied Physics Letters.
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.