Nikolai Makarov
- Mathematical Physics top 2%
- Applied Mathematics top 2%
- Geometry and Topology top 2%
- Statistics and Probability top 2%
- Condensed Matter Physics top 10%
- Co-authors
- Håakan HedenmalmYacin AmeurLennart CarlesonStanislav SmirnovRafael del RíoBarry SimonPeter W. JonesAlexei Poltoratski
- Topics
- Analytic and geometric function theory (11 papers)Holomorphic and Operator Theory (9 papers)Mathematical Dynamics and Fractals (9 papers)
- Journals
- Communications in Mathematical PhysicsAnnals of MathematicsCommunications on Pure and Applied Mathematics
- Partner nations
- United StatesSwedenIndia
In The Last Decade
Nikolai Makarov
31 papers receiving 675 citations
Peers
Comparison fields: 5 of 49
- Mathematical Physics 494
- Applied Mathematics 283
- Geometry and Topology 274
- Statistics and Probability 173
- Condensed Matter Physics 137
Countries citing papers authored by Nikolai Makarov
This map shows the geographic impact of Nikolai Makarov'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 Nikolai Makarov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolai Makarov more than expected).
Fields of papers citing papers by Nikolai Makarov
This network shows the impact of papers produced by Nikolai Makarov. 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 Nikolai Makarov. The network helps show where Nikolai Makarov may publish in the future.
Co-authorship network of co-authors of Nikolai Makarov
This figure shows the co-authorship network connecting the top 25 collaborators of Nikolai Makarov. A scholar is included among the top collaborators of Nikolai Makarov 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 Nikolai Makarov. Nikolai Makarov 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 18 | |
| 9 | 23 | |
| 10 | 14 | |
| 11 | 26 | |
| 12 | 19 | |
| 13 | ON COEFFICIENTS, BOUNDARY SIZE AND H ¨ OLDER DOMAINS | 8 |
| 14 | 24 | |
| 15 | 29 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 9 | |
| 19 | 189 | |
| 20 | 4 |
About Nikolai Makarov
Nikolai Makarov is a scholar working on Mathematical Physics, Geometry and Topology and Applied Mathematics, having authored 35 papers that have together received 763 indexed citations. Recurring topics across this work include Analytic and geometric function theory (11 papers), Holomorphic and Operator Theory (9 papers) and Mathematical Dynamics and Fractals (9 papers). The work is most often cited by research in Mathematical Physics (494 citations), Geometry and Topology (274 citations) and Applied Mathematics (283 citations). Nikolai Makarov has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Håakan Hedenmalm, Yacin Ameur, Lennart Carleson, Stanislav Smirnov, Rafael del Río, Barry Simon, Peter W. Jones, Alexei Poltoratski, Svetlana Jitomirskaya and Christian Pommerenke. Their work appears in journals such as Communications in Mathematical Physics, Annals of Mathematics and Communications on Pure and Applied Mathematics.
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.