Nikolay Bazhenov
- Computational Theory and Mathematics top 2%
- Artificial Intelligence
- Geometry and Topology top 10%
- Statistics and Probability top 10%
- Mathematical Physics
- Co-authors
- I. Sh. KalimullinAlexander MelnikovRod DowneyKeng Meng NgEkaterina FokinaС. С. ГончаровS. A. BadaevFrank Stephan
- Topics
- Computability, Logic, AI Algorithms (58 papers)semigroups and automata theory (37 papers)Advanced Topology and Set Theory (15 papers)
- Journals
- Theoretical Computer ScienceProceedings of the American Mathematical SocietyJournal of Symbolic Logic
- Partner nations
- RussiaKazakhstanNew Zealand
In The Last Decade
Nikolay Bazhenov
51 papers receiving 208 citations
Peers
Comparison fields: 5 of 15
- Computational Theory and Mathematics 209
- Artificial Intelligence 58
- Geometry and Topology 48
- Statistics and Probability 34
- Mathematical Physics 18
Countries citing papers authored by Nikolay Bazhenov
This map shows the geographic impact of Nikolay Bazhenov'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 Nikolay Bazhenov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolay Bazhenov more than expected).
Fields of papers citing papers by Nikolay Bazhenov
This network shows the impact of papers produced by Nikolay Bazhenov. 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 Nikolay Bazhenov. The network helps show where Nikolay Bazhenov may publish in the future.
Co-authorship network of co-authors of Nikolay Bazhenov
This figure shows the co-authorship network connecting the top 25 collaborators of Nikolay Bazhenov. A scholar is included among the top collaborators of Nikolay Bazhenov 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 Nikolay Bazhenov. Nikolay Bazhenov 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 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 0 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 7 | |
| 19 | 7 | |
| 20 | 7 |
About Nikolay Bazhenov
Nikolay Bazhenov is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Statistics and Probability, having authored 65 papers that have together received 221 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (58 papers), semigroups and automata theory (37 papers) and Advanced Topology and Set Theory (15 papers). The work is most often cited by research in Computational Theory and Mathematics (209 citations), Geometry and Topology (48 citations) and Statistics and Probability (34 citations). Nikolay Bazhenov has collaborated with scholars based in Russia, Kazakhstan and New Zealand. Frequent co-authors include I. Sh. Kalimullin, Alexander Melnikov, Rod Downey, Keng Meng Ng, Ekaterina Fokina, С. С. Гончаров, S. A. Badaev, Frank Stephan, Andrea Sorbi and Sanjay Jain. Their work appears in journals such as Theoretical Computer Science, Proceedings of the American Mathematical Society and Journal of Symbolic Logic.
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.