Vassily Lyubetsky
- Molecular Biology
- Genetics top 10%
- Ecology top 10%
- Geometry and Topology top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- А. В. СеливерстовMikhail S. GelfandK. Yu. GorbunovVladimir KanoveiAlexey G. VitreschakAndrei A. MironovVladimir V. AleoshinYuri V. Panchin
- Topics
- Genomics and Phylogenetic Studies (32 papers)Advanced Topology and Set Theory (28 papers)Computability, Logic, AI Algorithms (25 papers)
- Cited by
- AgingGeneticsGeometry and Topology
- Partner nations
- RussiaUnited StatesTajikistan
In The Last Decade
Vassily Lyubetsky
102 papers receiving 799 citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 568
- Genetics 273
- Ecology 134
- Geometry and Topology 82
- Computational Theory and Mathematics 82
Countries citing papers authored by Vassily Lyubetsky
This map shows the geographic impact of Vassily Lyubetsky'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 Vassily Lyubetsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vassily Lyubetsky more than expected).
Fields of papers citing papers by Vassily Lyubetsky
This network shows the impact of papers produced by Vassily Lyubetsky. 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 Vassily Lyubetsky. The network helps show where Vassily Lyubetsky may publish in the future.
Co-authorship network of co-authors of Vassily Lyubetsky
This figure shows the co-authorship network connecting the top 25 collaborators of Vassily Lyubetsky. A scholar is included among the top collaborators of Vassily Lyubetsky 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 Vassily Lyubetsky. Vassily Lyubetsky 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 | 2 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 13 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 100 | |
| 18 | On the Set of Constructible Reals | 0 |
| 19 | 6 | |
| 20 | On One Approach to Modelling Intelligent Systems | 1 |
About Vassily Lyubetsky
Vassily Lyubetsky is a scholar working on Geometry and Topology, Theoretical Computer Science and Computational Theory and Mathematics, having authored 116 papers that have together received 816 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (32 papers), Advanced Topology and Set Theory (28 papers) and Computability, Logic, AI Algorithms (25 papers). The work is most often cited by research in Aging (20 citations), Genetics (273 citations) and Geometry and Topology (82 citations). Vassily Lyubetsky has collaborated with scholars based in Russia, United States and Tajikistan. Frequent co-authors include А. В. Селиверстов, Mikhail S. Gelfand, K. Yu. Gorbunov, Vladimir Kanovei, Alexey G. Vitreschak, Andrei A. Mironov, Vladimir V. Aleoshin, Yuri V. Panchin, Kirill V. Mikhailov and Leonid L. Moroz. Their work appears in journals such as BMC Bioinformatics, Cell Reports and BioEssays.
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.