Vladimir V. Rybakov
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 1%
- Computer Networks and Communications
- Geometry and Topology
- Information Systems
- Co-authors
- L. L. MaksimovaSergei P. OdintsovRenate A. SchmidtJohn A. RuppA. R. LowryMichael HamburgerB. Shen‐TuА. П. Исаев
- Topics
- Logic, Reasoning, and Knowledge (68 papers)Advanced Algebra and Logic (39 papers)Logic, programming, and type systems (33 papers)
- Partner nations
- United KingdomRussiaTürkiye
In The Last Decade
Vladimir V. Rybakov
66 papers receiving 480 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 580
- Computational Theory and Mathematics 470
- Computer Networks and Communications 48
- Geometry and Topology 20
- Information Systems 12
Countries citing papers authored by Vladimir V. Rybakov
This map shows the geographic impact of Vladimir V. Rybakov'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 Vladimir V. Rybakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir V. Rybakov more than expected).
Fields of papers citing papers by Vladimir V. Rybakov
This network shows the impact of papers produced by Vladimir V. Rybakov. 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 Vladimir V. Rybakov. The network helps show where Vladimir V. Rybakov may publish in the future.
Co-authorship network of co-authors of Vladimir V. Rybakov
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir V. Rybakov. A scholar is included among the top collaborators of Vladimir V. Rybakov 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 Vladimir V. Rybakov. Vladimir V. Rybakov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Unification for Multi-Agent Temporal Logics with Universal Modality. | 1 |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | Logical Analysis for Chance Discovery in Multi-Agents' Environment. | 2 |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 16 | |
| 9 | Reasoning and inference rules in basic linear temporal logic BLTL | 2 |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 1 | |
| 13 | A note on globally admissible inference rules for modal and superintuitionistic logics | 0 |
| 14 | 9 | |
| 15 | 2 | |
| 16 | 21 | |
| 17 | 9 | |
| 18 | 10 | |
| 19 | 10 | |
| 20 | 53 |
About Vladimir V. Rybakov
Vladimir V. Rybakov is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Theoretical Computer Science, having authored 84 papers that have together received 640 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (68 papers), Advanced Algebra and Logic (39 papers) and Logic, programming, and type systems (33 papers). The work is most often cited by research in Computational Theory and Mathematics (470 citations), Artificial Intelligence (580 citations) and Geometry and Topology (20 citations). Vladimir V. Rybakov has collaborated with scholars based in United Kingdom, Russia and Türkiye. Frequent co-authors include L. L. Maksimova, Sergei P. Odintsov, Renate A. Schmidt, John A. Rupp, A. R. Lowry, Michael Hamburger, B. Shen‐Tu and А. П. Исаев. Their work appears in journals such as Information Sciences, Theoretical Computer Science and Seismological Research 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.