Anatoly Shalyto
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Industrial and Manufacturing Engineering top 5%
- Software top 5%
- Computer Networks and Communications
- Co-authors
- Valeriy VyatkinVladimir UlyantsevAndrey FilchenkovBoris SokolovGennady AlferovSandeep PatilMaxim BuzdalovFedor Tsarev
- Topics
- Formal Methods in Verification (21 papers)Software Testing and Debugging Techniques (10 papers)Machine Learning and Algorithms (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial InformaticsClinica Chimica Acta
In The Last Decade
Anatoly Shalyto
62 papers receiving 364 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 140
- Computational Theory and Mathematics 118
- Industrial and Manufacturing Engineering 77
- Software 59
- Computer Networks and Communications 57
Countries citing papers authored by Anatoly Shalyto
This map shows the geographic impact of Anatoly Shalyto'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 Anatoly Shalyto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anatoly Shalyto more than expected).
Fields of papers citing papers by Anatoly Shalyto
This network shows the impact of papers produced by Anatoly Shalyto. 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 Anatoly Shalyto. The network helps show where Anatoly Shalyto may publish in the future.
Co-authorship network of co-authors of Anatoly Shalyto
This figure shows the co-authorship network connecting the top 25 collaborators of Anatoly Shalyto. A scholar is included among the top collaborators of Anatoly Shalyto 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 Anatoly Shalyto. Anatoly Shalyto 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 | 18 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 24 | |
| 12 | 1 | |
| 13 | REDUNDANT ELECTRIC MOTOR DRIVE CONTROL UNIT DESIGN USING AUTOMATA-BASED APPROACH | 0 |
| 14 | 0 | |
| 15 | 3 | |
| 16 | 9 | |
| 17 | Classification of Structures Generated by One-Dimensional Binary Cellular Automata from a Point Embryo | 1 |
| 18 | UniMod: Method and Tool for Development of Reactive Object- Oriented Programs with Explicit States Emphasis | 7 |
| 19 | 7 | |
| 20 | 16 |
About Anatoly Shalyto
Anatoly Shalyto is a scholar working on Software, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 75 papers that have together received 396 indexed citations. Recurring topics across this work include Formal Methods in Verification (21 papers), Software Testing and Debugging Techniques (10 papers) and Machine Learning and Algorithms (9 papers). The work is most often cited by research in Software (59 citations), Industrial and Manufacturing Engineering (77 citations) and Computational Theory and Mathematics (118 citations). Anatoly Shalyto has collaborated with scholars based in Russia, Finland and Sweden. Frequent co-authors include Valeriy Vyatkin, Vladimir Ulyantsev, Andrey Filchenkov, Boris Sokolov, Gennady Alferov, Sandeep Patil, Maxim Buzdalov, Fedor Tsarev, Chen-Wei Yang and Cheng Pang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Informatics and Clinica Chimica Acta.
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.