Daniil Ryabko
Impact in
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- Computability, Logic, AI Algorithms
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- Machine Learning and Algorithms
- Algorithms and Data Compression
Papers in
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- Machine Learning and Algorithms 8
- Algorithms and Data Compression 7
- Neural Networks and Applications 4
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- Computability, Logic, AI Algorithms 9
- Co-authors
- Boris Ryabko (8 shared papers)Marcus Hütter (4 shared papers)Jürgen Schmidhuber (1 shared paper)Rémi Munos (1 shared paper)Ronald Ortner (1 shared paper)Peter Auer (1 shared paper)Zhanna Reznikova (1 shared paper)Alessandro Lazaric (1 shared paper)
- Journals
- Theoretical Computer Science (3 papers)Applied Mathematics Letters (2 papers)Journal of Machine Learning Research (2 papers)IEEE Transactions on Information Theory (2 papers)Test (1 paper)
- Partner nations
- FranceSwitzerlandRussia
In The Last Decade
Daniil Ryabko
24 papers receiving 120 citations
Peers
Comparison fields: 5 of 35
- Computational Theory and Mathematics 44
- Artificial Intelligence 85
- Statistics and Probability 19
- Management Science and Operations Research 23
- Mathematical Physics 16
Countries citing papers authored by Daniil Ryabko
This map shows the geographic impact of Daniil Ryabko'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 Daniil Ryabko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniil Ryabko more than expected).
Fields of papers citing papers by Daniil Ryabko
This network shows the impact of papers produced by Daniil Ryabko. 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 Daniil Ryabko. The network helps show where Daniil Ryabko may publish in the future.
Co-authors
The 8 scholars most cited alongside Daniil Ryabko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 15 | |
| 2 | 2008 | 11 | |
| 3 | 2014 | 9 | |
| 4 | 2005 | 9 | |
| 5 | 2011 | 8 | |
| 6 | 2008 | 8 | |
| 7 | 2010 | 8 | |
| 8 | 2019 | 8 | |
| 9 | 2010 | 7 | |
| 10 | 2007 | 7 | |
| 11 | 2009 | 6 | |
| 12 | 2007 | 6 | |
| 13 | 2007 | 5 | |
| 14 | 2009 | 4 | |
| 15 | 2011 | 4 | |
| 16 | 2009 | 4 | |
| 17 | 2006 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2013 | 2 | |
| 20 | 2015 | 2 |
About Daniil Ryabko
Daniil Ryabko is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Statistics and Probability, Control and Systems Engineering and Statistics, Probability and Uncertainty, having authored 31 papers that have together received 138 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (9 papers), Machine Learning and Algorithms (8 papers), Statistical Methods and Inference (8 papers), Algorithms and Data Compression (7 papers), Advanced Statistical Process Monitoring (6 papers), Fault Detection and Control Systems (5 papers), Neural Networks and Applications (4 papers) and Control Systems and Identification (3 papers). The work is most often cited by research in Computational Theory and Mathematics (44 citations), Artificial Intelligence (85 citations), Statistics and Probability (19 citations), Management Science and Operations Research (23 citations) and Mathematical Physics (16 citations). Daniil Ryabko has collaborated with scholars based in France, Switzerland and Russia. Frequent co-authors include Boris Ryabko, Marcus Hütter, Jürgen Schmidhuber, Rémi Munos, Ronald Ortner, Peter Auer, Zhanna Reznikova and Alessandro Lazaric. Their work appears in journals such as Theoretical Computer Science, Applied Mathematics Letters, Journal of Machine Learning Research, IEEE Transactions on Information Theory and Test.
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.