Daniil Ryabko

31 papers and 134 indexed citations i.

About

Daniil Ryabko is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Daniil Ryabko has authored 31 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 7 papers in Statistics and Probability. Recurrent topics in Daniil Ryabko’s work include Computability, Logic, AI Algorithms (10 papers), Machine Learning and Algorithms (8 papers) and Algorithms and Data Compression (6 papers). Daniil Ryabko is often cited by papers focused on Computability, Logic, AI Algorithms (10 papers), Machine Learning and Algorithms (8 papers) and Algorithms and Data Compression (6 papers). Daniil Ryabko collaborates with scholars based in France, Switzerland and Russia. Daniil Ryabko's co-authors include Boris Ryabko, Marcus Hütter, Ronald Ortner, Phuong Nguyen, Odalric-Ambrym Maillard, Rémi Munos, Peter Auer, Jürgen Schmidhuber, Pierre‐Marie Preux and Alessandro Lazaric and has published in prestigious journals such as IEEE Transactions on Information Theory, Frontiers in Psychology and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Daniil Ryabko i

Fields of papers citing papers by Daniil Ryabko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniil Ryabko

Since Specialization
Citations

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).

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.

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