Daniil Ryabko

740 total citations
31 papers, 137 citations indexed

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 137 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 9 papers in Statistics and Probability. Recurrent topics in Daniil Ryabko's work include Computability, Logic, AI Algorithms (9 papers), Machine Learning and Algorithms (8 papers) and Statistical Methods and Inference (8 papers). Daniil Ryabko is often cited by papers focused on Computability, Logic, AI Algorithms (9 papers), Machine Learning and Algorithms (8 papers) and Statistical Methods and Inference (8 papers). Daniil Ryabko collaborates with scholars based in France, Switzerland and Russia. Daniil Ryabko's co-authors include Boris Ryabko, Marcus Hütter, Ronald Ortner, Rémi Munos, Jürgen Schmidhuber, Peter Auer, Alessandro Lazaric and Zhanna Reznikova 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

Daniil Ryabko

24 papers receiving 117 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniil Ryabko France 8 86 44 31 23 19 31 137
Dan Garber Israel 7 86 1.0× 28 0.6× 22 0.7× 32 1.4× 8 0.4× 22 142
Alistair Stewart United States 6 109 1.3× 29 0.7× 12 0.4× 21 0.9× 42 2.2× 21 178
Marvin Künnemann Germany 6 84 1.0× 51 1.2× 13 0.4× 5 0.2× 8 0.4× 19 142
Patrick Kahl United States 3 71 0.8× 95 2.2× 7 0.2× 13 0.6× 18 0.9× 4 162
Thomas Dueholm Hansen Denmark 7 94 1.1× 108 2.5× 8 0.3× 22 1.0× 12 0.6× 21 187
Roberto Notari Italy 9 15 0.2× 47 1.1× 12 0.4× 5 0.2× 7 0.4× 33 189
L. Thiel Canada 5 83 1.0× 57 1.3× 9 0.3× 18 0.8× 3 0.2× 11 197
Yang P. Liu United States 7 49 0.6× 101 2.3× 13 0.4× 7 0.3× 12 0.6× 20 152
Tian Sang United States 4 189 2.2× 52 1.2× 5 0.2× 15 0.7× 13 0.7× 5 216
Balázs Szörényi Hungary 9 148 1.7× 50 1.1× 6 0.2× 73 3.2× 12 0.6× 24 200

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).

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.

Co-authorship network of co-authors of Daniil Ryabko

This figure shows the co-authorship network connecting the top 25 collaborators of Daniil Ryabko. A scholar is included among the top collaborators of Daniil Ryabko 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 Daniil Ryabko. Daniil Ryabko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ryabko, Daniil. (2019). On Asymptotic and Finite-Time Optimality of Bayesian Predictors. Journal of Machine Learning Research. 20(149). 1–24.
2.
Ryabko, Daniil. (2019). Time-Series Information and Unsupervised Learning of Representations. IEEE Transactions on Information Theory. 66(3). 1702–1713. 3 indexed citations
3.
Ryabko, Daniil. (2019). Asymptotic Nonparametric Statistical Analysis of Stationary Time Series. SpringerBriefs in computer science. 8 indexed citations
4.
Ryabko, Daniil. (2016). Universality of Bayesian mixture predictors. HAL (Le Centre pour la Communication Scientifique Directe). 57–71.
5.
Ryabko, Daniil & Zhanna Reznikova. (2015). On the evolutionary origins of differences in sexual preferences. Frontiers in Psychology. 6. 628–628. 1 indexed citations
6.
Ryabko, Daniil, et al.. (2015). Nonparametric multiple change point estimation in highly dependent time series. Theoretical Computer Science. 620. 119–133. 1 indexed citations
7.
Ortner, Ronald, Daniil Ryabko, Peter Auer, & Rémi Munos. (2014). Regret bounds for restless Markov bandits. Theoretical Computer Science. 558. 62–76. 9 indexed citations
8.
Ryabko, Daniil. (2014). Characterizing predictable classes of processes. arXiv (Cornell University). 471–478.
9.
Ryabko, Boris & Daniil Ryabko. (2011). Constructing perfect steganographic systems. Information and Computation. 209(9). 1223–1230. 8 indexed citations
10.
Ryabko, Daniil & Boris Ryabko. (2010). Nonparametric Statistical Inference for. 2 indexed citations
11.
Ryabko, Daniil. (2010). Clustering processes. arXiv (Cornell University). 919–926. 8 indexed citations
12.
Ryabko, Daniil & Jürgen Schmidhuber. (2009). Using data compressors to construct order tests for homogeneity and component independence. Applied Mathematics Letters. 22(7). 1029–1032. 4 indexed citations
13.
Ryabko, Daniil. (2009). An impossibility result for process discrimination. 24. 1734–1738. 4 indexed citations
14.
Ryabko, Boris & Daniil Ryabko. (2009). Asymptotically optimal perfect steganographic systems. Problems of Information Transmission. 45(2). 184–190. 14 indexed citations
15.
Ryabko, Daniil & Boris Ryabko. (2008). Testing Statistical Hypotheses About Ergodic Processes. arXiv (Cornell University). 1 indexed citations
16.
Ryabko, Daniil & Marcus Hütter. (2008). On the possibility of learning in reactive environments with arbitrary dependence. Theoretical Computer Science. 405(3). 274–284. 8 indexed citations
17.
Ryabko, Daniil & Boris Ryabko. (2008). On hypotheses testing for ergodic processes. 281–283. 11 indexed citations
18.
Ryabko, Daniil. (2008). Testing statistical hypotheses about ergodic processes. 3. 257–260. 1 indexed citations
19.
Ryabko, Daniil & Marcus Hütter. (2007). Predicting non-stationary processes. Applied Mathematics Letters. 21(5). 477–482. 5 indexed citations
20.
Ryabko, Daniil & Marcus Hütter. (2006). Sequence prediction for non-stationary processes. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 0. 3 indexed citations

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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