A. B. Tsybakov

4.4k total citations · 1 hit paper
46 papers, 2.4k citations indexed

About

A. B. Tsybakov is a scholar working on Statistics and Probability, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, A. B. Tsybakov has authored 46 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in A. B. Tsybakov's work include Statistical Methods and Inference (32 papers), Advanced Statistical Methods and Models (12 papers) and Bayesian Methods and Mixture Models (7 papers). A. B. Tsybakov is often cited by papers focused on Statistical Methods and Inference (32 papers), Advanced Statistical Methods and Models (12 papers) and Bayesian Methods and Mixture Models (7 papers). A. B. Tsybakov collaborates with scholars based in France, Russia and United States. A. B. Tsybakov's co-authors include Wolfgang Karl Härdle, A. P. Korostelev, Gérard Kerkyacharian, Dominique Picard, Cristina Butucea, Léopold Simar, Enno Mammen, J. S. Marron, J. S. Marron and Oleg Lepski and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Information Theory and Journal of Econometrics.

In The Last Decade

A. B. Tsybakov

46 papers receiving 2.2k citations

Hit Papers

Wavelets, Approximation, and Statistical Applications 1998 2026 2007 2016 1998 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. B. Tsybakov France 24 1.3k 737 479 346 326 46 2.4k
Vladimir Spokoiny Germany 25 1.3k 1.0× 679 0.9× 334 0.7× 186 0.5× 471 1.4× 107 2.7k
Igor Vajda Czechia 22 1.1k 0.8× 740 1.0× 234 0.5× 254 0.7× 149 0.5× 107 2.5k
Alexandre B. Tsybakov France 19 2.2k 1.7× 1.2k 1.6× 449 0.9× 242 0.7× 236 0.7× 33 3.9k
Dominique Picard France 21 1.1k 0.8× 486 0.7× 1.5k 3.2× 627 1.8× 518 1.6× 81 3.4k
Evarist Giné United States 30 1.9k 1.5× 947 1.3× 149 0.3× 429 1.2× 864 2.7× 75 3.3k
George Kimeldorf United States 11 562 0.4× 579 0.8× 339 0.7× 171 0.5× 167 0.5× 39 1.8k
David E. Tyler United States 26 1.5k 1.2× 483 0.7× 204 0.4× 170 0.5× 134 0.4× 63 2.6k
Gérard Kerkyacharian France 17 927 0.7× 420 0.6× 1.5k 3.1× 655 1.9× 388 1.2× 30 2.9k
Lucien Birgé France 17 1.1k 0.8× 672 0.9× 187 0.4× 159 0.5× 181 0.6× 28 1.7k
R. M. Dudley United States 27 999 0.8× 774 1.1× 154 0.3× 684 2.0× 735 2.3× 74 3.7k

Countries citing papers authored by A. B. Tsybakov

Since Specialization
Citations

This map shows the geographic impact of A. B. Tsybakov'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 A. B. Tsybakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. B. Tsybakov more than expected).

Fields of papers citing papers by A. B. Tsybakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. B. Tsybakov. 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 A. B. Tsybakov. The network helps show where A. B. Tsybakov may publish in the future.

Co-authorship network of co-authors of A. B. Tsybakov

This figure shows the co-authorship network connecting the top 25 collaborators of A. B. Tsybakov. A scholar is included among the top collaborators of A. B. Tsybakov 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 A. B. Tsybakov. A. B. Tsybakov 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.
Dalalyan, Arnak S. & A. B. Tsybakov. (2012). Sparse regression learning by aggregation and Langevin Monte-Carlo. Journal of Computer and System Sciences. 78(5). 1423–1443. 46 indexed citations
2.
Butucea, Cristina & A. B. Tsybakov. (2008). Sharp Optimality in Density Deconvolution with Dominating Bias. I. Theory of Probability and Its Applications. 52(1). 24–39. 54 indexed citations
3.
Tsybakov, A. B., et al.. (2007). Linear and convex aggregation of density estimators. Mathematical Methods of Statistics. 16(3). 260–280. 44 indexed citations
4.
Tsybakov, A. B.. (2006). Discussion: Local Rademacher complexities and oracle inequalities in risk minimization. The Annals of Statistics. 34(6). 1 indexed citations
5.
Juditsky, Anatoli, et al.. (2005). Recursive Aggregation of Estimators by the Mirror Descent Algorithm with Averaging. Problems of Information Transmission. 41(4). 368–384. 40 indexed citations
6.
Tsybakov, A. B., et al.. (2004). Block thresholding and sharp adaptive estimation in severely ill-posed inverse problems. SPIRE - Sciences Po Institutional REpository. 19 indexed citations
7.
Tsybakov, A. B., et al.. (2003). Optimal prediction for linear regression with infinitely many parameters. SPIRE - Sciences Po Institutional REpository. 5 indexed citations
8.
Tsybakov, A. B. & Edward C. van der Meulen. (2002). Root-N consistent estimators of entropy for densities with unbounded support. 78–78. 32 indexed citations
9.
Lepski, Oleg & A. B. Tsybakov. (2000). Asymptotically exact nonparametric hypothesis testing in sup-norm and at a fixed point. Probability Theory and Related Fields. 117(1). 17–48. 50 indexed citations
10.
Härdle, Wolfgang Karl, A. B. Tsybakov, & Lijian Yang. (1998). Nonparametric vector autoregression. Journal of Statistical Planning and Inference. 68(2). 221–245. 72 indexed citations
11.
Härdle, Wolfgang Karl, Gérard Kerkyacharian, Dominique Picard, & A. B. Tsybakov. (1998). Wavelets, Approximation, and Statistical Applications. Lecture notes in statistics. 474 indexed citations breakdown →
12.
Tsybakov, A. B.. (1998). Pointwise and sup-norm sharp adaptive estimation of functions on the Sobolev classes. The Annals of Statistics. 26(6). 62 indexed citations
13.
Härdle, Wolfgang Karl & A. B. Tsybakov. (1995). Additive nonparametric regression on principal components. Journal of nonparametric statistics. 5(2). 157–184. 8 indexed citations
14.
Härdle, Wolfgang Karl, et al.. (1995). Estimation of Non-sharp Support Boundaries. Journal of Multivariate Analysis. 55(2). 205–218. 58 indexed citations
15.
Korostelev, A. P. & A. B. Tsybakov. (1993). MiniMax Methods for Image Reconstruction. Springer eBooks. 23 indexed citations
16.
Härdle, Wolfgang Karl & A. B. Tsybakov. (1993). How sensitive are average derivatives?. Journal of Econometrics. 58(1-2). 31–48. 37 indexed citations
17.
Polyak, B. T. & A. B. Tsybakov. (1993). A Family of Asymptotically Optimal Methods for Choosing the Order of a Projective Regression Estimate. Theory of Probability and Its Applications. 37(3). 471–481. 5 indexed citations
18.
Härdle, Wolfgang Karl, Jeffrey D. Hart, J. S. Marron, & A. B. Tsybakov. (1992). Bandwidth Choice for Average Derivative Estimation. Journal of the American Statistical Association. 87(417). 218–226. 54 indexed citations
19.
Polyak, B. T. & A. B. Tsybakov. (1991). Asymptotic Optimality of the $C_p$-Test for the Orthogonal Series Estimation of Regression. Theory of Probability and Its Applications. 35(2). 293–306. 25 indexed citations
20.
Tsybakov, A. B., et al.. (1988). Robust Nonparametric Regression with Simultaneous Scale Curve Estimation. The Annals of Statistics. 16(1). 58 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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