Alexandre B. Tsybakov

33 papers receiving 3.6k citations

Hit Papers

Simultaneous analysis of Lasso and Dantzig selector20082026201420202009200820102505007501000

Peers

Alexandre B. Tsybakov
Comparison fields: 5 of 134
  • Statistics and Probability 2.2k
  • Artificial Intelligence 1.2k
  • Computational Mechanics 1.2k
  • Computer Vision and Pattern Recognition 449
  • Control and Systems Engineering 352
Replace Sara van de Geer with:
Sara van de Geer Switzerland
Pascal Massart France
Cun‐Hui Zhang United States
Vladimir Koltchinskii United States
Elizaveta Levina United States
Keith Knight Canada
B. T. Polyak Russia
Vladimir Spokoiny Germany
Gábor Lugosi Spain
László Györfi Hungary
Alexandre B. Tsybakov relative to Sara van de Geer Switzerland Sara van de Geer's profile →
Citations per field
00.5×1.5×
Sara van de Geer · 1×
Citations per year

Countries citing papers authored by Alexandre B. Tsybakov

Since Specialization
Citations

This map shows the geographic impact of Alexandre 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 Alexandre 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 Alexandre B. Tsybakov more than expected).

Fields of papers citing papers by Alexandre B. Tsybakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre B. Tsybakov. A scholar is included among the top collaborators of Alexandre 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 Alexandre B. Tsybakov. Alexandre 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
#WorkIndexed citations
1 3
2 11
3 20
4 6
5 29
6 31
7 11
8 12
9 2
10
Nuclear norm penalization and optimal rates for noisy low rank matrix\n completionbreakdown →
290
11
Taking Advantage of Sparsity in Multi-Task Learning
95
12
Aggregation by exponential weighting, sharp oracle inequalities and sparsity
8
13
Sparsity oracle inequalities for the Lasso
196
14 144
15
Regularization in statistics: Discussion
2
16
Exact constants for pointwise adaptive estimation under the Riesz transform
3
17 21
18 89
19 18
20 175

About Alexandre B. Tsybakov

Alexandre B. Tsybakov is a scholar working on Statistics and Probability, Computational Mechanics and Mathematical Physics, having authored 33 papers that have together received 3.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (25 papers), Sparse and Compressive Sensing Techniques (12 papers) and Advanced Statistical Methods and Models (10 papers). The work is most often cited by research in Statistics and Probability (2.2k citations), Computational Mathematics (50 citations) and Computational Mechanics (1.2k citations). Alexandre B. Tsybakov has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Peter J. Bickel, Ya’acov Ritov, Karim Lounici, Vladimir Koltchinskii, Enno Mammen, Jean-Yves Audibert, Marten Wegkamp, Mathieu Rosenbaum, Laurent Cavalier and Sara A. van de Geer. Their work appears in journals such as The Annals of Statistics, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Probability Theory and Related Fields.

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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