Stanislav Minsker

788 citations
21 papers · 276 · h-index 8

Impact in

Papers in

Stanislav Minsker

18 papers receiving 260 citations

Peers

Stanislav Minsker
Comparison fields: 5 of 65
  • Statistics and Probability 139
  • Computational Mathematics 3
  • Artificial Intelligence 111
  • Computational Mechanics 55
  • Statistics, Probability and Uncertainty 19
Replace Pierre Alquier with:
Pierre Alquier France
Adityanand Guntuboyina United States
Jianming Ye China
Guillaume Lecué France
Zhenhua Lin Singapore
Yannick Baraud France
Ashwin Pananjady United States
Mariane Pelletier France
Stanislav Minsker relative to Pierre Alquier France Pierre Alquier's profile →
Citations per field
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Citations per year

Countries citing papers authored by Stanislav Minsker

Since Specialization
Citations

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

Fields of papers citing papers by Stanislav Minsker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stanislav Minsker. 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 Stanislav Minsker. The network helps show where Stanislav Minsker may publish in the future.

Co-authors

The 14 scholars most cited alongside Stanislav Minsker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stanislav Minsker Line = papers co-authored together Stanislav Minsker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015105
2
Scalable and Robust Bayesian Inference via the Median Posterior
201440
3
Robust and Scalable Bayes via a Median of Subset Posterior Measures
201736
4 201932
5 201416
6 201813
7 201910
8 20157
9 20214
10 20143
11 20232
12 20142
13 20221
14 20251
15 20241
16 20191
17
Estimation of Extreme Values and Associated Level Sets of a Regression Function via Selective Sampling.
20131
18 20151
19 20240
20
Dictionary Learning and Non-Asymptotic Bounds for Geometric Multi-Resolution Analysis
20140

About Stanislav Minsker

Stanislav Minsker is a scholar working on Statistics and Probability, Computational Mechanics, Artificial Intelligence, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 21 papers that have together received 276 indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (11 papers), Sparse and Compressive Sensing Techniques (9 papers), Statistical Methods and Bayesian Inference (2 papers), Advanced Statistical Process Monitoring (2 papers), Statistical Mechanics and Entropy (2 papers), Topological and Geometric Data Analysis (2 papers) and Soil Geostatistics and Mapping (2 papers). The work is most often cited by research in Statistics and Probability (139 citations), Computational Mathematics (3 citations), Artificial Intelligence (111 citations), Computational Mechanics (55 citations) and Statistics, Probability and Uncertainty (19 citations). Stanislav Minsker has collaborated with scholars based in United States, France and Russia. Frequent co-authors include David B. Dunson, Sanvesh Srivastava, Lizhen Lin, Xiaohan Wei, Nate Strawn, Mauro Maggioni, Zhao Ren, Wen‐Xin Zhou, Qiang Sun and Larry Goldstein. Their work appears in journals such as Bernoulli, Stochastic Processes and their Applications, Information and Inference A Journal of the IMA, Machine Learning and Journal of the American Statistical Association.

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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