Elizaveta Levina

8.3k total citations · 2 hit papers
53 papers, 4.6k citations indexed

About

Elizaveta Levina is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Statistics and Probability. According to data from OpenAlex, Elizaveta Levina has authored 53 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 20 papers in Statistical and Nonlinear Physics and 19 papers in Statistics and Probability. Recurrent topics in Elizaveta Levina's work include Complex Network Analysis Techniques (19 papers), Statistical Methods and Inference (13 papers) and Bayesian Methods and Mixture Models (10 papers). Elizaveta Levina is often cited by papers focused on Complex Network Analysis Techniques (19 papers), Statistical Methods and Inference (13 papers) and Bayesian Methods and Mixture Models (10 papers). Elizaveta Levina collaborates with scholars based in United States, Russia and Belgium. Elizaveta Levina's co-authors include Peter J. Bickel, Ji Zhu, Adam Rothman, George Michailidis, M. E. J. Newman, Brian Karrer, Juan Guo, Tianxi Li, Yuan Zhang and Ji Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Elizaveta Levina

49 papers receiving 4.4k citations

Hit Papers

Regularized estimation of... 2007 2026 2013 2019 2008 2007 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Regularized estimation of large covariance matrices
    2008 730 citations Peter J. Bickel, Elizaveta Levina profile →
  2. Covariance regularization by thresholding
    2007 689 citations Peter J. Bickel, Elizaveta Levina profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizaveta Levina United States 26 1.8k 1.4k 702 684 621 53 4.6k
László Györfi Hungary 27 2.5k 1.4× 3.2k 2.2× 316 0.5× 304 0.4× 918 1.5× 113 6.5k
Gábor Lugosi Spain 39 1.9k 1.0× 4.8k 3.3× 341 0.5× 332 0.5× 1.3k 2.0× 137 8.4k
Robert Tibshirani United States 5 1.1k 0.6× 1.1k 0.8× 1.5k 2.1× 257 0.4× 386 0.6× 6 4.8k
Sara van de Geer Switzerland 22 2.4k 1.4× 1.3k 0.9× 475 0.7× 102 0.1× 488 0.8× 64 4.7k
Kenji Fukumizu Japan 32 1.1k 0.6× 2.5k 1.7× 275 0.4× 330 0.5× 822 1.3× 124 4.3k
Arthur Gretton Germany 35 1.3k 0.7× 3.9k 2.7× 498 0.7× 330 0.5× 2.1k 3.3× 116 7.5k
Thriyambakam Krishnan Netherlands 3 1.2k 0.7× 1.9k 1.3× 287 0.4× 130 0.2× 633 1.0× 3 4.6k
Eric D. Kolaczyk United States 34 322 0.2× 1.1k 0.7× 568 0.8× 898 1.3× 788 1.3× 115 4.8k
Debashis Kushary United States 8 1.3k 0.7× 1.9k 1.3× 285 0.4× 114 0.2× 693 1.1× 21 4.8k

Countries citing papers authored by Elizaveta Levina

Since Specialization
Citations

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

Fields of papers citing papers by Elizaveta Levina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizaveta Levina

This figure shows the co-authorship network connecting the top 25 collaborators of Elizaveta Levina. A scholar is included among the top collaborators of Elizaveta Levina 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 Elizaveta Levina. Elizaveta Levina 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.
Levin, Keith & Elizaveta Levina. (2025). Bootstrapping networks with latent space structure. Electronic Journal of Statistics. 19(1).
2.
Kessler, Daniel P., et al.. (2023). Graph-aware modeling of brain connectivity networks. The Annals of Applied Statistics. 17(3). 2 indexed citations
3.
Levina, Elizaveta, et al.. (2022). Discussion of “Co-citation and Co-authorship Networks of Statisticians” by Pengsheng Ji, Jiashun Jin, Zheng Tracy Ke, and Wanshan Li. Journal of Business and Economic Statistics. 40(2). 492–493.
4.
Li, Tianxi, Qian Cheng, Elizaveta Levina, & Ji Zhu. (2020). High-dimensional Gaussian graphical models on network-linked data. Journal of Machine Learning Research. 21(74). 1–45. 8 indexed citations
5.
Li, Tianxi, Elizaveta Levina, & Ji Zhu. (2020). Network cross-validation by edge sampling. Biometrika. 107(2). 257–276. 80 indexed citations
6.
Zhang, Yuan, Elizaveta Levina, & Ji Zhu. (2020). Detecting Overlapping Communities in Networks Using Spectral Methods. SIAM Journal on Mathematics of Data Science. 2(2). 265–283. 40 indexed citations
7.
Li, Tianxi, Lihua Lei, Sharmodeep Bhattacharyya, et al.. (2020). Hierarchical Community Detection by Recursive Partitioning. Journal of the American Statistical Association. 117(538). 951–968. 37 indexed citations
8.
Sripada, Chandra, et al.. (2019). Basic Units of Inter-Individual Variation in Resting State Connectomes. Scientific Reports. 9(1). 1900–1900. 46 indexed citations
9.
Cheng, Jie, Tianxi Li, Elizaveta Levina, & Ji Zhu. (2016). High-Dimensional Mixed Graphical Models. Journal of Computational and Graphical Statistics. 26(2). 367–378. 33 indexed citations
10.
Levina, Elizaveta, et al.. (2014). Optimization via Low-rank Approximation, with Applications to Community Detection in Networks.. arXiv (Cornell University). 1 indexed citations
11.
Chen, Aiyou, et al.. (2012). Fitting community models to large sparse networks. arXiv (Cornell University). 10 indexed citations
12.
Zhao, Yunpeng, Elizaveta Levina, & Ji Zhu. (2011). On Consistency of Community Detection in Networks. arXiv (Cornell University). 4 indexed citations
13.
Bickel, Peter J., Aiyou Chen, & Elizaveta Levina. (2011). The method of moments and degree distributions for network models. 90 indexed citations
14.
Rothman, Adam, Elizaveta Levina, & Ji Zhu. (2010). Sparse Multivariate Regression With Covariance Estimation. Journal of Computational and Graphical Statistics. 19(4). 947–962. 215 indexed citations
15.
Bickel, Peter J. & Elizaveta Levina. (2008). Regularized estimation of large covariance matrices. 730 indexed citations breakdown →
16.
Karrer, Brian, Elizaveta Levina, & M. E. J. Newman. (2008). Robustness of community structure in networks. Physical Review E. 77(4). 46119–46119. 223 indexed citations
17.
Zhang, Min, Elizaveta Levina, Dragan Djurdjanović, & Jun Ni. (2008). Estimating Distributions of Surface Parameters for Classification Purposes. Journal of Manufacturing Science and Engineering. 130(3). 4 indexed citations
18.
Bickel, Peter J. & Elizaveta Levina. (2007). Covariance regularization by thresholding. 689 indexed citations breakdown →
19.
Levina, Elizaveta, et al.. (2005). Role of sensor noise in hyperspectral remote sensing of natural waters: Application to retrieval of phytoplankton pigments. Remote Sensing of Environment. 95(2). 264–271. 9 indexed citations
20.
Levina, Elizaveta & Peter J. Bickel. (2004). Maximum Likelihood Estimation of Intrinsic Dimension. Neural Information Processing Systems. 17. 777–784. 399 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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