World's Best Scientists 2026 revealed!

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Computer Science

D-Index
40
Citations
13653
World Ranking
9049
National Ranking
3845

Mathematics

D-Index
39
Citations
13341
World Ranking
2121
National Ranking
898

Research.com Recognitions

  • 2016 - Fellow of the American Statistical Association (ASA)

Overview

Elizaveta Levina is affiliated with the University of Michigan-Ann Arbor in the United States. Their research spans multiple interconnected fields, primarily focusing on physics and astronomy, with significant contributions to statistical and nonlinear physics. Their expertise extends into statistics and probability, cognitive neuroscience, artificial intelligence, and molecular biology.

The scientist's research topics prominently include complex network analysis techniques, functional brain connectivity studies, opinion dynamics and social influence, mental health research topics, advanced causal inference techniques, bioinformatics and genomic networks, and advanced neuroimaging techniques and applications.

Elizaveta Levina has published extensively, with frequent contributions to several key academic venues. Among the most frequented publication outlets are:

  • arXiv (Cornell University)
  • Biometrika
  • Journal of the American Statistical Association
  • Electronic Journal of Statistics
  • The Annals of Applied Statistics

Frequent co-authors in their research include Ji Zhu, Peter W. MacDonald, Tianxi Li, and Keith Levin, indicating collaborations across diverse but interrelated domains.

Notable recent papers authored or co-authored by Elizaveta Levina include:

  • "Network cross-validation by edge sampling," 2020, Biometrika
  • "Hierarchical Community Detection by Recursive Partitioning," 2020, Journal of the American Statistical Association
  • "Detecting Overlapping Communities in Networks Using Spectral Methods," 2020, SIAM Journal on Mathematics of Data Science
  • "Latent space models for multiplex networks with shared structure," 2021, Biometrika
  • "Estimating the number of communities by spectral methods," 2022, Electronic Journal of Statistics

Elizaveta Levina has received recognition in their field, including being named a Fellow of the American Statistical Association in 2016.

Best Publications

  • Regularized estimation of large covariance matrices

    Peter J. Bickel;Elizaveta Levina

  • Covariance regularization by thresholding

    Peter J. Bickel;Elizaveta Levina

  • Sparse permutation invariant covariance estimation

    Adam J. Rothman;Peter J. Bickel;Elizaveta Levina;Ji Zhu

  • Maximum Likelihood Estimation of Intrinsic Dimension

    Elizaveta Levina;Peter J. Bickel

  • Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations

    Peter J. Bickel;Elizaveta Levina

  • The Earth Mover's distance is the Mallows distance: some insights from statistics

    E. Levina;P. Bickel

  • Consistency of community detection in networks under degree-corrected stochastic block models

    Yunpeng Zhao;Elizaveta Levina;Ji Zhu

  • Generalized Thresholding of Large Covariance Matrices

    Adam J. Rothman;Elizaveta Levina;Ji Zhu

  • Pseudo-likelihood methods for community detection in large sparse networks

    Arash A. Amini;Aiyou Chen;Peter J. Bickel;Elizaveta Levina

  • Joint estimation of multiple graphical models

    Jian Guo;Elizaveta Levina;George Michailidis;Ji Zhu

  • Robustness of community structure in networks.

    Brian Karrer;Elizaveta Levina;M. E. J. Newman

  • Sparse Multivariate Regression With Covariance Estimation.

    Adam J. Rothman;Elizaveta Levina;Ji Zhu

  • Sparse estimation of large covariance matrices via a nested Lasso penalty

    Elizaveta Levina;Adam Rothman;Ji Zhu

  • Community extraction for social networks

    Yunpeng Zhao;Elizaveta Levina;Ji Zhu

  • On semidefinite relaxations for the block model

    Arash A. Amini;Elizaveta Levina

  • A new approach to Cholesky-based covariance regularization in high dimensions

    Adam J. Rothman;Elizaveta Levina;Ji Zhu

  • Network cross-validation by edge sampling

    Tianxi Li;Elizaveta Levina;Ji Zhu

  • Concentration and regularization of random graphs

    Can M. Le;Elizaveta Levina;Roman Vershynin

  • Estimating network edge probabilities by neighbourhood smoothing

    Yuan Zhang;Elizaveta Levina;Ji Zhu

  • Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks

    N. Katenka;E. Levina;G. Michailidis

  • The method of moments and degree distributions for network models

    Peter J. Bickel;Aiyou Chen;Elizaveta Levina

Frequent Co-Authors

Peter J. Bickel
Peter J. Bickel University of California, Berkeley
Roman Vershynin
Roman Vershynin University of California, Irvine
George Michailidis
George Michailidis University of Florida
Melanie Bahlo
Melanie Bahlo Walter and Eliza Hall Institute of Medical Research
Pei Wang
Pei Wang Icahn School of Medicine at Mount Sinai
Stephan F. Taylor
Stephan F. Taylor University of Michigan–Ann Arbor
Chandra Sripada
Chandra Sripada University of Michigan–Ann Arbor
Michael D. Morris
Michael D. Morris University of Michigan–Ann Arbor
Mike Angstadt
Mike Angstadt University of Michigan–Ann Arbor
Mark Newman
Mark Newman University of Michigan–Ann Arbor

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