Elizaveta Levina

Q: What Schools Are Affiliated With Elizaveta Levina

Elizaveta Levina is affiliated with the following schools: Saint Petersburg State University, University of Utah, Moscow State University, University of California, Berkeley, University of Michigan

Elizaveta Levina's AcademicInfluence.com Rankings

Elizaveta Levina

Mathematics

#6706

World Rank

#9237

Historical Rank

Statistics

#811

World Rank

#899

Historical Rank

mathematics Degrees

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Mathematics

Elizaveta Levina's Degrees

PhD Statistics University of California, Berkeley
Masters Statistics University of California, Berkeley
Bachelors Mathematics Moscow State University

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Why Is Elizaveta Levina Influential?

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According to Wikipedia, Elizaveta Levina is a Russian and American mathematical statistician. She is the Vijay Nair Collegiate Professor of Statistics at the University of Michigan, and is known for her work in high-dimensional statistics, including covariance estimation, graphical models, statistical network analysis, and nonparametric statistics.

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Elizaveta Levina's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Regularized estimation of large covariance matrices (2008) (1276)
Covariance regularization by thresholding (2009) (1166)
Sparse permutation invariant covariance estimation (2008) (868)
Maximum Likelihood Estimation of Intrinsic Dimension (2004) (800)
Some theory for Fisher''s linear discriminant function (2004) (600)
The Earth Mover's distance is the Mallows distance: some insights from statistics (2001) (560)
Generalized Thresholding of Large Covariance Matrices (2009) (462)
Joint estimation of multiple graphical models. (2011) (420)
Consistency of community detection in networks under degree-corrected stochastic block models (2011) (378)
Pseudo-likelihood methods for community detection in large sparse networks (2012) (355)
Robustness of community structure in networks. (2007) (322)
Sparse Multivariate Regression With Covariance Estimation (2010) (301)
Sure independence screening for ultrahigh dimensional feature space Discussion (2008) (297)
Sparse estimation of large covariance matrices via a nested Lasso penalty (2008) (222)
The method of moments and degree distributions for network models (2011) (215)
Community extraction for social networks (2010) (184)
On semidefinite relaxations for the block model (2014) (159)
A new approach to Cholesky-based covariance regularization in high dimensions (2009) (143)
Concentration and regularization of random graphs (2015) (135)
Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks (2008) (134)
Community Detection in Networks with Node Features (2015) (112)
Estimating network edge probabilities by neighborhood smoothing (2015) (105)
Network cross-validation by edge sampling (2016) (100)
Pairwise Variable Selection for High‐Dimensional Model‐Based Clustering (2010) (84)
Detecting Overlapping Communities in Networks Using Spectral Methods (2014) (81)
High-Dimensional Mixed Graphical Models (2013) (70)
Estimating the number of communities in networks by spectral methods (2015) (70)
NETWORK CLASSIFICATION WITH APPLICATIONS TO BRAIN CONNECTOMICS. (2017) (59)
Texture synthesis and nonparametric resampling of random fields (2006) (58)
Sparse random graphs: regularization and concentration of the Laplacian (2015) (56)
Discussion of "Stability selection" by N. Meinshausen and P. Buhlmann (2010) (53)
Prediction models for network-linked data (2016) (50)
Basic Units of Inter-Individual Variation in Resting State Connectomes (2019) (50)
Discovering Sparse Covariance Structures With the Isomap (2009) (47)
A sparse ising model with covariates (2014) (46)
Principal Component Analysis With Sparse Fused Loadings (2010) (45)
Graphical Models for Ordinal Data (2015) (43)
Link Prediction for Partially Observed Networks (2013) (43)
Partial estimation of covariance matrices (2010) (41)
Hierarchical Community Detection by Recursive Partitioning (2018) (40)
On Consistency of Community Detection in Networks (2011) (37)
Robust Target Localization From Binary Decisions in Wireless Sensor Networks (2008) (36)
Joint Structure Estimation for Categorical Markov Networks (2010) (36)
Optimization via Low-rank Approximation for Community Detection in Networks (2014) (33)
Estimating a network from multiple noisy realizations (2017) (33)
ESTIMATING HETEROGENEOUS GRAPHICAL MODELS FOR DISCRETE DATA WITH AN APPLICATION TO ROLL CALL VOTING. (2015) (30)
Fitting community models to large sparse networks (2012) (27)
Bootstrapping Networks with Latent Space Structure (2019) (25)
Estimating the number of pure chemical components in a mixture by maximum likelihood (2007) (22)
CONCENTRATION OF RANDOM GRAPHS AND APPLICATION TO COMMUNITY DETECTION (2018) (18)
Tracking Multiple Targets Using Binary Decisions From Wireless Sensor Networks (2013) (15)
Generalized linear models with low rank effects for network data (2017) (14)
Latent space models for multiplex networks with shared structure (2020) (13)
Role of sensor noise in hyperspectral remote sensing of natural waters: Application to retrieval of phytoplankton pigments (2005) (10)
Estimating the number of communities by spectral methods (2022) (9)
High-dimensional Gaussian graphical model for network-linked data (2019) (8)
Asymptotic Properties of the Joint Neighborhood Selection Method for Estimating Categorical Markov Networks (2012) (8)
Link prediction for egocentrically sampled networks (2018) (8)
Graph-aware Modeling of Brain Connectivity Networks (2019) (7)
Recovering low-rank structure from multiple networks with unknown edge distributions (2019) (7)
Effect of atmospheric interference and sensor noise in retrieval of optically active materials in the ocean by hyperspectral remote sensing. (2007) (7)
Estimating Distributions of Surface Parameters for Classification Purposes (2008) (6)
Sparse Ising Models with Covariates (2012) (6)
Simultaneous prediction and community detection for networks with application to neuroimaging (2020) (5)
Optimization via Low-rank Approximation, with Applications to Community Detection in Networks (2014) (5)
Correction to the proof of consistency of community detection (2015) (5)
Recovering shared structure from multiple networks with unknown edge distributions (2019) (4)
Community models for partially observed networks from surveys (2020) (3)
Matrix means and a novel high-dimensional shrinkage phenomenon (2019) (2)
Graph-aware linear mixed effects models for brain connectivity networks (2019) (2)
Structured functional regression models for high-dimensional spatial spectroscopy data (2013) (2)
Comment: Ridge Regression and Regularization of Large Matrices (2020) (2)
Regression with network cohesion (2016) (2)
Rejoinder: ‘Network cross-validation by edge sampling’ (2020) (2)
A Cost-Efficient Approach to Wireless Sensor Network Design (2007) (2)
Overlapping Community Detection in Networks via Sparse Spectral Decomposition (2020) (2)
A pseudo-likelihood approach to community detection in weighted networks (2023) (1)
Network resampling for estimating uncertainty (2022) (1)
Conformal Prediction for Network-Assisted Regression (2023) (1)
Structured regression models for high-dimensional spatial spectroscopy data (2017) (1)
Guiding and interpreting brain network classification with transcriptional data (2020) (0)
Latent process models for functional network data (2022) (0)
Selective Inference for Sparse Multitask Regression with Applications in Neuroimaging (2022) (0)
Prediction of Network Covariates Using Edge and Node Attributes (2022) (0)
Discussion of “Co-citation and Co-authorship Networks of Statisticians” by Pengsheng Ji, Jiashun Jin, Zheng Tracy Ke, and Wanshan Li (2022) (0)
Basic Units of Inter-Individual Variation in Resting State Connectomes (2019) (0)
ON SEMIDEFINITE RELAXATIONS FOR THE BLOCK MODEL 1 (2018) (0)
ON SEMIDEFINITE RELAXATIONS FOR THE BLOCK MODEL1 BY ARASH (2018) (0)
Partial estimation of covariance matrices (2011) (0)

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What Schools Are Affiliated With Elizaveta Levina?

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Elizaveta Levina's Academic­Influence.com Rankings