2026 Deanna Needell: Mathematics Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	30	13803	13385	5476	5209	278	18754
Mathematics	30	3412	3049	1330	1112	243	18730

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

13803

13385

5476

5209

278

18754

Mathematics

3412

3049

1330

1112

243

18730

Computer Science

D-Index

Citations

18754

World Ranking

13803

National Ranking

5476

Mathematics

D-Index

Citations

18730

World Ranking

3412

National Ranking

1330

Research.com Recognitions

2014 - Fellow of Alfred P. Sloan Foundation

Overview

Deanna Needell is affiliated with the University of California, Los Angeles in the United States. Their research spans multiple fields within computer science and engineering, with significant contributions in artificial intelligence, computational mechanics, and computer vision and pattern recognition.

The main fields of study for their work include:

Computer Science
Engineering

Subfields of particular focus are:

Artificial Intelligence
Computational Mechanics
Computer Vision and Pattern Recognition
Computational Mathematics
Computational Theory and Mathematics

The main topics covered in their research are:

Sparse and Compressive Sensing Techniques
Stochastic Gradient Optimization Techniques
Tensor Decomposition and Applications
Blind Source Separation Techniques
Image and Signal Denoising Methods
Neural Networks and Applications
Face and Expression Recognition

Deanna Needell's recent published papers include:

"On Adaptive Sketch-and-Project for Solving Linear Systems", 2021, SIAM Journal on Matrix Analysis and Applications
"Robust CUR Decomposition: Theory and Imaging Applications", 2021, SIAM Journal on Imaging Sciences
"On block Gaussian sketching for the Kaczmarz method", 2020, Numerical Algorithms
"Quantile-Based Iterative Methods for Corrupted Systems of Linear Equations", 2022, SIAM Journal on Matrix Analysis and Applications
"Random Vector Functional Link Networks for Function Approximation on Manifolds", 2020, Data Archiving and Networked Services (DANS)

Their frequent coauthors include:

Jamie Haddock
Longxiu Huang
Elizaveta Rebrova
Lara Kassab
Michael Perlmutter

They publish regularly in venues such as:

arXiv (Cornell University)
SIAM Journal on Matrix Analysis and Applications
55th Asilomar Conference on Signals, Systems, and Computers (2021)
Numerical Algorithms
IEEE Transactions on Information Theory

Deanna Needell has been recognized as a Fellow of the Alfred P. Sloan Foundation in 2014.

Best Publications

CoSaMP: iterative signal recovery from incomplete and inaccurate samples

Deanna Needell;Joel A. Tropp

5773
Citations
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples

D. Needell;J.A. Tropp

5185
Citations
Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit

Deanna Needell;Roman Vershynin

1341
Citations
Signal Recovery From Incomplete and Inaccurate Measurements Via Regularized Orthogonal Matching Pursuit

Deanna Needell;Roman Vershynin

1257
Citations
Compressed sensing with coherent and redundant dictionaries

Emmanuel J. Candès;Yonina C. Eldar;Deanna Needell;Paige Randall

1094
Citations
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm

Deanna Needell;Rachel Ward;Nati Srebro

459
Citations
Paved with good intentions: Analysis of a randomized block Kaczmarz method

Deanna Needell;Joel A. Tropp

322
Citations
Randomized Kaczmarz solver for noisy linear systems

Deanna Needell

293
Citations
Stable Image Reconstruction Using Total Variation Minimization

Deanna Needell;Rachel A Ward

269
Citations
Convergence Properties of the Randomized Extended Gauss--Seidel and Kaczmarz Methods

Anna Ma;Deanna Needell;Aaditya Ramdas

210
Citations
Randomized block Kaczmarz method with projection for solving least squares

Deanna Needell;Ran Zhao;Anastasios Zouzias

157
Citations
Signal Space CoSaMP for Sparse Recovery With Redundant Dictionaries

Mark A. Davenport;Deanna Needell;Michael B. Wakin

153
Citations
Acceleration of randomized Kaczmarz method via the Johnson---Lindenstrauss Lemma

Yonina C. Eldar;Deanna Needell

146
Citations
Exponential Decay of Reconstruction Error From Binary Measurements of Sparse Signals

Richard G. Baraniuk;Simon Foucart;Deanna Needell;Yaniv Plan

137
Citations
Greedy signal recovery review

D. Needell;J. Tropp;R. Vershynin

118
Citations
Linear Convergence of Stochastic Iterative Greedy Algorithms With Sparse Constraints

Nam Nguyen;Deanna Needell;Tina Woolf

111
Citations
Signal Recovery from Inaccurate and Incomplete Measurements via Regularized Orthogonal Matching Pursuit

Deanna Needell;Roman Vershynin

100
Citations
Noisy signal recovery via iterative reweighted L1-minimization

Deanna Needell

98
Citations
Near-Optimal Compressed Sensing Guarantees for Total Variation Minimization

Deanna Needell;Rachel Ward

90
Citations
Topics in compressed sensing

Deanna Needell

85
Citations
Two-subspace Projection Method for Coherent Overdetermined Systems

Deanna Needell;Rachel A Ward

69
Citations
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm

Deanna Needell;Nathan Srebro;Rachel Ward

62
Citations

Frequent Co-Authors

Rachel Ward The University of Texas at Austin

Yonina C. Eldar Weizmann Institute of Science

Roman Vershynin University of California, Irvine

Joel A. Tropp California Institute of Technology

Raja Giryes Tel Aviv University

Mark A. Davenport Georgia Institute of Technology

Richard G. Baraniuk Rice University

Jesús A. De Loera University of California, Davis

Michael B. Wakin Colorado School of Mines

Benny Sudakov ETH Zurich

External Links

Personal website of Deanna Needell

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