World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
30
Citations
18730
World Ranking
3413
National Ranking
1329

Computer Science

D-Index
30
Citations
18754
World Ranking
13800
National Ranking
5474

Deanna Needell publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Deanna Needell sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 243 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Deanna Needell D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Deanna Needell sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 30 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

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

  • CoSaMP: Iterative signal recovery from incomplete and inaccurate samples

    D. Needell;J.A. Tropp

  • Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit

    Deanna Needell;Roman Vershynin

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

    Deanna Needell;Roman Vershynin

  • Compressed sensing with coherent and redundant dictionaries

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

  • Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm

    Deanna Needell;Rachel Ward;Nati Srebro

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

    Deanna Needell;Joel A. Tropp

  • Randomized Kaczmarz solver for noisy linear systems

    Deanna Needell

  • Stable Image Reconstruction Using Total Variation Minimization

    Deanna Needell;Rachel A Ward

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

    Anna Ma;Deanna Needell;Aaditya Ramdas

  • Randomized block Kaczmarz method with projection for solving least squares

    Deanna Needell;Ran Zhao;Anastasios Zouzias

  • Signal Space CoSaMP for Sparse Recovery With Redundant Dictionaries

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

  • Acceleration of randomized Kaczmarz method via the Johnson---Lindenstrauss Lemma

    Yonina C. Eldar;Deanna Needell

  • Exponential Decay of Reconstruction Error From Binary Measurements of Sparse Signals

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

  • Greedy signal recovery review

    D. Needell;J. Tropp;R. Vershynin

  • Linear Convergence of Stochastic Iterative Greedy Algorithms With Sparse Constraints

    Nam Nguyen;Deanna Needell;Tina Woolf

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

    Deanna Needell;Roman Vershynin

  • Noisy signal recovery via iterative reweighted L1-minimization

    Deanna Needell

  • Near-Optimal Compressed Sensing Guarantees for Total Variation Minimization

    Deanna Needell;Rachel Ward

  • Topics in compressed sensing

    Deanna Needell

  • Two-subspace Projection Method for Coherent Overdetermined Systems

    Deanna Needell;Rachel A Ward

  • Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm

    Deanna Needell;Nathan Srebro;Rachel Ward

Frequent Co-Authors

Rachel Ward
Rachel Ward The University of Texas at Austin
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science
Roman Vershynin
Roman Vershynin University of California, Irvine
Joel A. Tropp
Joel A. Tropp California Institute of Technology
Raja Giryes
Raja Giryes Tel Aviv University
Mark A. Davenport
Mark A. Davenport Georgia Institute of Technology
Richard G. Baraniuk
Richard G. Baraniuk Rice University
Jesús A. De Loera
Jesús A. De Loera University of California, Davis
Michael B. Wakin
Michael B. Wakin Colorado School of Mines
Benny Sudakov
Benny Sudakov ETH Zurich

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Overall, these related pathways demonstrate how mathematical studies integrate well with business and data-focused degrees, expanding career prospects in a competitive job market.

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