World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
45212
World Ranking
5731
National Ranking
2602

Justin Romberg publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Justin Romberg sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 238 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Justin Romberg D-index placement in Computer Science in 2026

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

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2021 - Jack S. Kilby Signal Processing Medal For groundbreaking contributions to compressed sensing.
  • 2018 - IEEE Fellow For contributions to compressive sensing

Overview

Justin Romberg is affiliated with the Georgia Institute of Technology in the United States. Their research spans multiple fields including computer science and engineering, with a specific focus on subfields such as artificial intelligence, computer networks and communications, computational mechanics, electrical and electronic engineering, and signal processing.

The scientist has a significant body of work centered around topics including:

  • Sparse and compressive sensing techniques
  • Distributed control multi-agent systems
  • Stochastic gradient optimization techniques
  • Reinforcement learning in robotics
  • Underwater acoustics research
  • Advanced bandit algorithms research
  • Adaptive dynamic programming control

Justin Romberg has published extensively, with numerous papers appearing in key venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • The Journal of the Acoustical Society of America
  • IEEE Transactions on Automatic Control
  • SIAM Journal on Mathematics of Data Science
  • IEEE Transactions on Circuits and Systems I Regular Papers

Recent papers authored or coauthored by Romberg include:

  • STAN: spatio-temporal attention network for pandemic prediction using real-world evidence, 2020, Journal of the American Medical Informatics Association
  • Convergence Rates of Distributed Gradient Methods Under Random Quantization: A Stochastic Approximation Approach, 2020, IEEE Transactions on Automatic Control
  • Finite-Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm, 2022, IEEE Transactions on Automatic Control
  • Finite-Time Performance of Distributed Temporal-Difference Learning with Linear Function Approximation, 2021, SIAM Journal on Mathematics of Data Science
  • A Hardware-Friendly Approach Towards Sparse Neural Networks Based on LFSR-Generated Pseudo-Random Sequences, 2020, IEEE Transactions on Circuits and Systems I Regular Papers

Their frequent collaborators include:

  • Thinh T. Doan
  • Mark A. Davenport
  • Saibal Mukhopadhyay
  • Coleman DeLude
  • Sihan Zeng

Justin Romberg has received notable awards including the Jack S. Kilby Signal Processing Medal in 2021 for contributions related to compressed sensing, and they were named an IEEE Fellow in 2018 for contributions to compressive sensing.

Best Publications

  • Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

    E.J. Candes;J. Romberg;T. Tao

  • Stable signal recovery from incomplete and inaccurate measurements

    Emmanuel J. Candès;Justin K. Romberg;Terence Tao

  • Sparsity and incoherence in compressive sampling

    Emmanuel Candès;Justin Romberg

  • Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals

    J.A. Tropp;J.N. Laska;M.F. Duarte;J.K. Romberg

  • Imaging via Compressive Sampling

    J. Romberg

  • Bayesian tree-structured image modeling using wavelet-domain hidden Markov models

    J.K. Romberg;Hyeokho Choi;R.G. Baraniuk

  • Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions

    Emmanuel J. Candes;Justin Romberg

  • Signal recovery from random projections

    Emmanuel J. Candes;Justin K. Romberg

  • Compressive Sensing by Random Convolution

    Justin Romberg

  • An Overview of Low-Rank Matrix Recovery From Incomplete Observations

    Mark A. Davenport;Justin Romberg

  • Blind Deconvolution Using Convex Programming

    Ali Ahmed;Benjamin Recht;Justin Romberg

  • Practical Signal Recovery from Random Projections

    Justin Romberg

  • Restricted isometries for partial random circulant matrices

    Holger Rauhut;Justin K. Romberg;Joel A. Tropp

  • Compressive Sensing on a CMOS Separable-Transform Image Sensor

    Ryan Robucci;Jordan D Gray;Leung Kin Chiu;Justin Romberg

  • Terahertz time-gated spectral imaging for content extraction through layered structures.

    Albert Redo-Sanchez;Barmak Heshmat;Alireza Aghasi;Salman Naqvi

  • Compressive sensing on a CMOS separable transform image sensor

    R. Robucci;Leung Kin Chiu;J. Gray;J. Romberg

  • A Nonuniform Sampler for Wideband Spectrally-Sparse Environments

    M. Wakin;S. Becker;E. Nakamura;M. Grant

  • Sparse Recovery of Streaming Signals Using $ll_1$ -Homotopy

    M. Salman Asif;Justin K. Romberg

  • Dynamic Updating for $ll_{1}$ Minimization

    M. Salman Asif;J. Romberg

  • Hidden Markov tree modeling of complex wavelet transforms

    Hyeokho Choi;J. Romberg;R. Baraniuk;N. Kingsbury

Frequent Co-Authors

Mark A. Davenport
Mark A. Davenport Georgia Institute of Technology
Arijit Raychowdhury
Arijit Raychowdhury Georgia Institute of Technology
Emmanuel J. Candès
Emmanuel J. Candès Stanford University
Michael B. Wakin
Michael B. Wakin Colorado School of Mines
Joel A. Tropp
Joel A. Tropp California Institute of Technology
Terence Tao
Terence Tao University of California, Los Angeles
Richard G. Baraniuk
Richard G. Baraniuk Rice University
Hua Wang
Hua Wang Georgia Institute of Technology
Cao Xiao
Cao Xiao General Electric (United Kingdom)

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