World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
90
Citations
38887
World Ranking
603
National Ranking
325

Robert Nowak 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 Robert Nowak 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: 390 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Robert Nowak 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 Robert Nowak 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: 90 D-Index — 96th percentile

96% 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

  • 2010 - IEEE Fellow For contributions to statistical signal and image processing

Overview

Robert Nowak is affiliated with the University of Wisconsin-Madison in the United States. Their research primarily focuses on the field of Computer Science, with a concentration on Artificial Intelligence. Other notable subfields in their work include Management Science and Operations Research, Computational Mechanics, Computer Vision and Pattern Recognition, and Statistical and Nonlinear Physics.

The scientist has an extensive publication record, with a significant number of papers appearing on arXiv (Cornell University). Other frequent publication venues include Affective Science, SIAM Journal on Mathematics of Data Science, Proceedings of the AAAI Conference on Artificial Intelligence, and IEEE Signal Processing Letters.

Key topics that characterize their research include Machine Learning and Algorithms, Machine Learning and Data Classification, Advanced Bandit Algorithms Research, Sparse and Compressive Sensing Techniques, Model Reduction and Neural Networks, Neural Networks and Applications, and Stochastic Gradient Optimization Techniques.

Among the recent papers authored or coauthored by Robert Nowak are:

  • "The Role of Neural Network Activation Functions," 2020, IEEE Signal Processing Letters
  • "Evidence for Distinct Facial Signals of Reward, Affiliation, and Dominance from Both Perception and Production Tasks," 2021, Affective Science
  • "Banach Space Representer Theorems for Neural Networks and Ridge Splines," 2020, arXiv (Cornell University)
  • "What Kinds of Functions Do Deep Neural Networks Learn? Insights from Variational Spline Theory," 2022, SIAM Journal on Mathematics of Data Science
  • "Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks," 2022, IEEE Transactions on Information Theory

Their frequent coauthors include Rahul Parhi, Jifan Zhang, Yinglun Zhu, Ardhendu Tripathy, and Julian Katz-Samuels. Among these, collaborations with Rahul Parhi and Jifan Zhang are notably recurrent.

In recognition of their contributions, Robert Nowak was awarded the title of IEEE Fellow in 2010 for contributions to statistical signal and image processing.

Best Publications

  • Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems

    M.A.T. Figueiredo;R.D. Nowak;S.J. Wright

  • Wavelet-based statistical signal processing using hidden Markov models

    M.S. Crouse;R.D. Nowak;R.G. Baraniuk

  • Sparse Reconstruction by Separable Approximation

    S.J. Wright;R.D. Nowak;M.A.T. Figueiredo

  • An EM algorithm for wavelet-based image restoration

    M.A.T. Figueiredo;R.D. Nowak

  • Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels

    Waheed U Bajwa;Jarvis Haupt;Akbar M Sayeed;Robert Nowak

  • Distributed optimization in sensor networks

    Michael Rabbat;Robert Nowak

  • Wavelet-based Rician noise removal for magnetic resonance imaging

    R.D. Nowak

  • Signal Reconstruction From Noisy Random Projections

    J. Haupt;R. Nowak

  • Compressed Sensing for Networked Data

    J. Haupt;W.U. Bajwa;M. Rabbat;R. Nowak

  • Internet tomography

    A. Coates;A.O. Hero;R. Nowak;Bin Yu

  • Majorization–Minimization Algorithms for Wavelet-Based Image Restoration

    M.A.T. Figueiredo;J.M. Bioucas-Dias;R.D. Nowak

  • Network Tomography: Recent Developments

    Rui Castro;Mark Coates;Gang Liang;Robert Nowak

  • Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation

    J Haupt;W U Bajwa;G Raz;R Nowak

  • Compressive wireless sensing

    Waheed Bajwa;Jarvis Haupt;Akbar Sayeed;Robert Nowak

  • Online identification and tracking of subspaces from highly incomplete information

    Laura Balzano;Robert Nowak;Benjamin Recht

  • Computational segmentation of collagen fibers from second-harmonic generation images of breast cancer.

    Jeremy S. Bredfeldt;Yuming Liu;Carolyn A. Pehlke;Matthew W. Conklin

  • Quantized incremental algorithms for distributed optimization

    M.G. Rabbat;R.D. Nowak

  • Toeplitz-Structured Compressed Sensing Matrices

    Waheed U. Bajwa;Jarvis D. Haupt;Gil M. Raz;Stephen J. Wright

  • Adaptive wavelet transforms via lifting

    R.L. Claypoole;R.G. Baraniuk;R.D. Nowak

  • Distributed EM algorithms for density estimation and clustering in sensor networks

    R.D. Nowak

Frequent Co-Authors

Richard G. Baraniuk
Richard G. Baraniuk Rice University
Rebecca Willett
Rebecca Willett University of Chicago
Mário A. T. Figueiredo
Mário A. T. Figueiredo Instituto Superior Técnico
Michael Rabbat
Michael Rabbat Facebook (United States)
Clayton Scott
Clayton Scott University of Michigan–Ann Arbor
Mark Coates
Mark Coates McGill University
Xiaojin Zhu
Xiaojin Zhu University of Wisconsin–Madison
Paul Barford
Paul Barford University of Wisconsin–Madison
Aarti Singh
Aarti Singh Carnegie Mellon University
B.D. Van Veen
B.D. Van Veen University of Wisconsin–Madison

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