World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
81
Citations
35077
World Ranking
995
National Ranking
533

Alfred O. Hero 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 Alfred O. Hero 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: 839 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Alfred O. Hero 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 Alfred O. Hero 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: 81 D-Index — 93rd percentile

93% 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

  • 2020 - SIAM Fellow For contributions to the mathematical foundations of signal processing and data science.
  • 1998 - IEEE Fellow For contributions to the theory and practice of statistical signal processing, particularly in estimation, detection, and imaging.

Overview

Alfred O. Hero is affiliated with the University of Michigan-Ann Arbor in the United States and has a substantial publication record in the field of computer science, with a focus on several interconnected subfields.

Their research primarily spans the areas of artificial intelligence, molecular biology, computational mechanics, statistics and probability, and signal processing. The scientist's main topical interests include sparse and compressive sensing techniques, adversarial robustness in machine learning, machine learning and algorithms, anomaly detection techniques and applications, stochastic gradient optimization techniques, random matrices and applications, and tensor decomposition and applications.

Alfred O. Hero has collaborated frequently with several co-authors:

  • Neophytos Charalambides
  • Mayank Baranwal
  • Mert Pilancı
  • Sijia Liu
  • Dogyoon Song

The scientist has published in a variety of venues, with a concentration in several key journals and repositories:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • IEEE Transactions on Signal Processing
  • IEEE Access
  • Harvard Data Science Review

Among notable recent publications are the following papers:

  • A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications, 2020, IEEE Signal Processing Magazine
  • Predicting Solar Flares Using CNN and LSTM on Two Solar Cycles of Active Region Data, 2022, The Astrophysical Journal
  • Struct2Graph: a graph attention network for structure based predictions of protein-protein interactions, 2022, BMC Bioinformatics
  • Solar Flare Intensity Prediction With Machine Learning Models, 2020, Space Weather
  • Recurrent neural networks enable design of multifunctional synthetic human gut microbiome dynamics, 2022, eLife

Recognition for their professional contributions includes awards such as:

  • SIAM Fellow (2020) for contributions to the mathematical foundations of signal processing and data science
  • IEEE Fellow (1998) for contributions to the theory and practice of statistical signal processing, particularly in estimation, detection, and imaging

Best Publications

  • Locating the nodes: cooperative localization in wireless sensor networks

    N. Patwari;J.N. Ash;S. Kyperountas;A.O. Hero

  • Relative location estimation in wireless sensor networks

    N. Patwari;A.O. Hero;M. Perkins;N.S. Correal

  • Space-alternating generalized expectation-maximization algorithm

    J.A. Fessler;A.O. Hero

  • Sparse LMS for system identification

    Yilun Chen;Yuantao Gu;Alfred O. Hero

  • Distributed weighted-multidimensional scaling for node localization in sensor networks

    Jose A. Costa;Neal Patwari;Alfred O. Hero

  • Internet tomography

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

  • Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms

    Nicolas Dobigeon;Jean-Yves Tourneret;Cedric Richard;Jose Carlos M. Bermudez

  • Shrinkage Algorithms for MMSE Covariance Estimation

    Yilun Chen;Ami Wiesel;Yonina C Eldar;Alfred O Hero

  • A Fast Spectral Method for Active 3D Shape Reconstruction

    Jia Li;Alfred O. Hero

  • Using proximity and quantized RSS for sensor localization in wireless networks

    Neal Patwari;Alfred O. Hero

  • Joint Bayesian Endmember Extraction and Linear Unmixing for Hyperspectral Imagery

    N. Dobigeon;S. Moussaoui;M. Coulon;J.-Y. Tourneret

  • Lower bounds for parametric estimation with constraints

    J.D. Gorman;A.O. Hero

  • Penalized maximum-likelihood image reconstruction using space-alternating generalized EM algorithms

    J.A. Fessler;A.O. Hero

  • Secure space-time communication

    A.O. Hero

  • Geodesic entropic graphs for dimension and entropy estimation in manifold learning

    J.A. Costa;A.O. Hero

  • Energy-based sensor network source localization via projection onto convex sets

    D. Blatt;A.O. Hero

  • A Convergent Incremental Gradient Method with a Constant Step Size

    Doron Blatt;Alfred O. Hero;Hillel Gauchman

  • Applications of entropic spanning graphs

    A.O. Hero;Bing Ma;O.J.J. Michel;J. Gorman

  • Locating the Nodes

    Neal Patwari;Joshua N. Ash;Spyros Kyperountas;Alfred O. Hero

  • Robust Shrinkage Estimation of High-Dimensional Covariance Matrices

    Yilun Chen;A. Wiesel;A. O. Hero

  • Foundations and Applications of Sensor Management

    Alfred Olivier Hero;David Castan;Doug Cochran;Keith Kastella

Frequent Co-Authors

Jeffrey A. Fessler
Jeffrey A. Fessler University of Michigan–Ann Arbor
Pin-Yu Chen
Pin-Yu Chen IBM (United States)
Sijia Liu
Sijia Liu Michigan State University
Ami Wiesel
Ami Wiesel Hebrew University of Jerusalem
Christopher W. Woods
Christopher W. Woods Duke University
Nicolas Dobigeon
Nicolas Dobigeon National Polytechnic Institute of Toulouse
Anand Swaroop
Anand Swaroop National Institutes of Health
Neal Patwari
Neal Patwari Washington University in St. Louis
Geoffrey S. Ginsburg
Geoffrey S. Ginsburg Duke University
Jean-Yves Tourneret
Jean-Yves Tourneret National Polytechnic Institute of Toulouse

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