World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
12099
World Ranking
7050
National Ranking
3095

Les Atlas 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 Les Atlas 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: 222 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Les Atlas 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 Les Atlas 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: 45 D-Index — 51st percentile

51% 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

  • 2004 - IEEE Fellow For contributions to time-varying spectral analysis and acoustical signal processing.

Overview

Les Atlas is affiliated with the University of Washington in the United States. Their research spans multiple publications within the fields of Neuroscience and Computer Science, with a focus on subfields such as Cognitive Neuroscience, Signal Processing, Artificial Intelligence, Computer Networks and Communications, and Experimental and Cognitive Psychology.

The scientist's research interests are reflected in topics that include:

  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Blind Source Separation Techniques
  • Distributed Sensor Networks and Detection Algorithms
  • Wireless Signal Modulation Classification
  • Hearing Loss and Rehabilitation

Les Atlas has contributed to several papers including:

  • Inferring Neural Communication Dynamics from Field Potentials Using Graph Diffusion Autoregression, 2024, bioRxiv (Cold Spring Harbor Laboratory)
  • Improving the performance of the Bartlett method for single-snapshot direction-of-arrival (DOA) estimation using signal processing on graphs (SPG), 2020, The Journal of the Acoustical Society of America
  • Do humans integrate auditory and text information in a statistically optimal fashion?, 2021, The Journal of the Acoustical Society of America
  • Using a Novel COVID-19 Calculator to Measure Positive U.S. Socio-Economic Impact of a COVID-19 Pre-Screening Solution (AI/ML), 2022, arXiv (Cornell University)
  • Estimating and Analyzing Neural Information Flow Using Signal Processing on Graphs, 2022, arXiv (Cornell University)

Frequent co-authors collaborating with Les Atlas include:

  • Felix Schwock
  • Shima Abadi
  • Mert Pilancı
  • Julien Bloch
  • Karam Khateeb

Les Atlas has published predominantly in venues such as:

  • arXiv (Cornell University)
  • The Journal of the Acoustical Society of America
  • bioRxiv (Cold Spring Harbor Laboratory)

In recognition of professional contributions, Les Atlas was awarded the IEEE Fellow honor in 2004 for work related to time-varying spectral analysis and acoustical signal processing.

Best Publications

  • Electric load forecasting using an artificial neural network

    D.C. Park;M.A. El-Sharkawi;R.J. Marks;L.E. Atlas

  • Improving Generalization with Active Learning

    David Cohn;Les Atlas;Richard Ladner

  • Recurrent neural networks and robust time series prediction

    J.T. Connor;R.D. Martin;L.E. Atlas

  • The use of cone-shaped kernels for generalized time-frequency representations of nonstationary signals

    Y. Zhao;L.E. Atlas;R.J. Marks

  • Training Connectionist Networks with Queries and Selective Sampling

    Les E. Atlas;David A. Cohn;Richard E. Ladner

  • The challenge of spoken language systems: Research directions for the nineties

    R. Cole;L. Hirschman;L. Atlas;M. Beckman

  • Full-capacity unitary recurrent neural networks

    Scott Wisdom;Thomas Powers;John R. Hershey;Jonathan Le Roux

  • Joint acoustic and modulation frequency

    Les Atlas;Shihab A. Shamma

  • Construction of positive time-frequency distributions

    P.J. Loughlin;J.W. Pitton;L.E. Atlas

  • A performance comparison of trained multilayer perceptrons and trained classification trees

    L. Atlas;J. Connor;D. Park;M. El-Sharkawi

  • Hidden Markov models for monitoring machining tool-wear

    L. Atlas;M. Ostendorf;G.D. Bernard

  • A performance comparison of trained multilayer perceptrons and trained classification trees

    L. Atlas;R. Cole;Y. Muthusamy;A. Lippman

  • Bilinear time-frequency representations: new insights and properties

    P.J. Loughlin;J.W. Pitton;L.E. Atlas

  • Optimizing time-frequency kernels for classification

    B.W. Gillespie;L.E. Atlas

  • Modulation-scale analysis for content identification

    S. Sukittanon;L.E. Atlas;J.W. Pitton

  • Self-organizing feature maps and hidden Markov models for machine-tool monitoring

    L.M.D. Owsley;L.E. Atlas;G.D. Bernard

  • Coherent envelope detection for modulation filtering of speech

    S. Schimmel;L. Atlas

  • Recurrent neural networks and time series prediction

    J. Connor;L. Atlas

  • Recurrent Networks and NARMA Modeling

    Jerome Connor;Les E. Atlas;Douglas R. Martin

  • Scalable and progressive audio codec

    M.S. Vinton;L.E. Atlas

Frequent Co-Authors

Robert J. Marks
Robert J. Marks Baylor University
Jasha Droppo
Jasha Droppo Amazon (United States)
Mari Ostendorf
Mari Ostendorf University of Washington
Howard Jay Chizeck
Howard Jay Chizeck University of Washington
Richard E. Ladner
Richard E. Ladner University of Washington
Mohamed A. El-Sharkawi
Mohamed A. El-Sharkawi University of Washington
Hynek Hermansky
Hynek Hermansky Johns Hopkins University
Mark A. Clements
Mark A. Clements Georgia Institute of Technology
Fei Sha
Fei Sha Facebook (United States)

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