World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
21918
World Ranking
6639
National Ranking
2933

Marco F. Duarte 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 Marco F. Duarte 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: 130 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Marco F. Duarte 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 Marco F. Duarte 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Marco F. Duarte is affiliated with the University of Massachusetts Amherst in the United States and has a research focus spanning engineering and computer science, with particular attention to artificial intelligence, information systems and management, signal processing, aerospace engineering, and media technology.

Their main research topics include:

  • Explainable Artificial Intelligence (XAI)
  • Scientific Computing and Data Management
  • Machine Learning in Materials Science
  • Cell Image Analysis Techniques
  • Direction-of-Arrival Estimation Techniques
  • Speech and Audio Processing
  • Indoor and Outdoor Localization Technologies

Marco F. Duarte has contributed to publications in several notable venues, including:

  • IEEE Access
  • ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • Sensors
  • IEEE Transactions on Signal Processing
  • arXiv (Cornell University)

Among recent papers authored or coauthored by Duarte are:

  • Explainable Machine Learning for Scientific Insights and Discoveries, 2020, IEEE Access
  • EXPLAIN IT TO ME - FACING REMOTE SENSING CHALLENGES IN THE BIO- AND GEOSCIENCES WITH EXPLAINABLE MACHINE LEARNING, 2020, ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • Cramér-Rao Bounds for DoA Estimation of Sparse Bayesian Learning with the Laplace Prior, 2022, Sensors
  • Binary Sequence Set Design for Interferer Rejection in Multi-Branch Modulation, 2020, IEEE Transactions on Signal Processing
  • SpectraLift: Physics-Guided Spectral-Inversion Network for Self-Supervised Hyperspectral Image Super-Resolution, 2025, arXiv (Cornell University)

Duarte frequently collaborates with other researchers, including Ribana Roscher, Bastian Bohn, Jochen Garcke, Hua Bai, and Ramakrishna Janaswamy.

Best Publications

  • Single-Pixel Imaging via Compressive Sampling

    M.F. Duarte;M.A. Davenport;D. Takhar;J.N. Laska

  • Model-Based Compressive Sensing

    R.G. Baraniuk;V. Cevher;M.F. Duarte;C. Hegde

  • Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals

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

  • Structured Compressed Sensing: From Theory to Applications

    M. F. Duarte;Y. C. Eldar

  • Explainable Machine Learning for Scientific Insights and Discoveries

    Ribana Roscher;Bastian Bohn;Marco F. Duarte;Jochen Garcke

  • A new compressive imaging camera architecture using optical-domain compression

    Dharmpal Takhar;Jason N. Laska;Michael B. Wakin;Marco F. Duarte

  • Introduction to compressed sensing

    Mark A. Davenport;Marco F. Duarte;Yonina C. Eldar;Gitta Kutyniok

  • Distributed Compressed Sensing of Jointly Sparse Signals

    M.F. Duarte;S. Sarvotham;D. Baron;M.B. Wakin

  • Vehicle classification in distributed sensor networks

    Marco F. Duarte;Yu Hen Hu

  • Kronecker Compressive Sensing

    M. F. Duarte;R. G. Baraniuk

  • Analog-to-Information Conversion via Random Demodulation

    Sami Kirolos;Jason Laska;Michael Wakin;Marco Duarte

  • Theory and Implementation of an Analog-to-Information Converter using Random Demodulation

    J.N. Laska;S. Kirolos;M.F. Duarte;T.S. Ragheb

  • Spectral compressive sensing

    Marco F. Duarte;Richard G. Baraniuk

  • An Architecture for Compressive Imaging

    Michael Wakin;Jason Laska;Marco Duarte;Dror Baron

  • Distributed Compressive Sensing

    Dror Baron;Marco F. Duarte;Michael B. Wakin;Shriram Sarvotham

  • Random Filters for Compressive Sampling and Reconstruction

    J.A. Tropp;M.B. Wakin;M.F. Duarte;D. Baron

  • Compressive Sensing for Background Subtraction

    Volkan Cevher;Aswin Sankaranarayanan;Marco F. Duarte;Dikpal Reddy

  • The smashed filter for compressive classification and target recognition

    Mark A. Davenport;Marco F. Duarte;Michael B. Wakin;Jason N. Laska

  • Compressive imaging for video representation and coding

    Michael B. Wakin;Jason N. Laska;Marco F. Duarte;Dror Baron

  • Sparse Signal Detection from Incoherent Projections

    M.F. Duarte;M.A. Davenport;M.B. Wakin;R.G. Baraniuk

Frequent Co-Authors

Richard G. Baraniuk
Richard G. Baraniuk Rice University
Michael B. Wakin
Michael B. Wakin Colorado School of Mines
Mark A. Davenport
Mark A. Davenport Georgia Institute of Technology
Volkan Cevher
Volkan Cevher École Polytechnique Fédérale de Lausanne
Yu Hen Hu
Yu Hen Hu University of Wisconsin–Madison
Yehia Massoud
Yehia Massoud Stevens Institute of Technology
Joel A. Tropp
Joel A. Tropp California Institute of Technology
David G. Stork
David G. Stork Stanford University
Dennis Goeckel
Dennis Goeckel University of Massachusetts Amherst
Søren Holdt Jensen
Søren Holdt Jensen University of Extremadura

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