World's Best Scientists 2026 revealed!
Dimitris G. Manolakis

Dimitris G. Manolakis

D-Index & Metrics

Computer Science

D-Index
36
Citations
25002
World Ranking
10949
National Ranking
4551

Dimitris G. Manolakis 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 Dimitris G. Manolakis 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: 185 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Dimitris G. Manolakis 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 Dimitris G. Manolakis 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: 36 D-Index — 23rd percentile

23% 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

  • 2016 - IEEE Fellow For contributions to signal processing education, algorithms for adaptive filtering, and hyperspectral imaging

Overview

Dimitris G. Manolakis is affiliated with MIT in the United States and has a research focus within the field of engineering, with particular emphasis on aerospace engineering, media technology, atmospheric science, analytical chemistry, and environmental engineering. Their research contributions span a range of topics related to remote sensing, spectroscopy, and measurement techniques.

The main topics covered in their work include:

  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Spectroscopy and Chemometric Analyses
  • Urban Heat Island Mitigation
  • Calibration and Measurement Techniques
  • Infrared Target Detection Methodologies

Manolakis has authored papers published predominantly in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Notable recent publications include:

  • Efficient Hyperspectral Target Detection and Identification With Large Spectral Libraries, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Wavelength Calibration Correction Technique for Improved Emissivity Retrieval, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Their frequent collaborators include Michael Pieper, Randall L. Bostick, T. Cooley, Cooper Loughlin, and Andrew Weisner.

Among distinctions received, Dimitris G. Manolakis was named an IEEE Fellow in 2016 for contributions to signal processing education, algorithms for adaptive filtering, and hyperspectral imaging.

Best Publications

  • Digital Signal Processing: Principles, Algorithms, and Applications

    John G. Proakis;Dimitris G. Manolakis

  • Statisical and Adaptive Signal Processing

    Vinay Ingle;Stephen Kogon;Dimitris Manolakis

  • Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing

    Dimitris G. Manolakis;Vinay K. Ingle;Stephen M. Kogon

  • Detection algorithms for hyperspectral imaging applications

    D. Manolakis;G. Shaw

  • Hyperspectral Image Processing for Automatic Target Detection Applications

    Dimitris Manolakis;David Marden;Gary A. Shaw

  • Digital signal processing (3rd ed.): principles, algorithms, and applications

    John G. Proakis;Dimitris G. Manolakis

  • Introduction to Digital Signal Processing

    John G. Proakis;Dimitris G. Manolakis

  • Signal processing for hyperspectral image exploitation

    G. Shaw;D. Manolakis

  • Hyperspectral subpixel target detection using the linear mixing model

    D. Manolakis;C. Siracusa;G. Shaw

  • A fast sequential algorithm for least-squares filtering and prediction

    G. Carayannis;D. Manolakis;N. Kalouptsidis

  • Detection Algorithms in Hyperspectral Imaging Systems: An Overview of Practical Algorithms

    Dimitris Manolakis;Eric Truslow;Michael Pieper;Thomas Cooley

  • Applied Digital Signal Processing: Theory and Practice

    Dimitris G. Manolakis;Vinay K. Ingle

  • Is there a best hyperspectral detection algorithm

    D. Manolakis;R. Lockwood;T. Cooley;J. Jacobson

  • A recursive modified Gram-Schmidt algorithm for least- squares estimation

    Fuyun Ling;D. Manolakis;J. Proakis

  • Comparative analysis of hyperspectral adaptive matched filter detectors

    Dimitris G. Manolakis;Gary A. Shaw;Nirmal Keshava

  • Hyperspectral Imaging Remote Sensing: Physics, Sensors, and Algorithms

    Dimitris G. Manolakis;Ronald B. Lockwood;Thomas W. Cooley

  • Algorithm taxonomy for hyperspectral unmixing

    Nirmal Keshava;John P. Kerekes;Dimitris G. Manolakis;Gary A. Shaw

  • Taxonomy of detection algorithms for hyperspectral imaging applications

    Dimitris G. Manolakis

  • Numerically robust least-squares lattice-ladder algorithms with direct updating of the reflection coefficients

    Fuyun Ling;D. Manolakis;J. Proakis

  • Statistics of hyperspectral imaging data

    Dimitris G. Manolakis;David Marden;John P. Kerekes;Gary A. Shaw

  • Detection algorithms for hyperspectral imaging applications: a signal processing perspective

    D. Manolakis

Frequent Co-Authors

John G. Proakis
John G. Proakis Northeastern University
Claude Galand
Claude Galand IBM (United States)

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