World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
12777
World Ranking
4533
National Ranking
2126

Trac D. Tran 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 Trac D. Tran 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: 334 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Trac D. Tran 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 Trac D. Tran 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: 54 D-Index — 69th percentile

69% 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

  • 2014 - IEEE Fellow For contributions to multirate and sparse signal processing

Overview

Trac D. Tran is a researcher affiliated with Johns Hopkins University in the United States, specializing principally in Computer Science and Engineering. Their scholarly output includes 28 publications in each of these main fields, reflecting a consistent research focus over time.

The scientist's subfields of study are diverse and encompass Computer Vision and Pattern Recognition, Computational Mechanics, Signal Processing, Electrical and Electronic Engineering, and Artificial Intelligence. These areas indicate a strong emphasis on both theoretical and applied aspects of image processing and signal analysis.

The primary research topics associated with their work include Sparse and Compressive Sensing Techniques, which constitute the largest portion of their work. Other significant topics include Advanced Image Processing Techniques, Distributed Sensor Networks and Detection Algorithms, Indoor and Outdoor Localization Technologies, Speech and Audio Processing, Advanced Vision and Imaging, and Image Processing Techniques and Applications.

Among Trac D. Tran's notable papers are:

  • "Deep Learning to Obtain Simultaneous Image and Segmentation Outputs From a Single Input of Raw Ultrasound Channel Data" (2020), published in IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
  • "Real-Time and Deep Learning Based Vehicle Detection and Classification Using Pixel-Wise Code Exposure Measurements" (2020), published in Electronics
  • "Detection and Confirmation of Multiple Human Targets Using Pixel-Wise Code Aperture Measurements" (2020), published in Journal of Imaging
  • "Compressed sensing in photonics: tutorial" (2022), published in Journal of the Optical Society of America B
  • "Joint Down-Range and Cross-Range RFI Suppression in Ultra-Wideband SAR" (2020), published in IEEE Transactions on Geoscience and Remote Sensing

They frequently collaborate with a set of coauthors, including Shuai Huang, Yang Jiao, Guangming Shi, Chiman Kwan, and David Gribben, with multiple joint publications recorded with each.

Trac D. Tran has contributed extensively to publication venues such as arXiv (Cornell University) with 10 papers, the 2021 55th Asilomar Conference on Signals, Systems, and Computers with 2 papers, as well as individual papers in IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Electronics, and Journal of Imaging.

The scientist was named an IEEE Fellow in 2014, with the citation noting contributions to multirate and sparse signal processing.

Best Publications

  • Hyperspectral Image Classification Using Dictionary-Based Sparse Representation

    Yi Chen;Nasser M. Nasrabadi;Trac D. Tran

  • Sparsity adaptive matching pursuit algorithm for practical compressed sensing

    T.T. Do;Lu Gan;Nam Nguyen;T.D. Tran

  • Hyperspectral Image Classification via Kernel Sparse Representation

    Yi Chen;N. M. Nasrabadi;T. D. Tran

  • Sparse Representation for Target Detection in Hyperspectral Imagery

    Yi Chen;N M Nasrabadi;T D Tran

  • Distributed Compressed Video Sensing

    Thong T. Do;Yi Chen;Dzung T. Nguyen;Nam Nguyen

  • Fast multiplierless approximations of the DCT with the lifting scheme

    Jie Liang;T.D. Tran

  • Fast and Efficient Compressive Sensing Using Structurally Random Matrices

    Thong T. Do;Lu Gan;Nam H. Nguyen;Trac D. Tran

  • Fast compressive imaging using scrambled block Hadamard ensemble

    Lu Gan;Thong T. Do;Trac D. Tran

  • The binDCT: fast multiplierless approximation of the DCT

    T.D. Tran

  • Lapped transform via time-domain pre- and post-filtering

    T.D. Tran;Jie Liang;Chengjie Tu

  • Fast compressive sampling with structurally random matrices

    T.T. Do;T.D. Tran;Lu Gan

  • Linear-phase perfect reconstruction filter bank: lattice structure, design, and application in image coding

    T.D. Tran;R.L. de Queiroz;T.Q. Nguyen

  • Simultaneous Joint Sparsity Model for Target Detection in Hyperspectral Imagery

    Yi Chen;N. M. Nasrabadi;T. D. Tran

  • Context-based entropy coding of block transform coefficients for image compression

    C. Tu;T.D. Tran

  • A Fully Integrated Wireless Compressed Sensing Neural Signal Acquisition System for Chronic Recording and Brain Machine Interface

    Xilin Liu;Milin Zhang;Tao Xiong;Andrew G. Richardson

  • Robust Lasso With Missing and Grossly Corrupted Observations

    Nam H. Nguyen;Trac D. Tran

  • Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification

    Xiaoxia Sun;Qing Qu;Nasser M. Nasrabadi;Trac D. Tran

  • Adversarial deep structured nets for mass segmentation from mammograms

    Wentao Zhu;Xiang Xiang;Trac D. Tran;Gregory D. Hager

  • On M-channel linear phase FIR filter banks and application in image compression

    Trac Duy Tran;T.Q. Nguyen

  • Exact Recoverability From Dense Corrupted Observations via $ll _{1}$ -Minimization

    N. H. Nguyen;T. D. Tran

  • Robust Lasso with missing and grossly corrupted observations

    Nasser M. Nasrabadi;Trac D. Tran;Nam Nguyen

Frequent Co-Authors

Nasser M. Nasrabadi
Nasser M. Nasrabadi West Virginia University
Ralph Etienne-Cummings
Ralph Etienne-Cummings Johns Hopkins University
Truong Q. Nguyen
Truong Q. Nguyen University of California, San Diego
Chiman Kwan
Chiman Kwan Signal Processing (United States)
Vishal Monga
Vishal Monga Pennsylvania State University
Mark A. Foster
Mark A. Foster Johns Hopkins University
Gregory D. Hager
Gregory D. Hager Johns Hopkins University
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Jian Cheng
Jian Cheng Chinese Academy of Sciences
Xiaohui Xie
Xiaohui Xie University of California, Irvine

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