World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
16524
World Ranking
6029
National Ranking
2712

Dzung L. Pham 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 Dzung L. Pham 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: 192 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Dzung L. Pham 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 Dzung L. Pham 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Dzung L. Pham is affiliated with the Henry M. Jackson Foundation in the United States and has a significant body of research focused primarily in the field of Medicine, with an emphasis on Radiology, Nuclear Medicine and Imaging, Epidemiology, Computer Vision and Pattern Recognition, Neurology, and Pulmonary and Respiratory Medicine.

The scientist's work extensively covers topics including Traumatic Brain Injury Research, Advanced MRI Techniques and Applications, Trauma-related Neurovascular Disturbances, Automotive and Human Injury Biomechanics, Multiple Sclerosis Research Studies, and Advanced Image Processing and Neuroimaging Techniques.

Dzung L. Pham has published numerous papers in various respected venues. Some of the recent publications include:

  • Neurofilament light as a biomarker in traumatic brain injury, 2020, Neurology
  • Time course and diagnostic utility of NfL, tau, GFAP, and UCH-L1 in subacute and chronic TBI, 2020, Neurology
  • Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis, 2020, Scientific Reports
  • SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning, 2020, IEEE Transactions on Medical Imaging
  • Brain and blood biomarkers of tauopathy and neuronal injury in humans and rats with neurobehavioral syndromes following blast exposure, 2020, Molecular Psychiatry

Publications frequently appear in venues such as arXiv (Cornell University), Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition, Lecture Notes in Computer Science, Neurology, and bioRxiv (Cold Spring Harbor Laboratory).

Frequent collaborators include:

  • Jerry L. Prince
  • John A. Butman
  • Aaron Carass
  • Samuel W. Remedios
  • Yi-Yu Chou

The scientist's research demonstrates integration of advanced imaging methodologies, biomarker studies, and computational techniques to investigate neurological injury and disease. Their contributions encompass both clinical and technical aspects of medical imaging, particularly focusing on traumatic brain injury and related neurobiological processes.

Best Publications

  • Current methods in medical image segmentation.

    Dzung L. Pham;Chenyang Xu;Jerry L. Prince

  • Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain

    Susan M. Resnick;Dzung L. Pham;Michael A. Kraut;Alan B. Zonderman

  • Adaptive fuzzy segmentation of magnetic resonance images

    D.L. Pham;J.L. Prince

  • An adaptive fuzzy C -means algorithm for image segmentation in the presence of intensity inhomogeneities

    Dzung L. Pham;Jerry L. Prince

  • A Survey of Current Methods in Medical Image Segmentation

    Dzung L. Pham;Chenyang Xu;Jerry L. Prince

  • Image Segmentation Using Deformable Models

    Dzung L. Pham;Chenyang Xu;Jerry L. Prince

  • Spatial Models for Fuzzy Clustering

    Dzung L. Pham

  • Statistical normalization techniques for magnetic resonance imaging

    Russell T. Shinohara;Elizabeth M. Sweeney;Jeff Goldsmith;Navid Shiee

  • A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions.

    Navid Shiee;Pierre Louis Bazin;Arzu Ozturk;Daniel S. Reich

  • Longitudinal multiple sclerosis lesion segmentation: Resource and challenge.

    Aaron Carass;Snehashis Roy;Amod Jog;Jennifer L. Cuzzocreo

  • An image-processing system for qualitative and quantitative volumetric analysis of brain images.

    Alberto F. Goldszal;Christos Davatzikos;Dzung L. Pham;Dzung L. Pham;Michelle X.H. Yan

  • Reconstruction of the human cerebral cortex from magnetic resonance images

    C. Xu;D.L. Pham;M.E. Rettmann;D.N. Yu

  • CRUISE: cortical reconstruction using implicit surface evolution.

    Xiao Han;Dzung L. Pham;Duygu Tosun;Maryam E. Rettmann

  • DeepHarmony: A deep learning approach to contrast harmonization across scanner changes.

    Blake E. Dewey;Blake E. Dewey;Can Zhao;Jacob C. Reinhold;Aaron Carass

  • Random forest regression for magnetic resonance image synthesis.

    Amod Jog;Aaron Carass;Snehashis Roy;Dzung L. Pham

  • Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis

    Aaron Carass;Snehashis Roy;Adrian Gherman;Jacob C. Reinhold

  • SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning

    Can Zhao;Blake E. Dewey;Dzung L. Pham;Peter A. Calabresi

  • Fuzzy clustering with spatial constraints

    D.L. Pham

  • Topology-Preserving Tissue Classification of Magnetic Resonance Brain Images

    P.-L. Bazin;D.L. Pham

  • The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software

    Blake C. Lucas;Blake C. Lucas;John A. Bogovic;Aaron Carass;Pierre Louis Bazin

  • Volumetric Neuroimage Analysis Extensions for the MIPAV Software Package

    Pierre Louis Bazin;Jennifer L. Cuzzocreo;Michael A. Yassa;William Gandler

  • Homeomorphic brain image segmentation with topological and statistical atlases

    Pierre Louis Bazin;Dzung L. Pham

Frequent Co-Authors

Jerry L. Prince
Jerry L. Prince Johns Hopkins University
Daniel S. Reich
Daniel S. Reich National Institutes of Health
Peter A. Calabresi
Peter A. Calabresi Johns Hopkins University School of Medicine
Pierre-Louis Bazin
Pierre-Louis Bazin University of Amsterdam
Aaron Carass
Aaron Carass Johns Hopkins University
Chenyang Xu
Chenyang Xu Princeton University
Russell T. Shinohara
Russell T. Shinohara University of Pennsylvania
Susan M. Resnick
Susan M. Resnick National Institutes of Health
Peter C.M. van Zijl
Peter C.M. van Zijl Kennedy Krieger Institute
Philip V. Bayly
Philip V. Bayly Washington University in St. Louis

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens up a wide array of online degrees and specialized career tracks. Opportunities abound, with online learning providing flexibility for students balancing work and personal commitments. To find a good fit, you can browse most popular online colleges offering recognized and comprehensive programs.

Aspiring professionals looking to enter rapidly expanding fields might consider focused degree options. For example, a video game programs can lead to dynamic careers in game development or interactive media. Meanwhile, those interested in online safety and technology may opt for a cybersecurity degree online, preparing graduates to combat cyber threats and protect digital assets.

For students intrigued by technology’s impact on the physical world, a construction management degree is another viable pathway, blending IT skills with project management in building industries. Each of these pathways leverages a strong Computer Science foundation and can position graduates for thriving, future-ready careers.

Best Scientists Citing Dzung L. Pham

Trending Scientists

Recently Published Articles