World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
8200
World Ranking
9188
National Ranking
3911

James E. Fowler 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 James E. Fowler 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: 184 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

James E. Fowler 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 James E. Fowler 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: 40 D-Index — 37th percentile

37% 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

  • 2017 - IEEE Fellow For contributions to lossy source coding and dimensionality reduction of multidimensional data

Overview

James E. Fowler is a researcher affiliated with Mississippi State University in the United States. Their work spans multiple fields including engineering, computer science, and medicine. The primary research areas focus on computer vision and pattern recognition, media technology, and artificial intelligence, alongside contributions to clinical psychology and computational mechanics.

The scientist's recent publications reflect extensive work in remote sensing and image processing. Key papers include:

  • Hyperspectral Restoration and Fusion With Multispectral Imagery via Low-Rank Tensor-Approximation, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • Hypergraph-Regularized Low-Rank Subspace Clustering Using Superpixels for Unsupervised Spatial-Spectral Hyperspectral Classification, 2020, IEEE Geoscience and Remote Sensing Letters
  • Computationally Lightweight Hyperspectral Image Classification Using a Multiscale Depthwise Convolutional Network With Channel Attention, 2023, IEEE Geoscience and Remote Sensing Letters
  • Local-Global Active Learning Based on a Graph Convolutional Network for Semi-Supervised Classification of Hyperspectral Imagery, 2023, IEEE Geoscience and Remote Sensing Letters
  • The Foundations of Computational Imaging: A signal processing perspective, 2023, IEEE Signal Processing Magazine

Major publication venues for the scientist include:

  • IEEE Geoscience and Remote Sensing Letters
  • IEEE Signal Processing Magazine
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • UNC Libraries

The scientist collaborates frequently with colleagues including Wei Li, Zhen Ye, Lin Bai, Cuiling Li, and Qingxin Liu.

The main topics of their work cover:

  • Remote-Sensing Image Classification
  • Advanced Image Fusion Techniques
  • Image and Signal Denoising Methods
  • Sparse and Compressive Sensing Techniques
  • Remote Sensing and Land Use
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning

James E. Fowler received the IEEE Fellow award in 2017 for contributions to lossy source coding and dimensionality reduction of multidimensional data.

Best Publications

  • Block Compressed Sensing of Images Using Directional Transforms

    Sungkwang Mun;James E. Fowler

  • Hyperspectral Image Compression Using JPEG2000 and Principal Component Analysis

    Qian Du;J.E. Fowler

  • Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis

    Wei Li;S. Prasad;J. E. Fowler;L. M. Bruce

  • The redundant discrete wavelet transform and additive noise

    J.E. Fowler

  • QccPack: an open-source software library for quantization, compression, and coding

    J.E. Fowler

  • Compressed-sensing recovery of images and video using multihypothesis predictions

    Chen Chen;Eric W. Tramel;James E. Fowler

  • Block-Based Compressed Sensing of Images and Video

    James E. Fowler;Sungkwang Mun;Eric W. Tramel

  • Nearest Regularized Subspace for Hyperspectral Classification

    Wei Li;Eric W. Tramel;Saurabh Prasad;James E. Fowler

  • Residual Reconstruction for Block-Based Compressed Sensing of Video

    Sungkwang Mun;James E. Fowler

  • Compressive-Projection Principal Component Analysis

    J.E. Fowler

  • Multiscale block compressed sensing with smoothed projected Landweber reconstruction

    James E. Fowler;Sungkwang Mun;Eric W. Tramel

  • Hyperspectral Image Classification Using Gaussian Mixture Models and Markov Random Fields

    Wei Li;Saurabh Prasad;James E. Fowler

  • Low-Complexity Principal Component Analysis for Hyperspectral Image Compression

    Qian Du;James E. Fowler

  • Locality-Preserving Discriminant Analysis in Kernel-Induced Feature Spaces for Hyperspectral Image Classification

    Wei Li;S. Prasad;J. E. Fowler;L. M. Bruce

  • Sparse Graph-Based Discriminant Analysis for Hyperspectral Imagery

    Nam Hoai Ly;Qian Du;James E. Fowler

  • Video Compressed Sensing with Multihypothesis

    Eric W. Tramel;James E. Fowler

  • Three‐Dimensional Wavelet‐Based Compression of Hyperspectral Imagery

    James E. Fowler;Justin T. Rucker

  • Lossless compression of volume data

    James E. Fowler;Roni Yagel

  • Anomaly Detection and Reconstruction From Random Projections

    J. E. Fowler;Qian Du

  • Wavelet transforms for vector fields using omnidirectionally balanced multiwavelets

    J.E. Fowler;Li Hua

Frequent Co-Authors

Qian Du
Qian Du Mississippi State University
Wei Li
Wei Li Beijing Institute of Technology
Saurabh Prasad
Saurabh Prasad University of Houston
Beatrice Pesquet-Popescu
Beatrice Pesquet-Popescu University of Paris-Saclay
Ran Tao
Ran Tao Beijing Institute of Technology
Roni Yagel
Roni Yagel InSightec (Israel)
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Raghu Machiraju
Raghu Machiraju The Ohio State University
Marco Tagliasacchi
Marco Tagliasacchi Google (Switzerland)
Jose M. Bioucas-Dias
Jose M. Bioucas-Dias Instituto Superior Técnico

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