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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
123
Citations
170525
World Ranking
122
National Ranking
72

Alan C. Bovik 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 Alan C. Bovik 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: 915 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Alan C. Bovik 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 Alan C. Bovik 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: 123 D-Index — 99th percentile

99% 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

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2019 - IEEE Fourier Award for Signal Processing “For seminal contributions and high-impact innovations to the theory and application of perception-based image and video processing.”
  • 2008 - SPIE Fellow
  • 2007 - OSA Fellows For fundamental research contributions to and technical leadership in digital image and video processing.

Overview

Alan C. Bovik is affiliated with The University of Texas at Austin in the United States. Their primary field of study is Computer Science, with a specialization in several subfields including Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Cardiology and Cardiovascular Medicine, and Computational Mechanics.

The research topics covered by Alan C. Bovik include:

  • Image and Video Quality Assessment
  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Visual Attention and Saliency Detection
  • Video Coding and Compression Technologies
  • Advanced Image Fusion Techniques
  • Advanced Vision and Imaging

Recent publications by the scientist illustrate their ongoing contributions to these fields. These papers include:

  • MAXIM: Multi-Axis MLP for Image Processing, 2022, published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Study of Subjective and Objective Quality Assessment of Audio-Visual Signals, 2020, published in IEEE Transactions on Image Processing
  • Image Quality Assessment Using Contrastive Learning, 2022, published in IEEE Transactions on Image Processing
  • Day and Night-Time Dehazing by Local Airlight Estimation, 2020, published in IEEE Transactions on Image Processing
  • Dynamic Receptive Field Generation for Full-Reference Image Quality Assessment, 2020, published in IEEE Transactions on Image Processing

The most frequent publication venues for their work include:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • Signal Processing Image Communication
  • IEEE Signal Processing Letters
  • IEEE Access

Collaborations have been a significant aspect of Alan C. Bovik's research activities. Frequent co-authors include:

  • Zhengzhong Tu
  • Balu Adsumilli
  • Zaixi Shang
  • Yilin Wang
  • Abhinau K. Venkataramanan

Throughout their career, Alan C. Bovik has received various awards related to their work in digital image and video processing. These awards include:

  • IEEE Fourier Award for Signal Processing, 2019, for contributions to perception-based image and video processing
  • SPIE Fellow, 2008
  • OSA Fellow, 2007, for fundamental research in digital image and video processing

Best Publications

  • Image quality assessment: from error visibility to structural similarity

    Zhou Wang;A.C. Bovik;H.R. Sheikh;E.P. Simoncelli

  • Image information and visual quality

    H.R. Sheikh;A.C. Bovik

  • A universal image quality index

    Zhou Wang;A.C. Bovik

  • Multiscale structural similarity for image quality assessment

    Z. Wang;E.P. Simoncelli;A.C. Bovik

  • Making a “Completely Blind” Image Quality Analyzer

    A. Mittal;R. Soundararajan;A. C. Bovik

  • No-Reference Image Quality Assessment in the Spatial Domain

    A. Mittal;A. K. Moorthy;A. C. Bovik

  • Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures

    Zhou Wang;A.C. Bovik

  • A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms

    H.R. Sheikh;M.F. Sabir;A.C. Bovik

  • Handbook of Image and Video Processing

    Alan C. Bovik

  • Multichannel texture analysis using localized spatial filters

    A.C. Bovik;M. Clark;W.S. Geisler

  • Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality

    A. K. Moorthy;A. C. Bovik

  • Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain

    M. A. Saad;A. C. Bovik;C. Charrier

  • Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index

    Wufeng Xue;Lei Zhang;Xuanqin Mou;Alan C. Bovik

  • An information fidelity criterion for image quality assessment using natural scene statistics

    H.R. Sheikh;A.C. Bovik;G. de Veciana

  • Video Quality Assessment Based on Structural Distortion Measurement

    Zhou Wang;Zhou Wang;Ligang Lu;Alan C. Bovik

  • Multi-scale structural similarity for image quality assessment

    Zhou Wang;Eero P. Simoncelli;Alan C. Bovik

  • A Two-Step Framework for Constructing Blind Image Quality Indices

    A.K. Moorthy;A.C. Bovik

  • Study of Subjective and Objective Quality Assessment of Video

    Kalpana Seshadrinathan;Rajiv Soundararajan;Alan Conrad Bovik;Lawrence K Cormack

  • A Feature-Enriched Completely Blind Image Quality Evaluator

    Lin Zhang;Lei Zhang;Alan C. Bovik

  • No-reference perceptual quality assessment of JPEG compressed images

    Zhou Wang;H.R. Sheikh;A.C. Bovik

  • Image Quality Assessment: From Error Measurement to Structural Similarity

    Zhou Wang;Alan C. Bovik;Hamid R. Sheikh;Eero P. Simoncelli

Frequent Co-Authors

Lawrence K. Cormack
Lawrence K. Cormack The University of Texas at Austin
Sanghoon Lee
Sanghoon Lee Yonsei University
Zhou Wang
Zhou Wang University of Waterloo
Robert W. Heath
Robert W. Heath University of California, San Diego
Brian L. Evans
Brian L. Evans The University of Texas at Austin
Wilson S. Geisler
Wilson S. Geisler The University of Texas at Austin
Scott T. Acton
Scott T. Acton University of Virginia
Petros Maragos
Petros Maragos National Technical University of Athens
Jake K. Aggarwal
Jake K. Aggarwal The University of Texas at Austin
Joydeep Ghosh
Joydeep Ghosh The University of Texas at Austin

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