World's Best Scientists 2026 revealed!
Abdesselam Bouzerdoum

Abdesselam Bouzerdoum

D-Index & Metrics

Computer Science

D-Index
43
Citations
8797
World Ranking
7909
National Ranking
13

Abdesselam Bouzerdoum 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 Abdesselam Bouzerdoum 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: 355 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Abdesselam Bouzerdoum 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 Abdesselam Bouzerdoum 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Abdesselam Bouzerdoum is affiliated with Hamad bin Khalifa University in Qatar and has contributed extensively to the fields of Computer Science and Engineering. Their research spans multiple subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, and Ocean Engineering.

Their recent scholarly work includes papers published in various well-regarded venues. Notable publications include:

  • Breast Mass Tumor Classification using Deep Learning, 2020, 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)
  • Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Deep Gabor Neural Network for Automatic Detection of Mine-Like Objects in Sonar Imagery, 2020, IEEE Access
  • An unsupervised deep learning technique for susceptibility artifact correction in reversed phase-encoding EPI images, 2020, Magnetic Resonance Imaging
  • Compressive Radar Imaging of Stationary Indoor Targets With Low-Rank Plus Jointly Sparse and Total Variation Regularizations, 2020, IEEE Transactions on Image Processing

Abdesselam Bouzerdoum has collaborated frequently with several authors, including Son Lam Phung, Hamza Baali, Samir Brahim Belhaouari, Hoang Thanh Le, and Ashhadul Islam.

Their publications are often featured in prominent venues such as:

  • IEEE Access
  • IEEE Transactions on Geoscience and Remote Sensing
  • SSRN Electronic Journal
  • 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)
  • Neurocomputing

The scientist's research topics cover a range of advanced areas, including:

  • Geophysical Methods and Applications
  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Imbalanced Data Classification Techniques
  • Microwave Imaging and Scattering Analysis
  • Autonomous Vehicle Technology and Safety
  • Anomaly Detection Techniques and Applications

Best Publications

  • Skin segmentation using color pixel classification: analysis and comparison

    S.L. Phung;A. Bouzerdoum;D. Chai

  • Neural network for quadratic optimization with bound constraints

    A. Bouzerdoum;T.R. Pattison

  • A novel skin color model in YCbCr color space and its application to human face detection

    Son Lam Phung;A. Bouzerdoum;D. Chai

  • A Bayesian approach to skin color classification in YCbCr color space

    D. Chai;A. Bouzerdoum

  • Learning Pattern Classification Tasks with Imbalanced Data Sets

    Giang Hoang Nguyen;Abdesselam Bouzerdoum;Son Lam Phung

  • Shunting inhibitory cellular neural networks: derivation and stability analysis

    A. Bouzerdoum;R.B. Pinter

  • A Subspace Projection Approach for Wall Clutter Mitigation in Through-the-Wall Radar Imaging

    Fok Hing Chi Tivive;Abdesselam Bouzerdoum;Moeness G. Amin

  • A generalized feedforward neural network architecture for classification and regression

    Ganesh Arulampalam;Abdesselam Bouzerdoum

  • A Pyramidal Neural Network For Visual Pattern Recognition

    S.L. Phung;A. Bouzerdoum

  • A digital pixel sensor array with programmable dynamic range

    A. Kitchen;A. Bermak;A. Bouzerdoum

  • An insect vision-based motion detection chip

    A. Moini;A. Bouzerdoum;K. Eshraghian;A. Yakovleff

  • Skin segmentation using color and edge information

    S.L. Phung;A. Bouzerdoum;D. Chai

  • A survey of perceptual image processing methods

    Azeddine Beghdadi;Mohamed-Chaker Larabi;Abdesselam Bouzerdoum;Khan M. Iftekharuddin

  • A universal and robust human skin color model using neural networks

    Son Lam Phung;D. Chai;A. Bouzerdoum

  • An SVD-based approach for mitigating wall reflections in through-the-wall radar imaging

    Fok Hing Chi Tivive;Abdesselam Bouzerdoum;Moeness G. Amin

  • Adaptive skin segmentation in color images

    Son Lam Phung;D. Chai;A. Bouzerdoum

  • Image quality assessment using a neural network approach

    A. Bouzerdoum;A. Havstad;A. Beghdadi

  • Automatic Classification of Ground-Penetrating-Radar Signals for Railway-Ballast Assessment

    Wenbin Shao;Abdesselam Bouzerdoum;Son Lam Phung;Lijun Su

  • Nonlinear Lateral Inhibition Applied to Motion Detection in the fly Visual System

    Abdesselam Bouzerdoum;Robert B. Pinter

  • Efficient training algorithms for a class of shunting inhibitory convolutional neural networks

    Fok Hing Chi Tivive;A. Bouzerdoum

Frequent Co-Authors

Amine Bermak
Amine Bermak Hamad bin Khalifa University
Kashem M. Muttaqi
Kashem M. Muttaqi University of Wollongong
Farid Boussaid
Farid Boussaid University of Western Australia
Moeness G. Amin
Moeness G. Amin Villanova University
Azeddine Beghdadi
Azeddine Beghdadi Sorbonne University
Derek Abbott
Derek Abbott University of Adelaide
Daryoush Habibi
Daryoush Habibi Edith Cowan University
Cholachat Rujikiatkamjorn
Cholachat Rujikiatkamjorn University of Technology Sydney
Fauzia Ahmad
Fauzia Ahmad Temple University
Buddhima Indraratna
Buddhima Indraratna University of Technology Sydney

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