World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
9908
World Ranking
7123
National Ranking
27

Yakoub Bazi 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 Yakoub Bazi 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: 160 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Yakoub Bazi 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 Yakoub Bazi 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Yakoub Bazi is affiliated with King Saud University in Saudi Arabia and has a research focus centered on remote sensing and image analysis. Their work spans key fields such as Computer Science and Engineering, with specific contributions to subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging, and Atmospheric Science.

The main topics in Yakoub Bazi's research include:

  • Advanced Image and Video Retrieval Techniques
  • Remote-Sensing Image Classification
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Remote Sensing and Land Use
  • Image Retrieval and Classification Techniques
  • COVID-19 diagnosis using AI

Yakoub Bazi has contributed to several peer-reviewed publications, with notable recent papers including:

  • "Vision Transformers for Remote Sensing Image Classification," 2021, published in Remote Sensing
  • "Bi-Modal Transformer-Based Approach for Visual Question Answering in Remote Sensing Imagery," 2022, published in IEEE Transactions on Geoscience and Remote Sensing

Additionally, their frequent co-authors feature researchers such as Mohamad Mahmoud Al Rahhal, Mansour Zuair, Naif Alajlan, Haikel Alhichri, and Laila Bashmal.

Their work appears in key publication venues that include:

  • Remote Sensing
  • Applied Sciences
  • International Journal of Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

Yakoub Bazi's research showcases a blend of practical and theoretical approaches in applying machine learning, particularly transformers and convolutional neural networks, to remote sensing image classification, detection, and matching tasks. Their contributions involve exploring multimodal methods and domain adaptation strategies to address challenges in remote sensing imagery analysis.

Best Publications

  • An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images

    Y. Bazi;L. Bruzzone;F. Melgani

  • Deep learning approach for active classification of electrocardiogram signals

    M.M. Al Rahhal;Yakoub Bazi;Haikel AlHichri;Naif Alajlan

  • Classification of Electrocardiogram Signals With Support Vector Machines and Particle Swarm Optimization

    F. Melgani;Y. Bazi

  • Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing Images

    Y. Bazi;F. Melgani

  • Vision Transformers for Remote Sensing Image Classification

    Yakoub Bazi;Laila Bashmal;Mohamad Mahmoud Al Rahhal;Reham Al Dayil

  • Deep Learning Approach for Car Detection in UAV Imagery

    Nassim Ammour;Haikel Salem Alhichri;Yakoub Bazi;Bilel Benjdira

  • Image thresholding based on the EM algorithm and the generalized Gaussian distribution

    Yakoub Bazi;Lorenzo Bruzzone;Farid Melgani

  • Classification of Remote Sensing Images Using EfficientNet-B3 CNN Model With Attention

    Haikel Alhichri;Asma S. Alswayed;Yakoub Bazi;Nassim Ammour

  • One‐dimensional convolutional neural networks for spectroscopic signal regression

    Salim Malek;Farid Melgani;Yakoub Bazi

  • Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

    Bilel Benjdira;Yakoub Bazi;Anis Koubaa;Kais Ouni

  • Unsupervised Change Detection in Multispectral Remotely Sensed Imagery With Level Set Methods

    Yakoub Bazi;Farid Melgani;Hamed D Al-Sharari

  • Domain Adaptation Network for Cross-Scene Classification

    Esam Othman;Yakoub Bazi;Farid Melgani;Haikel Alhichri

  • Using convolutional features and a sparse autoencoder for land-use scene classification

    Esam Othman;Yakoub Bazi;Naif Alajlan;Haikel Alhichri

  • Gaussian Process Approach to Remote Sensing Image Classification

    Y. Bazi;F. Melgani

  • Convolutional SVM Networks for Object Detection in UAV Imagery

    Yakoub Bazi;Farid Melgani

  • Differential Evolution Extreme Learning Machine for the Classification of Hyperspectral Images

    Yakoub Bazi;Naif Alajlan;Farid Melgani;Haikel AlHichri

  • Efficient Framework for Palm Tree Detection in UAV Images

    Salim Malek;Yakoub Bazi;Naif Alajlan;Haikel AlHichri

  • Automatic identification of the number and values of decision thresholds in the log-ratio image for change detection in SAR images

    Y. Bazi;L. Bruzzone;F. Melgani

  • Convolutional Neural Networks for Electrocardiogram Classification

    Mohamad M. Al Rahhal;Yakoub Bazi;Mansour Al Zuair;Esam Othman

  • Semisupervised PSO-SVM Regression for Biophysical Parameter Estimation

    Y. Bazi;F. Melgani

  • Fusion of supervised and unsupervised learning for improved classification of hyperspectral images

    Naif Alajlan;Yakoub Bazi;Farid Melgani;Ronald R. Yager

Frequent Co-Authors

Naif Alajlan
Naif Alajlan King Saud University
Farid Melgani
Farid Melgani University of Trento
Ronald R. Yager
Ronald R. Yager Iona University
Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
Timon Rabczuk
Timon Rabczuk Bauhaus University, Weimar
Vladimir V. Lukin
Vladimir V. Lukin National Aerospace University – Kharkiv Aviation Institute

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