World's Best Scientists 2026 revealed!
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Computer Science
Saudi Arabia
2026

D-Index & Metrics

Computer Science

D-Index
73
Citations
15623
World Ranking
1623
National Ranking
8

Amjad Rehman 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 Amjad Rehman 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: 311 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Amjad Rehman 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 Amjad Rehman 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: 73 D-Index — 89th percentile

89% 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 Saudi Arabia Leader Award
  • 2025 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2023 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2022 - Research.com Computer Science in Saudi Arabia Leader Award

Overview

Amjad Rehman is affiliated with Prince Sultan University in Saudi Arabia and has contributed extensively to the field of computer science, with a particular focus on applications in medical imaging and IoT technologies.

Their research spans several subfields, including computer vision and pattern recognition, artificial intelligence, computer networks and communications, radiology, nuclear medicine and imaging, as well as information systems. Central topics in their work include AI in cancer detection, IoT and edge/fog computing, COVID-19 diagnosis using AI, brain tumor detection and classification, radiomics and machine learning in medical imaging, advanced neural network applications, and digital imaging for blood diseases.

Amjad Rehman has authored numerous papers, among which recent notable publications include:

  • "Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists," 2020, Diagnostics
  • "Anomaly-based intrusion detection system for IoT networks through deep learning model," 2022, Computers & Electrical Engineering
  • "Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture," 2020, Microscopy Research and Technique
  • "A Revisit of Internet of Things Technologies for Monitoring and Control Strategies in Smart Agriculture," 2022, Agronomy
  • "Skin cancer detection from dermoscopic images using deep learning and fuzzy k-means clustering," 2021, Microscopy Research and Technique

Their collaborations include frequent co-authors such as Tanzila Saba, Saeed Ali Bahaj, Khalid Haseeb, Faten S. Alamri, and Tariq Mahmood.

Amjad Rehman publishes regularly in several venues, with the most frequent being IEEE Access, Microscopy Research and Technique, Computers, Materials & Continua, IT Professional, and Sensors.

Best Publications

  • Anomaly-based intrusion detection system for IoT networks through deep learning model

    Unknown

  • A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks

    Farheen Ramzan;Muhammad Usman Ghani Khan;Asim Rehmat;Sajid Iqbal;Sajid Iqbal

  • Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists.

    Muhammad Attique Khan;Imran Ashraf;Majed Alhaisoni;Robertas Damaševičius;Robertas Damaševičius

  • Medical Image Segmentation Methods, Algorithms, and Applications

    Alireza Norouzi;Mohd Shafry Mohd Rahim;Ayman Altameem;Tanzila Saba

  • Classification of acute lymphoblastic leukemia using deep learning

    Amjad Rehman;Naveed Abbas;Tanzila Saba;Syed Ijaz ur Rahman

  • Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture

    Amjad Rehman;Muhammad Attique Khan;Tanzila Saba;Zahid Mehmood

  • Brain tumor segmentation in multi-spectral MRI using convolutional neural networks (CNN)

    Sajid Iqbal;M. Usman Ghani;Tanzila Saba;Amjad Rehman

  • Region Extraction and Classification of Skin Cancer: A Heterogeneous framework of Deep CNN Features Fusion and Reduction

    Tanzila Saba;Muhammad Attique Khan;Amjad Rehman;Souad Larabi Marie-Sainte

  • Skin cancer detection from dermoscopic images using deep learning and fuzzy k-means clustering

    Marriam Nawaz;Zahid Mehmood;Tahira Nazir;Rizwan Ali Naqvi

  • Brain tumor detection and multi-classification using advanced deep learning techniques

    Tariq Sadad;Amjad Rehman;Asim Munir;Tanzila Saba

  • Brain tumor detection and classification: A framework of marker-based watershed algorithm and multilevel priority features selection.

    Muhammad A. Khan;Ikram U. Lali;Amjad Rehman;Mubashar Ishaq

  • Multi-Model Deep Neural Network based Features Extraction and Optimal Selection Approach for Skin Lesion Classification

    Muhammad Attique Khan;Muhammad Younus Javed;Muhammad Sharif;Tanzila Saba

  • Secure and energy-efficient framework using Internet of Medical Things for e-healthcare.

    Tanzila Saba;Khalid Haseeb;Imran Ahmed;Amjad Rehman

  • Detection of copy-move image forgery based on discrete cosine transform

    Mohammed Hazim Alkawaz;Ghazali Sulong;Tanzila Saba;Amjad Rehman

  • Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition

    Muhammad Attique Khan;Muhammad Attique Khan;Muhammad Sharif;Tallha Akram;Mudassar Raza

  • Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection

    Abdul Majid;Muhammad Attique Khan;Mussarat Yasmin;Amjad Rehman

  • Deep learning model integrating features and novel classifiers fusion for brain tumor segmentation

    Sajid Iqbal;Sajid Iqbal;Muhammad U. Ghani Khan;Tanzila Saba;Zahid Mehmood

  • Brain Tumor Classification Using Meta-Heuristic Optimized Convolutional Neural Networks

    Unknown

  • Content-based image retrieval using PSO and k-means clustering algorithm

    Zeyad Safaa Younus;Zeyad Safaa Younus;Dzulkifli Mohamad;Tanzila Saba;Mohammed Hazim Alkawaz;Mohammed Hazim Alkawaz

  • Detecting Pneumonia Using Convolutions and Dynamic Capsule Routing for Chest X-ray Images

    Ansh Mittal;Deepika Kumar;Mamta Mittal;Tanzila Saba

  • A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features selection

    Muhammad Sharif;Muhammad Attique Khan;Tallha Akram;Muhammad Younus Javed

  • Neural networks for document image preprocessing: state of the art

    Amjad Rehman;Tanzila Saba

  • A Sustainable Deep Learning Framework for Object Recognition Using Multi-Layers Deep Features Fusion and Selection

    Muhammad Rashid;Muhammad Attique Khan;Majed Alhaisoni;Shui-Hua Wang

Frequent Co-Authors

Tanzila Saba
Tanzila Saba Prince Sultan University
Muhammad Attique Khan
Muhammad Attique Khan Prince Mohammad bin Fahd University
Muhammad Sharif
Muhammad Sharif King Fahd University of Petroleum and Minerals
Nadeem Javaid
Nadeem Javaid National Yunlin University of Science and Technology
Muhammad Sharif
Muhammad Sharif COMSATS University Islamabad
Tallha Akram
Tallha Akram Prince Sattam Bin Abdulaziz University
Jaime Lloret
Jaime Lloret Universitat Politècnica de València
Mudassar Raza
Mudassar Raza Namal College
Mueen Uddin
Mueen Uddin University of Doha for Science and Technology
Mussarat Yasmin
Mussarat Yasmin University of Gujrat

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