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Muhammad Attique Khan
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Computer Science
Saudi Arabia
2026
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Computer Science
Pakistan
2025

D-Index & Metrics

Computer Science

D-Index
71
Citations
15558
World Ranking
1808
National Ranking
10

Muhammad Attique Khan 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 Muhammad Attique Khan 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: 248 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Muhammad Attique Khan 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 Muhammad Attique Khan 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: 71 D-Index — 88th percentile

88% 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 Pakistan Leader Award
  • 2023 - Research.com Computer Science in Pakistan Leader Award
  • 2022 - Research.com Computer Science in Pakistan Leader Award

Overview

Muhammad Attique Khan is affiliated with HITEC University in Pakistan and has a research profile prominently centered on the intersection of computer science and medicine. Their body of work includes a focus on artificial intelligence, computer vision, and medical imaging, applying these domains primarily towards healthcare applications such as cancer detection and brain tumor analysis.

Their research contributions cover several main fields of study:

  • Computer Science
  • Medicine

Within these broad domains, their subfields of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Plant Science
  • Biomedical Engineering

Key topics addressed in their work focus on:

  • AI in cancer detection
  • COVID-19 diagnosis using AI
  • Brain Tumor Detection and Classification
  • Anomaly Detection Techniques and Applications
  • Smart Agriculture and AI
  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods

Frequent co-authors in their publications include:

  • Majed Alhaisoni
  • Usman Tariq
  • Seifedine Kadry
  • Yunyoung Nam
  • Robertas Damaševičius

They have frequently published in several venues, with the most common being:

  • Computers, materials & continua/Computers, materials & continua (Print)
  • Diagnostics
  • Sensors
  • Computer Systems Science and Engineering
  • Multimedia Tools and Applications

Some of their recent papers exemplify the range of their investigations:

  • Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists (2020), Diagnostics
  • A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics (2022), Computers in Biology and Medicine
  • Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture (2020), Microscopy Research and Technique
  • A decision support system for multimodal brain tumor classification using deep learning (2021), Complex & Intelligent Systems
  • Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion (2022), Sensors

This scientist's work often revolves around leveraging advanced AI and machine learning techniques for diagnostic and decision support systems in medical contexts, particularly for imaging-based disease identification. Their research spans both methodological advancements and applied studies aimed at improving clinical workflows and outcomes through computational techniques.

Best Publications

  • An automated detection and classification of citrus plant diseases using image processing techniques: A review

    Zahid Iqbal;Muhammad Attique Khan;Muhammad Attique Khan;Muhammad Sharif;Jamal Hussain Shah

  • Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection

    Muhammad Sharif;Muhammad Attique Khan;Muhammad Attique Khan;Zahid Iqbal;Muhammad Faisal Azam

  • A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics

    Unknown

  • 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

  • Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images

    Muhammad Irfan Sharif;Jian Ping Li;Muhammad Attique Khan;Muhammad Asim Saleem

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

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

  • Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion

    Unknown

  • A citrus fruits and leaves dataset for detection and classification of citrus diseases through machine learning.

    Hafiz Tayyab Rauf;Basharat Ali Saleem;M. Ikram Ullah Lali;Muhammad Attique Khan

  • 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

  • A decision support system for multimodal brain tumor classification using deep learning

    Muhammad Imran Sharif;Muhammad Attique Khan;Musaed Alhussein;Khursheed Aurangzeb

  • Skin lesion segmentation and multiclass classification using deep learning features and improved moth flame optimization

    Muhammad Attique Khan;Muhammad Sharif;Tallha Akram;Robertas Damaševičius

  • Human action recognition using fusion of multiview and deep features: an application to video surveillance

    Muhammad Attique Khan;Kashif Javed;Sajid Ali Khan;Tanzila Saba

  • CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features

    Muhammad Attique Khan;Tallha Akram;Muhammad Sharif;Muhammad Awais

  • Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework

    Muhammad Attique Khan;Tallha Akram;Yu-Dong Zhang;Muhammad Sharif

  • An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection

    Muhammad Attique Khan;M Ikram Ullah Lali;Muhammad Sharif;Kashif Javed

  • A framework for offline signature verification system: Best features selection approach

    Muhammad Sharif;Muhammad Attique Khan;Muhammad Faisal;Mussarat Yasmin

  • 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

  • An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach.

    Muhammad Nasir;Muhammad Attique Khan;Muhammad Sharif;Ikram Ullah Lali

  • 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

  • Brain tumor segmentation and classification by improved binomial thresholding and multi-features selection

    Muhammad Sharif;Uroosha Tanvir;Ehsan Ullah Munir;Muhammad Attique Khan

  • Gastrointestinal Diseases Segmentation and Classification based on Duo-Deep Architectures

    Mehshan Ahmed Khan;Muhammad Attique Khan;Fawad Ahmed;Mamta Mittal

  • 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

  • Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images

    Muhammad Sharif;Muhammad Attique Khan;Muhammad Rashid;Mussarat Yasmin

Frequent Co-Authors

Tanzila Saba
Tanzila Saba Prince Sultan University
Tallha Akram
Tallha Akram Prince Sattam Bin Abdulaziz University
Muhammad Sharif
Muhammad Sharif King Fahd University of Petroleum and Minerals
Seifedine Kadry
Seifedine Kadry Lebanese American University
Yunyoung Nam
Yunyoung Nam Soonchunhyang University
Muhammad Sharif
Muhammad Sharif COMSATS University Islamabad
Amjad Rehman
Amjad Rehman Prince Sultan University
Mussarat Yasmin
Mussarat Yasmin University of Gujrat
Yudong Zhang
Yudong Zhang University of Leicester
Mudassar Raza
Mudassar Raza Namal College

External Links

Personal website of Muhammad Attique Khan Google Scholar page

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Best Scientists Citing Muhammad Attique Khan

Tanzila Saba

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Prince Sultan University

Publications: 29

Amjad Rehman

Amjad Rehman

Prince Sultan University

Publications: 23

Seifedine Kadry

Seifedine Kadry

Lebanese American University

Publications: 23

Muhammad Sharif

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King Fahd University of Petroleum and Minerals

Publications: 21

Venkatesan Rajinikanth

Venkatesan Rajinikanth

Saveetha University

Publications: 19

Robertas Damaševičius

Robertas Damaševičius

Kaunas University of Technology

Publications: 16

Muhammad Sharif

Muhammad Sharif

COMSATS University Islamabad

Publications: 12

Mudassar Raza

Mudassar Raza

Namal College

Publications: 12

Christos A. Damalas

Christos A. Damalas

Democritus University of Thrace

Publications: 10

Mussarat Yasmin

Mussarat Yasmin

University of Gujrat

Publications: 10

Yudong Zhang

Yudong Zhang

University of Leicester

Publications: 10

U. Rajendra Acharya

U. Rajendra Acharya

University of Southern Queensland

Publications: 9

Yunyoung Nam

Yunyoung Nam

Soonchunhyang University

Publications: 7

David Taniar

David Taniar

Monash University

Publications: 7

Ahmad Jalal

Ahmad Jalal

Air University

Publications: 7

Shuihua Wang

Shuihua Wang

Xi’an Jiaotong-Liverpool University

Publications: 7

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