World's Best Scientists 2026 revealed!
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Muhammad Sharif
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Computer Science
Pakistan
2026

D-Index & Metrics

Computer Science

D-Index
65
Citations
12504
World Ranking
2502
National Ranking
2

Muhammad Sharif 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 Sharif 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: 181 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Muhammad Sharif 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 Sharif 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: 65 D-Index — 83rd percentile

83% 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 Pakistan 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 Sharif is affiliated with COMSATS University Islamabad in Pakistan. Their research contributions span the fields of Medicine and Computer Science, with a focus on several interdisciplinary subfields including Oncology, Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, and Pulmonary and Respiratory Medicine.

The main topics of Muhammad Sharif's work encompass:

  • Cutaneous Melanoma Detection and Management
  • AI in cancer detection
  • COVID-19 diagnosis using AI
  • Gastrointestinal Bleeding Diagnosis and Treatment
  • Image Processing Techniques and Applications
  • Digital Media Forensic Detection
  • Pneumonia and Respiratory Infections

Muhammad Sharif has published in several recognized venues, indicating active involvement in both computer science and medical domains. Frequent publication venues include:

  • Computers & Electrical Engineering
  • Computers, Materials & Continua (Print)
  • PeerJ Computer Science
  • Methods
  • Cognitive Computation

Among their recent published papers are:

  • "Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization and Classification," 2021, Computers & Electrical Engineering
  • "Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine," 2020, Computers & Electrical Engineering
  • "From ECG signals to images: a transformation based approach for deep learning," 2021, PeerJ Computer Science
  • "A hierarchical three-step superpixels and deep learning framework for skin lesion classification," 2021, Methods
  • "FF-UNet: a U-Shaped Deep Convolutional Neural Network for Multimodal Biomedical Image Segmentation," 2022, Cognitive Computation

Muhammad Sharif collaborates frequently with several researchers, including:

  • Muhammad Attique Khan
  • Tallha Akram
  • Seifedine Kadry
  • Amjad Rehman
  • Jamal Hussain Shah

Best Publications

  • A distinctive approach in brain tumor detection and classification using MRI

    Javeria Amin;Muhammad Sharif;Mussarat Yasmin;Steven Lawrence Fernandes

  • 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

  • Brain tumor detection using fusion of hand crafted and deep learning features

    Tanzila Saba;Ahmed Sameh Mohamed;Mohammed Ahmed El-Affendi;Javeria Amin;Javeria Amin

  • Big data analysis for brain tumor detection: Deep convolutional neural networks

    Javeria Amin;Muhammad Sharif;Mussarat Yasmin;Steven Lawrence Fernandes

  • Internet of Things (IoT) Operating Systems Support, Networking Technologies, Applications, and Challenges: A Comparative Review

    Farhana Javed;Muhamamd Khalil Afzal;Muhammad Sharif;Byung-Seo Kim

  • Brain tumor detection using statistical and machine learning method.

    Javaria Amin;Muhammad Sharif;Mudassar Raza;Tanzila Saba

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

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

  • Symptom based automated detection of citrus diseases using color histogram and textural descriptors

    H. Ali;M.I. Lali;M.Z. Nawaz;M. Sharif

  • 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

  • Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network

    Javaria Amin;Muhammad Sharif;Nadia Gul;Mussarat Yasmin

  • 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 Survey on Medical Image Segmentation

    Saleha Masood;Muhammad Sharif;Afifa Masood;Mussarat Yasmin

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

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

  • An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor

    Muhammad Sharif;Javaria Amin;Mudassar Raza;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

  • Brain tumor detection: a long short-term memory (LSTM)-based learning model

    Javaria Amin;Muhammad Sharif;Mudassar Raza;Tanzila Saba

  • A Survey of Password Attacks and Comparative Analysis on Methods for Secure Authentication

    Mudassar Raza;Muhammad Iqbal;Muhammad Sharif;Waqas Haider

  • 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

  • A method for the detection and classification of diabetic retinopathy using structural predictors of bright lesions

    Javeria Amin;Muhammad Sharif;Mussarat Yasmin;Hussam Ali

  • Brain Tumor Detection by Using Stacked Autoencoders in Deep Learning

    Javaria Amin;Muhammad Sharif;Nadia Gul;Mudassar Raza

Frequent Co-Authors

Mudassar Raza
Mudassar Raza Namal College
Mussarat Yasmin
Mussarat Yasmin University of Gujrat
Muhammad Attique Khan
Muhammad Attique Khan Prince Mohammad bin Fahd University
Tanzila Saba
Tanzila Saba Prince Sultan University
Tallha Akram
Tallha Akram Prince Sattam Bin Abdulaziz University
Steven Lawrence Fernandes
Steven Lawrence Fernandes Karunya University
Amjad Rehman
Amjad Rehman Prince Sultan University
Seifedine Kadry
Seifedine Kadry Lebanese American University
Muhammad Iqbal
Muhammad Iqbal University of Agriculture Faisalabad
Mubashir Husain Rehmani
Mubashir Husain Rehmani Munster Technological University

External Links

Personal website of Muhammad Sharif Google Scholar page

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Best Scientists Citing Muhammad Sharif

Muhammad Attique Khan

Muhammad Attique Khan

Prince Mohammad bin Fahd University

Publications: 80

Muhammad Sharif

Muhammad Sharif

King Fahd University of Petroleum and Minerals

Publications: 59

Tanzila Saba

Tanzila Saba

Prince Sultan University

Publications: 56

Amjad Rehman

Amjad Rehman

Prince Sultan University

Publications: 49

Seifedine Kadry

Seifedine Kadry

Lebanese American University

Publications: 32

Mudassar Raza

Mudassar Raza

Namal College

Publications: 23

Mussarat Yasmin

Mussarat Yasmin

University of Gujrat

Publications: 21

Venkatesan Rajinikanth

Venkatesan Rajinikanth

Saveetha University

Publications: 20

Tallha Akram

Tallha Akram

Prince Sattam Bin Abdulaziz University

Publications: 20

Yudong Zhang

Yudong Zhang

University of Leicester

Publications: 18

Shuihua Wang

Shuihua Wang

Xi’an Jiaotong-Liverpool University

Publications: 14

Yunyoung Nam

Yunyoung Nam

Soonchunhyang University

Publications: 12

Suresh Chandra Satapathy

Suresh Chandra Satapathy

KIIT University

Publications: 11

Mubashir Husain Rehmani

Mubashir Husain Rehmani

Munster Technological University

Publications: 8

Robertas Damaševičius

Robertas Damaševičius

Kaunas University of Technology

Publications: 8

Steven Lawrence Fernandes

Steven Lawrence Fernandes

Karunya University

Publications: 8

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