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Muhammad Sharif

D-Index & Metrics

Engineering and Technology

D-Index
56
Citations
9880
World Ranking
2887
National Ranking
24

Muhammad Sharif publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Muhammad Sharif sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 130 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Muhammad Sharif D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Muhammad Sharif sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Muhammad Sharif is affiliated with King Fahd University of Petroleum and Minerals in Saudi Arabia. Sharif's research output spans multiple interdisciplinary fields combining computer science and medicine, with a focus on artificial intelligence applications in imaging and diagnostics.

The scientist's main research areas include:

  • Computer Science
  • Medicine

Within these broader categories, Sharif's work frequently addresses subfields such as:

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

The research topics covered highlight a concentration on applied AI techniques in medical and agricultural contexts, including:

  • Smart Agriculture and AI
  • Digital Imaging for Blood Diseases
  • Anomaly Detection Techniques and Applications
  • COVID-19 diagnosis using AI
  • Brain Tumor Detection and Classification
  • Spectroscopy and Chemometric Analyses
  • AI in cancer detection

Sharif has published research in several notable scientific venues, frequently contributing to:

  • IEEE Access
  • Computers, Materials & Continua
  • Multimedia Tools and Applications
  • Sensors
  • Neural Computing and Applications

Examples of recent published papers include:

  • "Brain tumor detection and classification using machine learning: a comprehensive survey" (2021) in Complex & Intelligent Systems
  • "Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization" (2021) in Diagnostics
  • "Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework" (2021) in Pattern Recognition Letters
  • "Multi-Class Skin Lesion Detection and Classification via Teledermatology" (2021) in IEEE Journal of Biomedical and Health Informatics
  • "A framework of human action recognition using length control features fusion and weighted entropy-variances based feature selection" (2020) in Image and Vision Computing

Collaborative work involves frequent co-authors who appear repeatedly in Sharif's publications. These co-authors include:

  • Muhammad Attique Khan
  • Seifedine Kadry
  • Javeria Amin
  • Muhammad Almas Anjum
  • Mussarat Yasmin

The distribution of publications and collaborations points to a multidisciplinary approach, integrating domain knowledge in AI-driven medical diagnostics and agriculture-related computer vision techniques.

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 and classification using machine learning: a comprehensive survey

    Javaria Amin;Javaria Amin;Muhammad Sharif;Anandakumar Haldorai;Mussarat Yasmin

  • Brain tumor detection using statistical and machine learning method.

    Javaria Amin;Muhammad Sharif;Mudassar Raza;Tanzila Saba

  • 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

  • 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

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

    Javaria Amin;Muhammad Sharif;Mudassar Raza;Tanzila Saba

  • 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

  • Detection of Brain Tumor based on Features Fusion and Machine Learning

    Javeria Amin;Muhammad Sharif;Mudassar Raza;Mussarat Yasmin

  • 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

  • Multi-Class Skin Lesion Detection and Classification via Teledermatology

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

  • 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

  • Developed Newton-Raphson based deep features selection framework for skin lesion recognition

    Muhammad Attique Khan;Muhammad Sharif;Tallha Akram;Syed Ahmad Chan Bukhari

  • Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection

    Muhammad Attique Khan;Muhammad Imran Sharif;Mudassar Raza;Almas Anjum

  • A framework of human action recognition using length control features fusion and weighted entropy-variances based feature selection

    Farhat Afza;Muhammad Attique Khan;Muhammad Sharif;Seifedine Nimer Kadry

  • From ECG signals to images: a transformation based approach for deep learning.

    Mahwish Naz;Jamal Hussain Shah;Muhammad Attique Khan;Muhammad Sharif

  • Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and SIFT point features

    Muhammad Rashid;Muhammad Attique Khan;Muhammad Sharif;Mudassar Raza

  • Intelligent fusion-assisted skin lesion localization and classification for smart healthcare

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

  • A two-stream deep neural network-based intelligent system for complex skin cancer types classification

    Muhammad Attique Khan;Muhammad Sharif;Tallha Akram;Seifedine Kadry

  • An implementation of optimized framework for action classification using multilayers neural network on selected fused features

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

  • An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection

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

  • Appearance based pedestrians’ gender recognition by employing stacked auto encoders in deep learning

    Mudassar Raza;Muhammad Sharif;Mussarat Yasmin;Muhammad Attique Khan

  • Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network.

    Javaria Amin;Muhammad Sharif;Nadia Gul;Seifedine Kadry

  • Deep neural network features fusion and selection based on PLS regression with an application for crops diseases classification

    Farah Saeed;Muhammad Attique Khan;Muhammad Sharif;Mamta Mittal

  • Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI

    Javaria Amin;Javaria Amin;Muhammad Sharif;Muhammad Almas Anjum;Mudassar Raza

  • A deep neural network and classical features based scheme for objects recognition: an application for machine inspection

    Nazar Hussain;Muhammad Attique Khan;Muhammad Sharif;Sajid Ali Khan

Frequent Co-Authors

Xiao-Feng Wu
Xiao-Feng Wu Dalian Institute of Chemical Physics
Muhammad Attique Khan
Muhammad Attique Khan Prince Mohammad bin Fahd University
Tanzila Saba
Tanzila Saba Prince Sultan University
Mussarat Yasmin
Mussarat Yasmin University of Gujrat
Mudassar Raza
Mudassar Raza Namal College
Matthias Beller
Matthias Beller Leibniz Institute for Catalysis
Anke Spannenberg
Anke Spannenberg Leibniz Institute for Catalysis
Amjad Rehman
Amjad Rehman Prince Sultan University
Alexander Villinger
Alexander Villinger University of Rostock
Tallha Akram
Tallha Akram Prince Sattam Bin Abdulaziz University

External Links

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Best Scientists Citing Muhammad Sharif

Xiao-Feng Wu

Xiao-Feng Wu

Dalian Institute of Chemical Physics

Publications: 61

Muhammad Attique Khan

Muhammad Attique Khan

Prince Mohammad bin Fahd University

Publications: 58

Tanzila Saba

Tanzila Saba

Prince Sultan University

Publications: 36

Amjad Rehman

Amjad Rehman

Prince Sultan University

Publications: 29

Muhammad Sharif

Muhammad Sharif

COMSATS University Islamabad

Publications: 26

Tallha Akram

Tallha Akram

Prince Sattam Bin Abdulaziz University

Publications: 14

Seifedine Kadry

Seifedine Kadry

Lebanese American University

Publications: 14

Georgiy B. Shul'pin

Georgiy B. Shul'pin

Plekhanov Russian University of Economics

Publications: 13

Mussarat Yasmin

Mussarat Yasmin

University of Gujrat

Publications: 12

Robertas Damaševičius

Robertas Damaševičius

Kaunas University of Technology

Publications: 12

Yudong Zhang

Yudong Zhang

University of Leicester

Publications: 11

Mudassar Raza

Mudassar Raza

Namal College

Publications: 9

Frédéric Lamaty

Frédéric Lamaty

University of Montpellier

Publications: 9

Shuihua Wang

Shuihua Wang

Xi’an Jiaotong-Liverpool University

Publications: 8

Yunyoung Nam

Yunyoung Nam

Soonchunhyang University

Publications: 6

Venkatesan Rajinikanth

Venkatesan Rajinikanth

Saveetha University

Publications: 6

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