World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6565
World Ranking
9756
National Ranking
13

Muhammad Sajjad 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 Sajjad 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: 76 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Muhammad Sajjad 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 Sajjad 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Muhammad Sajjad is affiliated with Islamia College University in Pakistan and has contributed extensively to the fields of Computer Science and Engineering. Their research output comprises 86 publications in Computer Science and 42 in Engineering, reflecting a focused scholarly engagement in these broad areas.

The scientist's work prominently features in subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, and Radiology, Nuclear Medicine and Imaging. This breadth highlights a multidisciplinary approach spanning both theoretical and applied aspects of technology.

Sajjad's research themes include anomaly detection techniques and applications, video surveillance and tracking methods, AI in cancer detection, COVID-19 diagnosis using AI, human pose and action recognition, emotion and mood recognition, and network security and intrusion detection. Their scholarly interests align with contemporary challenges in security, healthcare, and intelligent systems.

The most frequent publication venues for their work are:

  • IEEE Access
  • Mathematics
  • IEEE Internet of Things Journal
  • Computers in Biology and Medicine
  • Sensors

Frequent collaborators include:

  • Khan Muhammad
  • Amin Ullah
  • Faouzi Alaya Cheikh
  • Mohammad Hijji
  • Sung Wook Baik

Notable recent publications by Muhammad Sajjad feature:

  • A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting (2020), IEEE Access
  • Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020), IEEE Access
  • CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks (2020), Multimedia Tools and Applications
  • Human action recognition using attention based LSTM network with dilated CNN features (2021), Future Generation Computer Systems
  • Light-DehazeNet: A Novel Lightweight CNN Architecture for Single Image Dehazing (2021), IEEE Transactions on Image Processing

Best Publications

  • Multi-grade brain tumor classification using deep CNN with extensive data augmentation

    Muhammad Sajjad;Salman Khan;Khan Muhammad;Wanqing Wu

  • Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features

    Amin Ullah;Jamil Ahmad;Khan Muhammad;Muhammad Sajjad

  • A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting

    Muhammad Sajjad;Zulfiqar Ahmad Khan;Amin Ullah;Tanveer Hussain

  • Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM

    Mustaqeem;Muhammad Sajjad;Soonil Kwon

  • CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks

    Waseem Ullah;Amin Ullah;Ijaz Ul Haq;Khan Muhammad

  • Human action recognition using attention based LSTM network with dilated CNN features

    Khan Muhammad;Mustaqeem;Amin Ullah;Amin Ullah;Ali Shariq Imran

  • Raspberry Pi assisted face recognition framework for enhanced law-enforcement services in smart cities

    Muhammad Sajjad;Mansoor Nasir;Khan Muhammad;Siraj Khan

  • A novel magic LSB substitution method (M-LSB-SM) using multi-level encryption and achromatic component of an image

    Khan Muhammad;Muhammad Sajjad;Irfan Mehmood;Seungmin Rho

  • Light-DehazeNet: A Novel Lightweight CNN Architecture for Single Image Dehazing

    Hayat Ullah;Khan Muhammad;Muhammad Irfan;Saeed Anwar

  • Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm.

    Hikmat Yar;Ali Shariq Imran;Zulfiqar Ahmad Khan;Muhammad Sajjad;Muhammad Sajjad

  • CISSKA-LSB: color image steganography using stego key-directed adaptive LSB substitution method

    Khan Muhammad;Jamil Ahmad;Naeem Ur Rehman;Zahoor Jan

  • CNN-based anti-spoofing two-tier multi-factor authentication system

    Muhammad Sajjad;Salman Khan;Tanveer Hussain;Khan Muhammad

  • Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities

    Muhammad Sajjad;Siraj Khan;Zahoor Jan;Khan Muhammad

  • Image steganography using uncorrelated color space and its application for security of visual contents in online social networks

    Khan Muhammad;Muhammad Sajjad;Irfan Mehmood;Seungmin Rho

  • A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images

    Siraj Khan;Muhammad Sajjad;Tanveer Hussain;Amin Ullah

  • A Secure Method for Color Image Steganography using Gray-Level Modification and Multi-level Encryption

    Khan Muhammad;Jamil Ahmad;Haleem Farman;Zahoor Jan

  • Human Behavior Understanding in Big Multimedia Data Using CNN based Facial Expression Recognition

    Muhammad Sajjad;Sana Zahir;Amin Ullah;Zahid Akhtar

  • Raspberry Pi assisted facial expression recognition framework for smart security in law-enforcement services

    Muhammad Sajjad;Mansoor Nasir;Fath U Min Ullah;Khan Muhammad

  • Dual-Level Security based Cyclic18 Steganographic Method and its Application for Secure Transmission of Keyframes during Wireless Capsule Endoscopy

    Khan Muhammad;Muhammad Sajjad;Sung Wook Baik

  • Mobile-cloud assisted framework for selective encryption of medical images with steganography for resource-constrained devices

    Muhammad Sajjad;Khan Muhammad;Sung Wook Baik;Seungmin Rho

Frequent Co-Authors

Sung Wook Baik
Sung Wook Baik Sejong University
Khan Muhammad
Khan Muhammad Sungkyunkwan University
Irfan Mehmood
Irfan Mehmood University of Bradford
Seungmin Rho
Seungmin Rho Chung-Ang University
Victor Hugo C. de Albuquerque
Victor Hugo C. de Albuquerque Universidade Federal do Ceará
Arun Kumar Sangaiah
Arun Kumar Sangaiah National Yunlin University of Science and Technology
Mohamed Elhoseny
Mohamed Elhoseny University of Sharjah
Javier Del Ser
Javier Del Ser University of the Basque Country
Jaime Lloret
Jaime Lloret Universitat Politècnica de València
Weiping Ding
Weiping Ding Nantong University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees can open new doors for students interested in computer science and related fields. Today, flexible study options make it easier to pursue career-oriented programs from anywhere, often at a reduced cost compared to traditional on-campus degrees.

Many students interested in technology also consider a physics degree online, which builds a strong analytical foundation for future work in computing, engineering, and scientific research. Another popular pathway is to earn a data scientist degree to tap into the growing demand for experts in artificial intelligence, analytics, and big data.

For those leaning towards engineering, reviewing electrical engineering online tuition costs can help you find affordable, accredited programs that fit your budget. Alternatively, you may want to jump-start your career quickly by pursuing easy licenses and certifications to get in fields like technology support, networking, or cybersecurity.

No matter your career goals, online education offers flexible, cost-effective ways to advance in the ever-evolving landscape of computing and technology.

Best Scientists Citing Muhammad Sajjad

Trending Scientists

Recently Published Articles