World's Best Scientists 2026 revealed!
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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
89
Citations
28899
World Ranking
645
National Ranking
14

Mamoun Alazab 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 Mamoun Alazab 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 370 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Mamoun Alazab 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 Mamoun Alazab sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 89 D-Index — 96th percentile

96% 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

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Mamoun Alazab is affiliated with Charles Darwin University in Australia. Their research primarily spans the field of Computer Science, with a focus on various interrelated subfields including Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering, and Signal Processing.

The scientist's work covers a wide range of topics. Key areas of research include:

  • Blockchain Technology Applications and Security
  • Network Security and Intrusion Detection
  • IoT and Edge/Fog Computing
  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security
  • Advanced Malware Detection Techniques
  • Anomaly Detection Techniques and Applications

Among recent notable papers, the following publications stand out for their contribution to different domains:

  • "Blockchain for Industry 4.0: A Comprehensive Review," 2020, published in IEEE Access
  • "Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges," 2021, IEEE Sensors Journal
  • "Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey," 2020, Sustainable Cities and Society
  • "IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture," 2020, Computer Networks
  • "Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions," 2023, IEEE Access

Mamoun Alazab frequently collaborates with several other researchers, including:

  • Thippa Reddy Gadekallu
  • Praveen Kumar Reddy Maddikunta
  • Sweta Bhattacharya
  • Neeraj Kumar
  • Mohammad Shojafar

The scientist publishes regularly in established academic venues, with a significant number of publications appearing in:

  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Access
  • Future Generation Computer Systems
  • IEEE Internet of Things Journal

Mamoun Alazab has also contributed to several books published by notable academic publishers. Key book publications include:

  • Artificial Intelligence and Blockchain for Future Cybersecurity Applications, Springer International Publishing, 2021
  • Advances in Information, Communication and Cybersecurity, Springer International Publishing, 2022
  • Machine Intelligence and Big Data Analytics for Cybersecurity Applications, Springer Nature, 2020
  • Big Data Intelligence for Smart Applications, Springer Nature, 2022
  • Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence, River Publishers eBooks, 2023

Best Publications

  • Deep Learning Approach for Intelligent Intrusion Detection System

    R. Vinayakumar;Mamoun Alazab;K. P. Soman;Prabaharan Poornachandran

  • Blockchain for Industry 4.0: A Comprehensive Review

    Umesh Bodkhe;Sudeep Tanwar;Karan Parekh;Pimal Khanpara

  • Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges

    Praveen Kumar Reddy Maddikunta;Saqib Hakak;Mamoun Alazab;Sweta Bhattacharya

  • Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions

    Unknown

  • Robust Intelligent Malware Detection Using Deep Learning

    R. Vinayakumar;Mamoun Alazab;K. P. Soman;Prabaharan Poornachandran

  • IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture

    Danish Vasan;Danish Vasan;Mamoun Alazab;Sobia Wassan;Hamad Naeem

  • Deep Learning and Medical Image Processing for Coronavirus (COVID-19) Pandemic: A Survey.

    Sweta Bhattacharya;Praveen Kumar Reddy Maddikunta;Quoc Viet Pham;Thippa Reddy Gadekallu

  • An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture

    R M Swarna Priya;Praveen Kumar Reddy Maddikunta;M Parimala;Srinivas Koppu

  • An ensemble machine learning approach through effective feature extraction to classify fake news

    Saqib Hakak;Mamoun Alazab;Suleman Khan;Thippa Reddy Gadekallu

  • Federated Learning enabled Digital Twins for smart cities: Concepts, recent advances, and future directions

    Unknown

  • Image-Based malware classification using ensemble of CNN architectures (IMCEC)

    Danish Vasan;Danish Vasan;Mamoun Alazab;Sobia Wassan;Sobia Wassan;Babak Safaei

  • Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions.

    Shaashwat Agrawal;Sagnik Sarkar;Ons Aouedi;Gokul Yenduri

  • A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

    Sweta Bhattacharya;Siva Rama Krishnan S;Praveen Kumar Reddy Maddikunta;Rajesh Kaluri

  • Early detection of diabetic retinopathy using pca-firefly based deep learning model

    Thippa Reddy Gadekallu;Neelu Khare;Sweta Bhattacharya;Saurabh Singh

  • Task Co-Offloading for D2D-Assisted Mobile Edge Computing in Industrial Internet of Things

    Unknown

  • Whale Optimization Algorithm With Applications to Resource Allocation in Wireless Networks

    Quoc-Viet Pham;Seyedali Mirjalili;Neeraj Kumar;Mamoun Alazab

  • A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities

    R. Vinayakumar;Mamoun Alazab;Sriram Srinivasan;Quoc-Viet Pham

  • A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU

    Thippa Reddy Gadekallu;Dharmendra Singh Rajput;M. Praveen Kumar Reddy;Kuruva Lakshmanna

  • Artificial Intelligence for Detection, Estimation, and Compensation of Malicious Attacks in Nonlinear Cyber-Physical Systems and Industrial IoT

    Faezeh Farivar;Mohammad Sayad Haghighi;Alireza Jolfaei;Mamoun Alazab

  • CANintelliIDS: Detecting In-Vehicle Intrusion Attacks on a Controller Area Network Using CNN and Attention-Based GRU

    Abdul Rehman Javed;Saif ur Rehman;Mohib Ullah Khan;Mamoun Alazab

  • Blockchain-Based Reliable and Efficient Certificateless Signature for IIoT Devices

    Weizheng Wang;Hao Xu;Mamoun Alazab;Thippa Reddy Gadekallu

  • Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System

    Keping Yu;Long Lin;Mamoun Alazab;Liang Tan

  • Intelligent mobile malware detection using permission requests and API calls

    Moutaz Alazab;Mamoun Alazab;Andrii Shalaginov;Abdelwadood Mesleh

  • Zero-day malware detection based on supervised learning algorithms of API call signatures

    Mamoun Alazab;Sitalakshmi Venkatraman;Paul Watters;Moutaz Alazab

Frequent Co-Authors

Paul A. Watters
Paul A. Watters La Trobe University
Neeraj Kumar
Neeraj Kumar Thapar University
Quoc-Viet Pham
Quoc-Viet Pham Trinity College Dublin
B. B. Zaidan
B. B. Zaidan SP Jain School of Global Management - Sydney
Alireza Jolfaei
Alireza Jolfaei Flinders University
A. A. Zaidan
A. A. Zaidan SP Jain School of Global Management - Sydney
O. S. Albahri
O. S. Albahri Victorian Institute of Technology
A. S. Albahri
A. S. Albahri Imam Ja'afar al-Sadiq University
Sudeep Tanwar
Sudeep Tanwar Marwadi University
K. P. Soman
K. P. Soman Amrita Vishwa Vidyapeetham University

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