World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
10000
World Ranking
8243
National Ranking
497

S. M. Riazul Islam 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 S. M. Riazul Islam 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: 128 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

S. M. Riazul Islam 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 S. M. Riazul Islam 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

S. M. Riazul Islam is affiliated with the University of Aberdeen in the United Kingdom. Their research focuses primarily on fields within Computer Science and Engineering, with a strong emphasis on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Biomedical Engineering, and Information Systems.

Their recent publications show a concentration on healthcare monitoring systems and artificial intelligence applications. Notable papers include:

  • A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion, 2020, published in Information Fusion
  • An intelligent healthcare monitoring framework using wearable sensors and social networking data, 2020, published in Future Generation Computer Systems
  • A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer's disease, 2021, published in Scientific Reports
  • Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances, 2021, published in IEEE Access
  • Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges, 2021, published in Diagnostics

Their work spans several main areas of study, with key topics including:

  • IoT and Edge/Fog Computing
  • Artificial Intelligence in Healthcare
  • Optical Wireless Communication Technologies
  • Advanced Wireless Communication Technologies
  • Advanced Fiber Optic Sensors
  • Photonic and Optical Devices
  • Plasmonic and Surface Plasmon Research

Coauthorship patterns reveal collaboration with several researchers, highlighting frequent co-authors such as Kyung Sup Kwak, M. Abdullah-Al-Wadud, A. S. M. Badrudduza, Mahmud Hossain, and Milton Kumar Kundu.

Publishing activity is strongly associated with venues including:

  • IEEE Access
  • Results in Physics
  • Sensors
  • arXiv (Cornell University)
  • Future Generation Computer Systems

This body of work indicates sustained contributions across multiple domains, with a clear interdisciplinary approach integrating engineering, artificial intelligence, and healthcare technologies.

Best Publications

  • The Internet of Things for Health Care: A Comprehensive Survey

    S. M. Riazul Islam;Daehan Kwak;Md. Humaun Kabir;Mahmud Hossain

  • Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges

    S. M. Riazul Islam;Nurilla Avazov;Octavia A. Dobre;Kyung Sup Kwak

  • A Smart Healthcare Monitoring System for Heart Disease Prediction Based On Ensemble Deep Learning and Feature Fusion

    Farman Ali;Shaker H. Ali El-Sappagh;Shaker H. Ali El-Sappagh;S. M. Riazul Islam;Daehan Kwak

  • Resource Allocation for Downlink NOMA Systems: Key Techniques and Open Issues

    S. M. Riazul Islam;Ming Zeng;Octavia A. Dobre;Kyung-Sup Kwak

  • An intelligent healthcare monitoring framework using wearable sensors and social networking data

    Farman Ali;Shaker H. Ali El-Sappagh;Shaker H. Ali El-Sappagh;S. M. Riazul Islam;Amjad Ali

  • A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer's disease.

    Shaker El-Sappagh;Shaker El-Sappagh;Jose M. Alonso;S. M. Riazul Islam;Ahmad M. Sultan

  • Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances

    Protima Khan;Md. Fazlul Kader;S. M. Riazul Islam;Aisha B. Rahman

  • Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives

    Simarjeet Kaur;Jimmy Singla;Lewis Nkenyereye;Sudan Jha

  • Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges.

    Nora El-Rashidy;Shaker El-Sappagh;Shaker El-Sappagh;S M Riazul Islam;Hazem M El-Bakry

  • Multimodal multitask deep learning model for Alzheimer’s disease progression detection based on time series data

    Shaker H. Ali El-Sappagh;Shaker H. Ali El-Sappagh;Tamer AbuHmed;S. M. Riazul Islam;Kyung Sup Kwak

  • Type-2 fuzzy ontology–aided recommendation systems for IoT–based healthcare

    Farman Ali;S. M. Riazul Islam;Daehan Kwak;Pervez Khan

  • A study of MAC protocols for WBANs.

    Sana Ullah;Bin Shen;S.M. Riazul Islam;Pervez Khan

  • Fuzzy ontology-based sentiment analysis of transportation and city feature reviews for safe traveling☆

    Farman Ali;Daehan Kwak;Pervez Khan;S. M. Riazul Islam

  • Machine learning in the prediction of cancer therapy.

    Raihan Rafique;S.M. Riazul Islam;Julhash U. Kazi

  • An Internet of Things-based health prescription assistant and its security system design

    Md. Mahmud Hossain;S. M. Riazul Islam;Farman Ali;Kyung Sup Kwak

  • NOMA in 5G Systems: Exciting Possibilities for Enhancing Spectral Efficiency

    S. M. Riazul Islam;Ming Zeng;Octavia A. Dobre

  • TCP Control Block Interdependence

    Unknown

  • Energy Saving Mechanisms for MAC Protocols in Wireless Sensor Networks

    Moshaddique Al Ameen;S. M. Riazul Islam;Kyung Sup Kwak

  • SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals.

    Fazla Rabbi Mashrur;Md. Saiful Islam;Dabasish Kumar Saha;S.M. Riazul Islam

  • A Study of Medium Access Control Protocols for Wireless Body Area Networks

    Sana Ullah;Bin Shen;S. M. Riazul Islam;Pervez Khan

  • An Enhanced Anomaly Detection in Web Traffic Using a Stack of Classifier Ensemble

    Bayu Adhi Tama;Lewis Nkenyereye;S.M. Riazul Islam;Kyung-Sup Kwak

  • End-To-End Deep Learning Framework for Coronavirus (COVID-19) Detection and Monitoring

    Nora El-Rashidy;Shaker El-Sappagh;S. M. Riazul Islam;Hazem M. El-Bakry

  • Plasmonic Temperature Sensor Using D-shaped Photonic Crystal Fiber

    Md. Aslam Mollah;S.M. Riazul Islam;Md. Yousufali;Lway Faisal Abdulrazak;Lway Faisal Abdulrazak

Frequent Co-Authors

Kyung Sup Kwak
Kyung Sup Kwak Inha University
Farman Ali
Farman Ali Sungkyunkwan University
Atif Alamri
Atif Alamri King Saud University
Octavia A. Dobre
Octavia A. Dobre Memorial University of Newfoundland
Imran Shafique Ansari
Imran Shafique Ansari University of Glasgow
Ming Zeng
Ming Zeng Université Laval
Ragib Hasan
Ragib Hasan University of Alabama at Birmingham
Ssang-Goo Cho
Ssang-Goo Cho Konkuk University
Md. Jalil Piran
Md. Jalil Piran Sejong University
Tallha Akram
Tallha Akram Prince Sattam Bin Abdulaziz University

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