World's Best Scientists 2026 revealed!
Karrar Hameed Abdulkareem

Karrar Hameed Abdulkareem

Award Badge
Rising Stars
2025
Award Badge
Computer Science
Iraq
2025

D-Index & Metrics

Rising Stars

D-Index
41
Citations
4693
World Ranking
626
National Ranking
4

Computer Science

D-Index
43
Citations
6135
World Ranking
8096
National Ranking
5

Karrar Hameed Abdulkareem 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 Karrar Hameed Abdulkareem 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: 102 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Karrar Hameed Abdulkareem 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 Karrar Hameed Abdulkareem 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: 43 D-Index — 46th percentile

46% 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 Iraq Leader Award
  • 2025 - Research.com Rising Stars Award

Overview

Karrar Hameed Abdulkareem is affiliated with Al-Muthana University in Iraq and has an extensive publication record in computer science, with a specialization in information systems, computer networks and communications, and artificial intelligence. Their research contributions include 133 publications in the broader field of computer science.

Their work covers several subfields, notably:

  • Information Systems
  • Computer Networks and Communications
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition

Main research topics addressed by their publications include:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • COVID-19 diagnosis using AI
  • Artificial Intelligence in Healthcare
  • Multi-Criteria Decision Making
  • AI in cancer detection
  • Anomaly Detection Techniques and Applications

Karrar Hameed Abdulkareem has contributed to various well-regarded venues, frequently publishing in:

  • Sensors
  • Computers, Materials & Continua
  • Soft Computing
  • Computers in Biology and Medicine
  • Applied Sciences

Among the recent research papers associated with Abdulkareem are:

  • "Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment," 2021, IEEE Internet of Things Journal
  • "Real-Time Hand Gesture Recognition Based on Deep Learning YOLOv3 Model," 2021, Applied Sciences
  • "Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects," 2020, Journal of Infection and Public Health
  • "Voice Pathology Detection and Classification Using Convolutional Neural Network Model," 2020, Applied Sciences
  • "Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods," 2020, IEEE Access

They have worked extensively with several frequent co-authors, including:

  • Mazin Abed Mohammed
  • Abdullah Lakhan
  • Jan Nedoma
  • Begonya García-Zapirain
  • Radek Martínek

Best Publications

  • Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects.

    O S Albahri;A A Zaidan;A S Albahri;B B Zaidan

  • Real-time hand gesture recognition based on deep learning YOLOv3 model

    Abdullah Mujahid;Mazhar Javed Awan;Awais Yasin;Mazin Abed Mohammed

  • A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues

    Karrar Hameed Abdulkareem;Mazin Abed Mohammed;Saraswathy Shamini Gunasekaran;Mohammed Nasser Al-Mhiqani

  • Voice Pathology Detection and Classification Using Convolutional Neural Network Model

    Mazin Abed Mohammed;Karrar Hameed Abdulkareem;Salama A. Mostafa;Mohd Khanapi Abd Ghani

  • Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment

    Karrar Hameed Abdulkareem;Mazin Abed Mohammed;Ahmad Salim;Muhammad Arif

  • Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods

    Mazin Abed Mohammed;Karrar Hameed Abdulkareem;Alaa S. Al-Waisy;Salama A. Mostafa

  • COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images.

    Alaa S Al-Waisy;Shumoos Al-Fahdawi;Mazin Abed Mohammed;Karrar Hameed Abdulkareem

  • Review on COVID-19 diagnosis models based on machine learning and deep learning approaches.

    Zaid Abdi Alkareem Alyasseri;Zaid Abdi Alkareem Alyasseri;Mohammed Azmi Al-Betar;Mohammed Azmi Al-Betar;Iyad Abu Doush;Iyad Abu Doush;Mohammed A. Awadallah;Mohammed A. Awadallah

  • IoT based smart agrotech system for verification of Urban farming parameters

    Amit Kumer Podder;Abdullah Al Bukhari;Sayemul Islam;Sujon Mia

  • Image-Based Malware Classification Using VGG19 Network and Spatial Convolutional Attention

    Mazhar Javed Awan;Osama Ahmed Masood;Mazin Abed Mohammed;Awais Yasin

  • Artificial Intelligence-based Solution for Sorting COVID Related Medical Waste Streams and Supporting Data-driven Decisions for Smart Circular Economy Practice

    Nallapaneni Manoj Kumar;Mazin Abed Mohammed;Karrar Hameed Abdulkareem;Robertas Damasevicius

  • Efficient Detection of Knee Anterior Cruciate Ligament from Magnetic Resonance Imaging Using Deep Learning Approach.

    Mazhar Javed Awan;Mazhar Javed Awan;Mohd Shafry Mohd Rahim;Naomie Salim;Mazin Abed Mohammed

  • A review of insider threat detection: Classification, machine learning techniques, datasets, open challenges, and recommendations

    Mohammed Nasser Al-Mhiqani;Rabiah Ahmad;Z. Zainal Abidin;Warusia Yassin

  • Fault-Tolerant mHealth Framework in the Context of IoT-Based Real-Time Wearable Health Data Sensors

    Osamah Shihab Albahri;Ahmed Shihab Albahri;A. A. Zaidan;B. B. Zaidan

  • Adversarial Attack and Defence through Adversarial Training and Feature Fusion for Diabetic Retinopathy Recognition

    Sheeba Lal;Saeed Ur Rehman;Jamal Hussain Shah;Talha Meraj

  • Determining Importance of Many-Objective Optimisation Competitive Algorithms Evaluation Criteria Based on a Novel Fuzzy-Weighted Zero-Inconsistency Method

    R. T. Mohammed;A. A. Zaidan;R. Yaakob;N. M. Sharef

  • Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods.

    Osamah Shihab Albahri;Jameel R. Al-Obaidi;A. A. Zaidan;Ahmed Shihab Albahri

  • Based Multiple Heterogeneous Wearable Sensors: A Smart Real-Time Health Monitoring Structured for Hospitals Distributor

    Ahmed Shihab Albahri;Osamah Shihab Albahri;A. A. Zaidan;B. B. Zaidan

  • COVID-DeepNet: Hybrid Multimodal Deep Learning System for Improving COVID-19 Pneumonia Detection in Chest X-ray Images

    A. S. Al-Waisy;Mazin Abed Mohammed;Shumoos Al-Fahdawi;M. S. Maashi

  • Cyber-Security Incidents: A Review Cases In Cyber-Physical Systems

    Mohammed Nasser Al-Mhiqani;Rabiah Ahmad;Warusia Yassin;Aslinda Hassan

  • MAFC: Multi-Agent Fog Computing Model for Healthcare Critical Tasks Management.

    Ammar Awad Mutlag;Mohd Khanapi Abd Ghani;Mazin Abed Mohammed;Mashael S. Maashi

Frequent Co-Authors

Mazin Abed Mohammed
Mazin Abed Mohammed University of Anbar
Salama A. Mostafa
Salama A. Mostafa Alnoor University
O. S. Albahri
O. S. Albahri Victorian Institute of Technology
B. B. Zaidan
B. B. Zaidan SP Jain School of Global Management - Sydney
A. A. Zaidan
A. A. Zaidan SP Jain School of Global Management - Sydney
A. S. Albahri
A. S. Albahri Imam Ja'afar al-Sadiq University
M. A. Alsalem
M. A. Alsalem University of Mosul
Seifedine Kadry
Seifedine Kadry Lebanese American University
Nallapaneni Manoj Kumar
Nallapaneni Manoj Kumar City University of Hong Kong
Mohammed Azmi Al-Betar
Mohammed Azmi Al-Betar Ajman University of Science and Technology

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