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
8097
National Ranking
5

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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