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

D-Index & Metrics

Rising Stars

D-Index
52
Citations
8035
World Ranking
279
National Ranking
2

Computer Science

D-Index
58
Citations
10373
World Ranking
3699
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Computer Science in Iraq Leader Award
  • 2025 - Research.com Computer Science in Iraq Leader Award
  • 2025 - Research.com Rising Stars Award

Overview

A. S. Albahri is affiliated with Imam Ja'afar al-Sadiq University in Iraq and has a body of work primarily focused on computer science with a significant emphasis on artificial intelligence and its applications. Their research spans multiple specialized subfields including Artificial Intelligence, Management Science and Operations Research, Radiology, Nuclear Medicine and Imaging, Information Systems, and Cognitive Neuroscience.

The scientist's research interests involve several key topics such as:

  • Multi-Criteria Decision Making
  • COVID-19 diagnosis using AI
  • Artificial Intelligence in Healthcare and Education
  • Autism Spectrum Disorder Research
  • EEG and Brain-Computer Interfaces
  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications

A. S. Albahri has contributed to numerous publications, with recent notable papers including:

  • "A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion" (2023), published in Information Fusion
  • "Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review" (2020), from Journal of Medical Systems
  • "A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications" (2023), appearing in Journal Of Big Data (with Laith Alzubaidi as author)
  • "Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review" (2020), in Expert Systems with Applications
  • "Telehealth utilization during the Covid-19 pandemic: A systematic review" (2021), published in Computers in Biology and Medicine

Their frequent coauthors include:

  • O. S. Albahri
  • A. H. Alamoodi
  • A. A. Zaidan
  • B. B. Zaidan
  • Rula A. Hamid

Common publication venues where A. S. Albahri's research appears encompass:

  • International Journal of Information Technology & Decision Making
  • Neural Computing and Applications
  • Expert Systems with Applications
  • Engineering Applications of Artificial Intelligence
  • Complex & Intelligent Systems

Best Publications

  • A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications

    Unknown

  • Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review.

    Abdullah Hussein Alamoodi;Bilal Bahaa Zaidan;Bilal Bahaa Zaidan;Aws Alaa Zaidan;Osamah Shihab Albahri

  • Telehealth utilization during the Covid-19 pandemic: A systematic review.

    Salem Garfan;A.H. Alamoodi;B.B. Zaidan;Mohammed Al-Zobbi

  • 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

  • Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review.

    A. S. Albahri;Rula A. Hamid;Jwan k. Alwan;Z.T. Al-qays

  • IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art

    Ahmed Shihab Albahri;Jwan K. Alwan;Zahraa K. Taha;Sura F. Ismail

  • How smart is e-tourism? A systematic review of smart tourism recommendation system applying data management

    Rula A. Hamid;Ahmed Shihab Albahri;Jwan K. Alwan;Z. T. Al-qaysi

  • Smart Home-based IoT for Real-time and Secure Remote Health Monitoring of Triage and Priority System using Body Sensors: Multi-driven Systematic Review

    Mohammed Talal;A. A. Zaidan;B. B. Zaidan;Ahmed Shihab Albahri

  • Systematic Review of Real-time Remote Health Monitoring System in Triage and Priority-Based Sensor Technology: Taxonomy, Open Challenges, Motivation and Recommendations

    O. S. Albahri;A. S. Albahri;K. I. Mohammed;A. A. Zaidan

  • Electronic medical record systems: decision support examination framework for individual, security and privacy concerns using multi-perspective analysis

    Odai Enaizan;A. A. Zaidan;N. H. M Alwi;B. B. Zaidan

  • Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure.

    K. I. Mohammed;A. A. Zaidan;B. B. Zaidan;Osamah Shihab Albahri

  • Real-Time Remote Health-Monitoring Systems in a Medical Centre: A Review of the Provision of Healthcare Services-Based Body Sensor Information, Open Challenges and Methodological Aspects

    O. S. Albahri;A. A. Zaidan;B. B. Zaidan;M. Hashim

  • A survey on communication components for IoT-based technologies in smart homes

    A. A. Zaidan;B. B. Zaidan;M. Y. Qahtan;O. S. Albahri

  • Systematic Review of an Automated Multiclass Detection and Classification System for Acute Leukaemia in Terms of Evaluation and Benchmarking, Open Challenges, Issues and Methodological Aspects

    M. A. Alsalem;A. A. Zaidan;B. B. Zaidan;M. Hashim

  • Based on Real Time Remote Health Monitoring Systems: A New Approach for Prioritization "Large Scales Data" Patients with Chronic Heart Diseases Using Body Sensors and Communication Technology.

    Naser Kalid;A. A. Zaidan;B. B. Zaidan;Omar Hussein Salman

  • Blockchain authentication of network applications: Taxonomy, classification, capabilities, open challenges, motivations, recommendations and future directions

    A. H. Mohsin;A. A. Zaidan;B. B. Zaidan;Osamah Shihab Albahri

  • Conceptual framework for the security of mobile health applications on Android platform

    Muzammil Hussain;A.A. Zaidan;B.B. Zidan;S. Iqbal

  • 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

  • Real-Time Fault-Tolerant mHealth System: Comprehensive Review of Healthcare Services, Opens Issues, Challenges and Methodological Aspects

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

  • Hybrid artificial neural network and structural equation modelling techniques: a survey

    A S Albahri;Alhamzah Alnoor;A A Zaidan;O S Albahri

  • 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

  • A review on smartphone skin cancer diagnosis apps in evaluation and benchmarking: coherent taxonomy, open issues and recommendation pathway solution

    A. A. Zaidan;B. B. Zaidan;O. S. Albahri;M. A. Alsalem

Frequent Co-Authors

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
O. S. Albahri
O. S. Albahri Victorian Institute of Technology
M. A. Alsalem
M. A. Alsalem University of Mosul
Mamoun Alazab
Mamoun Alazab Charles Darwin University
Uwe Aickelin
Uwe Aickelin University of Melbourne
Miss Laiha Mat Kiah
Miss Laiha Mat Kiah University of Malaya
Gang Kou
Gang Kou Southwestern University of Finance and Economics

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