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M. A. Alsalem

M. A. Alsalem

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
40
Citations
3730
World Ranking
674
National Ranking
5

Computer Science

D-Index
41
Citations
4145
World Ranking
9003
National Ranking
7

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

M. A. Alsalem is affiliated with the University of Mosul in Iraq and primarily works in the field of Computer Science. Their research spans various subfields, including Computer Vision and Pattern Recognition, Management Science and Operations Research, Information Systems, Radiology, Nuclear Medicine and Imaging, and Health Information Management.

The scientist's work focuses on several key topics, notably Multi-Criteria Decision Making, COVID-19 diagnosis using Artificial Intelligence, Artificial Intelligence applications in Healthcare, Mobile Health and mHealth Applications, Image Enhancement Techniques, Fire Detection and Safety Systems, and Blockchain Technology Applications and Security.

Their recent publications include:

  • "Rise of multiattribute decision-making in combating COVID-19: A systematic review of the state-of-the-art literature" (2021), published in International Journal of Intelligent Systems
  • "Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review" (2020), published in Journal of Medical Systems
  • "IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art" (2020), published in Journal of Network and Computer Applications
  • "A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria decision analysis methods" (2020), published in Neural Computing and Applications
  • "A Novel Multi-Perspective Benchmarking Framework for Selecting Image Dehazing Intelligent Algorithms Based on BWM and Group VIKOR Techniques" (2020), published in International Journal of Information Technology & Decision Making

Frequent co-authors who collaborate extensively with M. A. Alsalem include:

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

The scientist frequently publishes in the following venues:

  • International Journal of Information Technology & Decision Making
  • International Journal of Intelligent Systems
  • Neural Computing and Applications
  • IEEE Access
  • Journal of Medical Systems

Best Publications

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review

    Unknown

  • 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

  • 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

  • Medical emergency triage and patient prioritisation in a telemedicine environment: a systematic review

    N. M. Napi;A. A. Zaidan;B. B. Zaidan;O. S. Albahri

  • Multiclass Benchmarking Framework for Automated Acute Leukaemia Detection and Classification Based on BWM and Group-VIKOR

    M. A. Alsalem;A. A. Zaidan;B. B. Zaidan;Osamah Shihab Albahri

  • Based on T-spherical fuzzy environment: A combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients

    MA Alsalem;Hassan Alsattar;AS Albahri;RT Mohammed

  • Comprehensive review and analysis of anti-malware apps for smartphones

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

  • A review of the automated detection and classification of acute leukaemia: Coherent taxonomy, datasets, validation and performance measurements, motivation, open challenges and recommendations.

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

  • Rise of multiattribute decision-making in combating COVID-19: A systematic review of the state-of-the-art literature

    Mohammed Assim Alsalem;Rawia Mohammed;Osamah Shihab Albahri;Aws Alaa Zaidan

  • Assessment and Ranking Framework for the English Skills of Pre-Service Teachers Based on Fuzzy Delphi and TOPSIS Methods

    Musaab Alaa;Intan Safinas Mohd Ariff Albakri;Charanjit Kaur Swaran Singh;Hamsa Hammed

  • Based blockchain-PSO-AES techniques in finger vein biometrics: A novel verification secure framework for patient authentication

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

  • A Novel Multi-Perspective Benchmarking Framework for Selecting Image Dehazing Intelligent Algorithms Based on BWM and Group VIKOR Techniques

    Karrar Hameed Abdulkareem;Karrar Hameed Abdulkareem;Nureize Arbaiy;A. A. Zaidan;B. B. Zaidan

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
A. S. Albahri
A. S. Albahri Imam Ja'afar al-Sadiq University
Karrar Hameed Abdulkareem
Karrar Hameed Abdulkareem Al-Muthana University
Mamoun Alazab
Mamoun Alazab Charles Darwin University
Miss Laiha Mat Kiah
Miss Laiha Mat Kiah University of Malaya
Uwe Aickelin
Uwe Aickelin University of Melbourne

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