World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
7133
World Ranking
11975
National Ranking
757

Overview

Emmanuel Ifeachor is a researcher affiliated with Plymouth University in the United Kingdom. Their scholarly work spans a combination of Medicine and Computer Science with a focus on intersections between these fields.

Their recent publications cover a range of topics related to neurological disorders, machine learning, and healthcare data analysis. These include:

  • Early Detection of Alzheimer's Disease with Blood Plasma Proteins Using Support Vector Machines, 2020, published in IEEE Journal of Biomedical and Health Informatics
  • Robust EEG Based Biomarkers to Detect Alzheimer's Disease, 2021, published in Brain Sciences
  • QoEMultiSDN: Management of Multimedia Services Using MPTCP/SR in Softwarized and Virtualized Networks, 2020, published in IEEE Access
  • Machine learning to predict stroke risk from routine hospital data: A systematic review, 2025, published in International Journal of Medical Informatics
  • 095 Artificial Intelligence based detection of Parkinson's disease in magnetic resonance imaging brain scans, 2022, published in Journal of Neurology Neurosurgery & Psychiatry

Ifeachor collaborates frequently with a select group of coauthors including Lingfen Sun, Megan Courtman, Stephen Mullin, Mark Thurston, and Shaymaa Al-Juboori. These collaborations represent ongoing research partnerships that have produced multiple works.

Their publications commonly appear in venues such as bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), IEEE Journal of Biomedical and Health Informatics, Brain Sciences, and International Journal of Medical Informatics.

Emmanuel Ifeachor's main areas of study include Medicine and Computer Science, with a particular emphasis on several subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Cognitive Neuroscience
  • Epidemiology
  • Physiology

Their research topics cover a spectrum related to neurological and clinical conditions, as well as technical approaches in healthcare:

  • Acute Ischemic Stroke Management
  • Machine Learning in Healthcare
  • Image and Video Quality Assessment
  • Functional Brain Connectivity Studies
  • Radiomics and Machine Learning in Medical Imaging
  • Artificial Intelligence in Healthcare and Education
  • Alzheimer's disease research and treatments

This body of work reflects an integration of medical science and computational methods aimed at improving diagnostic and predictive tools, particularly in brain-related conditions and healthcare informatics.

Best Publications

  • Digital Signal Processing: A Practical Approach

    Emmanuel C. Ifeachor;Barrie W. Jervis;E. L. Dagless;J. O. O'Reilly

  • Voice quality prediction models and their application in VoIP networks

    Lingfen Sun;E.C. Ifeachor

  • Receiver operating characteristic analysis for intelligent medical systems-a new approach for finding confidence intervals

    J.B. Tilbury;W.J. Van Eetvelt;J.M. Garibaldi;J.S.H. Curnsw

  • Quality of experience-driven adaptation scheme for video applications over wireless networks

    Asiya Khan;Lingfen Sun;Emmanuel Jammeh;Emmanuel C. Ifeachor

  • QoE Prediction Model and its Application in Video Quality Adaptation Over UMTS Networks

    A. Khan;Lingfen Sun;E. Ifeachor

  • A multicentre comparative study of 17 experts and an intelligent computer system for managing labour using the cardiotocogram.

    Robert D. F. Keith;Sarah Beckley;Jonathan M. Garibaldi;Jenny A. Westgate

  • Digital Signal Processing; A Practical Approach, 2nd edition

    Emmanuel C Ifeachor;Barrie W. Jervis

  • Content-Based Video Quality Prediction for MPEG4 Video Streaming over Wireless Networks

    Asiya Khan;Lingfen Sun;Emmanuel C. Ifeachor

  • New models for perceived voice quality prediction and their applications in playout buffer optimization for VoIP networks

    Lingfen Sun;E. Ifeachor

  • Artificial Neural Networks in Biomedicine

    P. J. Lisboa;Piotr S. Szczepaniak;J. C. Mason;Emmanuel C. Ifeachor

  • Content Clustering Based Video Quality Prediction Model for MPEG4 Video Streaming over Wireless Networks

    A. Khan;L. Sun;E. Ifeachor

  • Machine Learning-Based Method for Personalized and Cost-Effective Detection of Alzheimer's Disease

    J. Escudero;E. Ifeachor;J. P. Zajicek;C. Green

  • Early Detection of Alzheimer's Disease with Blood Plasma Proteins Using Support Vector Machines

    Chima S. Eke;Emmanuel Jammeh;Xinzhong Li;Camille Carroll

  • Perceived speech quality prediction for voice over IP-based networks

    Lingfen Sun;E.C. Ifeachor

  • Application of simulated annealing fuzzy model tuning to umbilical cord acid-base interpretation

    J.M. Garibaldi;E.C. Ifeachor

  • Automatic design of frequency sampling filters by hybrid genetic algorithm techniques

    S.P. Harris;E.C. Ifeachor

  • The removal of ocular artefacts from the electroencephalogram: a review

    B. W. Jervis;E. C. Ifeachor;E. M. Allen

  • Prediction of perceived conversational speech quality and effects of playout buffer algorithms

    Lingfen Sun;E.C. Ifeachor

  • Content-Based Video Quality Prediction for HEVC Encoded Videos Streamed Over Packet Networks

    Louis Anegekuh;Lingfen Sun;Emmanuel Jammeh;Is-Haka Mkwawa

  • A new method for VoIP quality of service control use combined adaptive sender rate and priority marking

    Zizhi Qiao;Lingfen Sun;N. Heilemann;E. Ifeachor

  • Techniques for optimal enhancement and feature extraction of fetal electrocardiogram

    N.J. Outram;E.C. Ifeachor;P.W.J. Van Eetvelt;J.S.H. Curnow

Frequent Co-Authors

Javier Escudero
Javier Escudero University of Edinburgh
Jonathan M. Garibaldi
Jonathan M. Garibaldi University of Nottingham
Steven Furnell
Steven Furnell University of Nottingham
Paulo J. G. Lisboa
Paulo J. G. Lisboa Liverpool John Moores University
Roberta Lizio
Roberta Lizio Sapienza University of Rome
Jorge J. Palop
Jorge J. Palop University of California, San Francisco
Görsev Yener
Görsev Yener Dokuz Eylül University
Wilhelmus Drinkenburg
Wilhelmus Drinkenburg Johnson & Johnson (United States)
Bahar Güntekin
Bahar Güntekin Istanbul Medipol University
Alberto Fernández
Alberto Fernández Complutense University of Madrid

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re considering studying Computer Science in the USA, exploring flexible and alternative pathways can open a world of possibilities. For students concerned about admission requirements, there are many online graduate programs that accept 2.0 gpa, making advanced education more accessible than ever.

Accelerated programs offer the chance to earn your degree quickly and efficiently. Whether you want to switch careers or upskill, check out accelerated computer science degree online options that deliver strong academics in less time.

Looking to broaden your career horizons? Computer Science and related technology skills are in demand across industries. For those interested in sustainability or the natural sciences, explore what career options await with a different specialization by reviewing what can you do with an environmental science major.

And if affordability is a concern, you might be interested in the environmental engineering online degree programs that combine technical learning with environmental expertise.

With so many flexible online pathways, you can tailor your studies and career direction to your unique needs.

Best Scientists Citing Emmanuel Ifeachor

Trending Scientists

Recently Published Articles