2026 Mohamed Medhat Gaber: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	44	7448	7231	446	441	254	10572

Overview

Mohamed Medhat Gaber is affiliated with Birmingham City University in the United Kingdom. Their primary research interests span across the fields of Computer Science and Medicine, with a significant focus on Artificial Intelligence and its applications in medical imaging and diagnosis.

Their research contributions include work in the subfields of Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Signal Processing, and Oncology. Key topics addressed by their work include AI in cancer detection, COVID-19 diagnosis using AI, anomaly detection techniques and applications, radiomics and machine learning in medical imaging, data stream mining techniques, explainable artificial intelligence (XAI), and digital imaging for blood diseases.

Recent publications by Mohamed Medhat Gaber include the following:

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network, 2020, Applied Intelligence
DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks, 2020, IEEE Access
CHIRPS: Explaining random forest classification, 2020, Artificial Intelligence Review
Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences, 2020, BMC Medical Informatics and Decision Making
4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection, 2021, PubMed Central

The scientist has frequently published in venues such as arXiv (Cornell University), IEEE Access, International Journal of Machine Learning and Cybernetics, Research Square, and Applied Intelligence.

Collaborative work includes frequent co-authorship with researchers like Mohammed M. Abdelsamea, Asmaa Abbas, Hansi Hettiarachchi, R. Muhammad Atif Azad, and Shadi Basurra.

Mohamed Medhat Gaber has contributed to book publications under Springer Nature, notably including titles such as "Federated Learning Systems" (2021) and proceedings for the "International Conference on Artificial Intelligence Science and Applications (CAISA)" (2023).

Best Publications

Mining data streams: a review

Mohamed Medhat Gaber;Arkady Zaslavsky;Shonali Krishnaswamy

1376
Citations
Imitation Learning: A Survey of Learning Methods

Ahmed Hussein;Mohamed Medhat Gaber;Eyad Elyan;Chrisina Jayne

1035
Citations
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network.

Asmaa Abbas;Mohammed M. Abdelsamea;Mohammed M. Abdelsamea;Mohamed Medhat Gaber

1034
Citations
Random forests: from early developments to recent advancements

Khaled Fawagreh;Mohamed Medhat Gaber;Eyad Elyan

773
Citations
Knowledge discovery from data streams

João Gama;Auroop Ganguly;Olufemi Omitaomu;Raju Vatsavai

434
Citations
Learning from Data Streams: Processing Techniques in Sensor Networks

Joao Gama;Mohamed Medhat Gaber

334
Citations
A Survey of Data Mining Techniques for Social Media Analysis

Mariam Adedoyin-Olowe;Mohamed Medhat Gaber;Frederic T. Stahl

202
Citations
SA-E: Sentiment Analysis for Education

Nabeela Altrabsheh;M. Gaber;Mihaela Cocea

137
Citations
Advances in data stream mining

Mohamed Medhat Gaber

132
Citations
Adaptive mobile activity recognition system with evolving data streams

Zahraa Said Abdallah;Mohamed Medhat Gaber;Bala Srinivasan;Shonali Krishnaswamy

131
Citations
A survey of classification methods in data streams

Mohamed Medhat Gaber;Arkady B. Zaslavsky;Shonali Krishnaswamy

127
Citations
Next challenges for adaptive learning systems

Indre Zliobaite;Albert Bifet;Mohamed Gaber;Bogdan Gabrys

117
Citations
DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks

Asmaa Abbas;Mohammed M. Abdelsamea;Mohamed Medhat Gaber

114
Citations
Edge Machine Learning: Enabling Smart Internet of Things Applications

Mahmut Taha Yazici;Shadi Basurra;Mohamed Medhat Gaber

108
Citations
A genetic algorithm approach to optimising random forests applied to class engineered data

Eyad Elyan;Mohamed Medhat Gaber

100
Citations
Reasoning about Context in Uncertain Pervasive Computing Environments

Pari Delir Haghighi;Shonali Krishnaswamy;Arkady Zaslavsky;Mohamed Medhat Gaber

98
Citations
CHIRPS: Explaining random forest classification

Julian Hatwell;Mohamed Medhat Gaber;R. Muhammad Atif Azad

94
Citations
Activity Recognition with Evolving Data Streams: A Review

Zahraa S. Abdallah;Mohamed Medhat Gaber;Bala Srinivasan;Shonali Krishnaswamy

92
Citations
A rule dynamics approach to event detection in Twitter with its application to sports and politics

Mariam Adedoyin-Olowe;Mohamed Medhat Gaber;Carlos M. Dancausa;Frederic Stahl

91
Citations
A framework for resource-aware knowledge discovery in data streams: a holistic approach with its application to clustering

Mohamed Medhat Gaber;Philip S. Yu

89
Citations
On-board Mining of Data Streams in Sensor Networks

Mohamed Medhat Gaber;Shonali Krishnaswamy;Arkady Zaslavsky

83
Citations
Knowledge Discovery from Sensor Data

Auroop R. Ganguly;Joao Gama;Olufemi A. Omitaomu;Mohamed Medhat Gaber

30
Citations
INTELLIGENT DATA ANALYSIS

Joao Gama;Auroop R Ganguly;Olufemi A Omitaomu;Raju Vatsavai

1
Citations

Frequent Co-Authors

Shonali Krishnaswamy Monash University

Arkady Zaslavsky Deakin University

João Gama University of Porto

Alfredo Cuzzocrea University of Calabria

Philip S. Yu University of Illinois at Chicago

Mykola Pechenizkiy Eindhoven University of Technology

Bala Srinivasan Monash University

Seng Wai Loke Deakin University

Nitesh V. Chawla University of Notre Dame

Bogdan Gabrys University of Technology Sydney

External Links

Personal website of Mohamed Medhat Gaber Google Scholar page

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