Mohamed Hammad
- Health Informatics top 2%
- Signal Processing top 2%
- Biometric Identification and Security 7
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- ECG Monitoring and Analysis 21
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 18
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- COVID-19 diagnosis using AI 9
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- Anomaly Detection Techniques and Applications 8
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- Non-Invasive Vital Sign Monitoring 7
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- Advanced Neural Network Applications 7
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- User Authentication and Security Systems 5
- Co-authors
- Kuanquan WangAhmed A. Abd El‐LatifPaweł PławiakHongzhi WangMohamed Jaward BahAbdullah M. IliyasuBrij B. GuptaAhmed Sedik
- Partner nations
- EgyptSaudi ArabiaPoland
In The Last Decade
Mohamed Hammad
71 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Health Informatics 61
- Signal Processing 370
- Cardiology and Cardiovascular Medicine 728
- Health Information Management 139
- Cognitive Neuroscience 580
Countries citing papers authored by Mohamed Hammad
This map shows the geographic impact of Mohamed Hammad's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohamed Hammad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Hammad more than expected).
Fields of papers citing papers by Mohamed Hammad
This network shows the impact of papers produced by Mohamed Hammad. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohamed Hammad. The network helps show where Mohamed Hammad may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohamed Hammad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | Two-tier deep and machine learning approach optimized by adaptive multi-population firefly algorithm for software defects predictionbreakdown → | 2025 | 22 |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 28 | |
| 10 | 2023 | 81 | |
| 11 | 2023 | 57 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 13 | |
| 14 | 2023 | 28 | |
| 15 | 2020 | 139 | |
| 16 | 2020 | 179 | |
| 17 | 2019 | 5 | |
| 18 | Progress in Outlier Detection Techniques: A Surveybreakdown → | 2019 | 334 |
| 19 | A novel biometric based on ECG signals and images for human authentication. | 2016 | 7 |
| 20 | 2008 | 0 |
About Mohamed Hammad
Mohamed Hammad is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Health Information Management, having authored 78 papers that have together received 2.8k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (21 papers), EEG and Brain-Computer Interfaces (18 papers), COVID-19 diagnosis using AI (9 papers), Anomaly Detection Techniques and Applications (8 papers), Biometric Identification and Security (7 papers), Non-Invasive Vital Sign Monitoring (7 papers), Advanced Neural Network Applications (7 papers) and User Authentication and Security Systems (5 papers). The work is most often cited by research in Health Informatics (61 citations), Signal Processing (370 citations), Cardiology and Cardiovascular Medicine (728 citations), Health Information Management (139 citations) and Cognitive Neuroscience (580 citations). Mohamed Hammad has collaborated with scholars based in Egypt, Saudi Arabia and Poland. Frequent co-authors include Kuanquan Wang, Ahmed A. Abd El‐Latif, Paweł Pławiak, Hongzhi Wang, Mohamed Jaward Bah, Abdullah M. Iliyasu, Brij B. Gupta, Ahmed Sedik, Ryszard Tadeusiewicz and Yashu Liu. Their work appears in journals such as IEEE Access, Sensors, Journal of Applied Biomedicine, Information Sciences and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.