Mohamed Hammad
Impact in
- Health Informatics top 2%
-
- ECG Monitoring and Analysis
Papers in
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- ECG Monitoring and Analysis 21
-
- Advanced Neural Network Applications 7
- Co-authors
- Kuanquan Wang (8 shared papers)Ahmed A. Abd El‐Latif (29 shared papers)Paweł Pławiak (33 shared papers)Mohamed Jaward Bah (2 shared papers)Hongzhi Wang (2 shared papers)Abdullah M. Iliyasu (5 shared papers)Brij B. Gupta (3 shared papers)Ryszard Tadeusiewicz (14 shared papers)
- Journals
- IEEE Access (7 papers)Sensors (7 papers)Journal of Applied Biomedicine (7 papers)Information Sciences (6 papers)Applied Sciences (3 papers)
- Partner nations
- EgyptSaudi ArabiaPoland
In The Last Decade
Mohamed Hammad
75 papers receiving 2.8k citations
Mohamed Hammad's Hit Papers
Peers
Comparison fields: 5 of 153
- Health Informatics 56
- Cardiology and Cardiovascular Medicine 750
- Signal Processing 374
- Health Information Management 139
- Cognitive Neuroscience 568
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-authors
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
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Progress in Outlier Detection Techniques: A Survey Hit paper breakdown → | 2019 | 343 |
| 2 | 2020 | 186 | |
| 3 | 2018 | 177 | |
| 4 | 2018 | 153 | |
| 5 | 2020 | 146 | |
| 6 | 2021 | 144 | |
| 7 | 2020 | 142 | |
| 8 | 2021 | 111 | |
| 9 | 2020 | 98 | |
| 10 | 2023 | 96 | |
| 11 | 2019 | 95 | |
| 12 | 2018 | 79 | |
| 13 | 2022 | 74 | |
| 14 | 2023 | 66 | |
| 15 | 2022 | 64 | |
| 16 | 2018 | 58 | |
| 17 | 2023 | 53 | |
| 18 | 2018 | 52 | |
| 19 | 2022 | 47 | |
| 20 | 2021 | 45 |
About Mohamed Hammad
Mohamed Hammad is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence and Signal Processing, having authored 82 papers that have together received 2.9k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (21 papers), EEG and Brain-Computer Interfaces (18 papers), Biometric Identification and Security (9 papers), COVID-19 diagnosis using AI (9 papers), Anomaly Detection Techniques and Applications (7 papers), Non-Invasive Vital Sign Monitoring (7 papers), Advanced Neural Network Applications (7 papers) and User Authentication and Security Systems (6 papers). The work is most often cited by research in Health Informatics (56 citations), Cardiology and Cardiovascular Medicine (750 citations), Signal Processing (374 citations), Health Information Management (139 citations) and Cognitive Neuroscience (568 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, Mohamed Jaward Bah, Hongzhi Wang, Abdullah M. Iliyasu, Brij B. Gupta, Ryszard Tadeusiewicz, Ahmed Sedik and Yashu Liu. Their work appears in journals such as IEEE Access, Sensors, Journal of Applied Biomedicine, Information Sciences and Applied Sciences.
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.