Maymouna Ezeddin
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Pulmonary and Respiratory Medicine
- Co-authors
- Muhammad E. H. ChowdhuryAmith KhandakarSerkan KıranyazAnas TahirNabil IbtehazSomaya Al-MáadeedYazan QiblaweySakib Mahmud
- Topics
- COVID-19 diagnosis using AI (2 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)Electrical Fault Detection and Protection (1 paper)
- Journals
- SensorsDiagnosticsQatar University QSpace (Qatar University)
- Partner nations
- QatarBangladeshMalaysia
In The Last Decade
Maymouna Ezeddin
6 papers receiving 242 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Radiology, Nuclear Medicine and Imaging 117
- Artificial Intelligence 72
- Biomedical Engineering 46
- Computer Vision and Pattern Recognition 40
- Pulmonary and Respiratory Medicine 30
Countries citing papers authored by Maymouna Ezeddin
This map shows the geographic impact of Maymouna Ezeddin'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 Maymouna Ezeddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maymouna Ezeddin more than expected).
Fields of papers citing papers by Maymouna Ezeddin
This network shows the impact of papers produced by Maymouna Ezeddin. 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 Maymouna Ezeddin. The network helps show where Maymouna Ezeddin may publish in the future.
Co-authorship network of co-authors of Maymouna Ezeddin
This figure shows the co-authorship network connecting the top 25 collaborators of Maymouna Ezeddin. A scholar is included among the top collaborators of Maymouna Ezeddin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maymouna Ezeddin. Maymouna Ezeddin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | COVID-19 infection localization and severity grading from chest X-ray imagesbreakdown → | 116 |
| 3 | 21 | |
| 4 | 52 | |
| 5 | 21 | |
| 6 | 11 |
About Maymouna Ezeddin
Maymouna Ezeddin is a scholar working on General Dentistry, Human-Computer Interaction and Signal Processing, having authored 6 papers that have together received 247 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Electrical Fault Detection and Protection (1 paper). The work is most often cited by research in Health Informatics (16 citations), Radiology, Nuclear Medicine and Imaging (117 citations) and Human-Computer Interaction (25 citations). Maymouna Ezeddin has collaborated with scholars based in Qatar, Bangladesh and Malaysia. Frequent co-authors include Muhammad E. H. Chowdhury, Amith Khandakar, Serkan Kıranyaz, Anas Tahir, Nabil Ibtehaz, Somaya Al-Máadeed, Yazan Qiblawey, Sakib Mahmud, Tawsifur Rahman and Muhammad Abdul Kadir. Their work appears in journals such as Sensors, Diagnostics and Qatar University QSpace (Qatar University).
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.