Hossam El-Din Moustafa
- Neurology top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Health Information Management top 2%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Ahmed ElnakibHesham AliFahmi KhalifaHatem KhaterHanan M. AmerEhab H. AbdelhayAmr E. Eldin RashedIdris Ismail
- Topics
- AI in cancer detection (12 papers)Brain Tumor Detection and Classification (11 papers)Artificial Intelligence in Healthcare (10 papers)
- Journals
- Scientific ReportsIEEE AccessCancers
- Partner nations
- EgyptUnited StatesSaudi Arabia
In The Last Decade
Hossam El-Din Moustafa
44 papers receiving 510 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Neurology 223
- Artificial Intelligence 220
- Radiology, Nuclear Medicine and Imaging 159
- Health Information Management 110
- Computer Vision and Pattern Recognition 110
Countries citing papers authored by Hossam El-Din Moustafa
This map shows the geographic impact of Hossam El-Din Moustafa'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 Hossam El-Din Moustafa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hossam El-Din Moustafa more than expected).
Fields of papers citing papers by Hossam El-Din Moustafa
This network shows the impact of papers produced by Hossam El-Din Moustafa. 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 Hossam El-Din Moustafa. The network helps show where Hossam El-Din Moustafa may publish in the future.
Co-authorship network of co-authors of Hossam El-Din Moustafa
This figure shows the co-authorship network connecting the top 25 collaborators of Hossam El-Din Moustafa. A scholar is included among the top collaborators of Hossam El-Din Moustafa 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 Hossam El-Din Moustafa. Hossam El-Din Moustafa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 60 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | Deep segmentation of the liver and the hepatic tumors from abdomen CT images | 0 |
| 14 | 15 | |
| 15 | 19 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | Assessing Problem-Based Learning : A Case Study of a Medically Oriented Biophysics Problem-Based Learning Course | 2 |
| 20 | A new combination method for background subtraction in video sequences | 1 |
About Hossam El-Din Moustafa
Hossam El-Din Moustafa is a scholar working on Health Information Management, Neurology and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 536 indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Brain Tumor Detection and Classification (11 papers) and Artificial Intelligence in Healthcare (10 papers). The work is most often cited by research in Neurology (223 citations), Health Information Management (110 citations) and Artificial Intelligence (220 citations). Hossam El-Din Moustafa has collaborated with scholars based in Egypt, United States and Saudi Arabia. Frequent co-authors include Ahmed Elnakib, Hesham Ali, Fahmi Khalifa, Hatem Khater, Hanan M. Amer, Ehab H. Abdelhay, Amr E. Eldin Rashed, Idris Ismail, Fayez W. Zaki and Gehad A. Saleh. Their work appears in journals such as Scientific Reports, IEEE Access and Cancers.
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.