Nagwan Abdel Samee
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Neurology top 5%
- Electrical and Electronic Engineering
- Co-authors
- Essam H. HousseinGhada AtteiaNoha F. MahmoudMarwa M. EmamMona JamjoomDiego OlivaMaali AlabdulhafithMugahed A. Al–antari
- Topics
- AI in cancer detection (15 papers)Brain Tumor Detection and Classification (12 papers)Metaheuristic Optimization Algorithms Research (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- Saudi ArabiaEgyptSouth Korea
In The Last Decade
Nagwan Abdel Samee
88 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 617
- Computer Vision and Pattern Recognition 348
- Radiology, Nuclear Medicine and Imaging 280
- Neurology 232
- Electrical and Electronic Engineering 108
Countries citing papers authored by Nagwan Abdel Samee
This map shows the geographic impact of Nagwan Abdel Samee'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 Nagwan Abdel Samee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nagwan Abdel Samee more than expected).
Fields of papers citing papers by Nagwan Abdel Samee
This network shows the impact of papers produced by Nagwan Abdel Samee. 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 Nagwan Abdel Samee. The network helps show where Nagwan Abdel Samee may publish in the future.
Co-authorship network of co-authors of Nagwan Abdel Samee
This figure shows the co-authorship network connecting the top 25 collaborators of Nagwan Abdel Samee. A scholar is included among the top collaborators of Nagwan Abdel Samee 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 Nagwan Abdel Samee. Nagwan Abdel Samee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 9 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 17 | |
| 11 | 21 | |
| 12 | 14 | |
| 13 | 35 | |
| 14 | 41 | |
| 15 | 45 | |
| 16 | 5 | |
| 17 | 40 | |
| 18 | 20 | |
| 19 | 4 | |
| 20 | 4 |
About Nagwan Abdel Samee
Nagwan Abdel Samee is a scholar working on Health Information Management, Health Informatics and Artificial Intelligence, having authored 101 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Brain Tumor Detection and Classification (12 papers) and Metaheuristic Optimization Algorithms Research (12 papers). The work is most often cited by research in Neurology (232 citations), Health Informatics (30 citations) and Health Information Management (90 citations). Nagwan Abdel Samee has collaborated with scholars based in Saudi Arabia, Egypt and South Korea. Frequent co-authors include Essam H. Houssein, Ghada Atteia, Noha F. Mahmoud, Marwa M. Emam, Mona Jamjoom, Diego Oliva, Maali Alabdulhafith, Mugahed A. Al–antari, Yasser M. Kadah and Amel Ali Alhussan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.