Yousry AbdulAzeem
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Neurology top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Networks and Communications
- Co-authors
- Mahmoud BadawyHossam Magdy BalahaMostafa A. ElhosseiniHesham AliNadiah A. BaghdadiAmer MalkiMohammed FarsiQingmao Hu
- Topics
- Data Management and Algorithms (4 papers)Advanced Database Systems and Queries (3 papers)AI in cancer detection (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- EgyptSaudi ArabiaUnited States
In The Last Decade
Yousry AbdulAzeem
22 papers receiving 365 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 146
- Computer Vision and Pattern Recognition 121
- Neurology 113
- Radiology, Nuclear Medicine and Imaging 96
- Computer Networks and Communications 45
Countries citing papers authored by Yousry AbdulAzeem
This map shows the geographic impact of Yousry AbdulAzeem'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 Yousry AbdulAzeem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yousry AbdulAzeem more than expected).
Fields of papers citing papers by Yousry AbdulAzeem
This network shows the impact of papers produced by Yousry AbdulAzeem. 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 Yousry AbdulAzeem. The network helps show where Yousry AbdulAzeem may publish in the future.
Co-authorship network of co-authors of Yousry AbdulAzeem
This figure shows the co-authorship network connecting the top 25 collaborators of Yousry AbdulAzeem. A scholar is included among the top collaborators of Yousry AbdulAzeem 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 Yousry AbdulAzeem. Yousry AbdulAzeem 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 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 36 | |
| 9 | 7 | |
| 10 | 24 | |
| 11 | 34 | |
| 12 | 100 | |
| 13 | 39 | |
| 14 | 32 | |
| 15 | 4 | |
| 16 | 17 | |
| 17 | 13 | |
| 18 | 8 | |
| 19 | 1 | |
| 20 | 2 |
About Yousry AbdulAzeem
Yousry AbdulAzeem is a scholar working on Health Informatics, Signal Processing and Modeling and Simulation, having authored 23 papers that have together received 381 indexed citations. Recurring topics across this work include Data Management and Algorithms (4 papers), Advanced Database Systems and Queries (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Neurology (113 citations), Health Informatics (12 citations) and Health Information Management (32 citations). Yousry AbdulAzeem has collaborated with scholars based in Egypt, Saudi Arabia and United States. Frequent co-authors include Mahmoud Badawy, Hossam Magdy Balaha, Mostafa A. Elhosseini, Hesham Ali, Nadiah A. Baghdadi, Amer Malki, Mohammed Farsi, Qingmao Hu, Ahmed Elazab and Mohammed El-Abd. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.