Amr S. Ghoneim
- Radiology, Nuclear Medicine and Imaging top 5%
- Ophthalmology top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Aliaa A. A. YoussifAtef Z. GhalwashAyman AtiaDaryl EssamShaimaa G. A. MohamedSalma JamalOmar MohamedGhada Khoriba
- Topics
- Human Pose and Action Recognition (4 papers)Context-Aware Activity Recognition Systems (4 papers)Anomaly Detection Techniques and Applications (4 papers)
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Transactions on Medical Imaging
In The Last Decade
Amr S. Ghoneim
15 papers receiving 365 citations
Peers
Comparison fields: 5 of 47
- Radiology, Nuclear Medicine and Imaging 332
- Ophthalmology 290
- Computer Vision and Pattern Recognition 255
- Artificial Intelligence 21
- Biomedical Engineering 20
Countries citing papers authored by Amr S. Ghoneim
This map shows the geographic impact of Amr S. Ghoneim'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 Amr S. Ghoneim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amr S. Ghoneim more than expected).
Fields of papers citing papers by Amr S. Ghoneim
This network shows the impact of papers produced by Amr S. Ghoneim. 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 Amr S. Ghoneim. The network helps show where Amr S. Ghoneim may publish in the future.
Co-authorship network of co-authors of Amr S. Ghoneim
This figure shows the co-authorship network connecting the top 25 collaborators of Amr S. Ghoneim. A scholar is included among the top collaborators of Amr S. Ghoneim 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 Amr S. Ghoneim. Amr S. Ghoneim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 14 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 14 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 334 |
About Amr S. Ghoneim
Amr S. Ghoneim is a scholar working on Computer Vision and Pattern Recognition, Software and Rehabilitation, having authored 19 papers that have together received 403 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Context-Aware Activity Recognition Systems (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Ophthalmology (290 citations), Radiology, Nuclear Medicine and Imaging (332 citations) and Computer Vision and Pattern Recognition (255 citations). Amr S. Ghoneim has collaborated with scholars based in Egypt, Australia and Malaysia. Frequent co-authors include Aliaa A. A. Youssif, Atef Z. Ghalwash, Ayman Atia, Daryl Essam, Shaimaa G. A. Mohamed, Salma Jamal, Omar Mohamed, Ghada Khoriba, Hussein A. Abbass and Theam Foo Ng. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Medical Imaging.
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.