Amr Sharaf
About
In The Last Decade
Amr Sharaf
9 papers receiving 94 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 61
- Computer Vision and Pattern Recognition 46
- Epidemiology 18
- Dermatology 16
- Biomedical Engineering 13
Countries citing papers authored by Amr Sharaf
This map shows the geographic impact of Amr Sharaf'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 Sharaf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amr Sharaf more than expected).
Fields of papers citing papers by Amr Sharaf
This network shows the impact of papers produced by Amr Sharaf. 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 Sharaf. The network helps show where Amr Sharaf may publish in the future.
Co-authorship network of co-authors of Amr Sharaf
This figure shows the co-authorship network connecting the top 25 collaborators of Amr Sharaf. A scholar is included among the top collaborators of Amr Sharaf 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 Sharaf. Amr Sharaf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | Data Augmentation for Meta-Learning | 1 |
| 6 | 16 | |
| 7 | Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback | 0 |
| 8 | 4 | |
| 9 | 36 | |
| 10 | 0 | |
| 11 | 19 |
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.