Ahmed Shaffie
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Ayman El‐BazAhmed SolimanMohammed GhazalAdel ElmaghrabyFatma TaherNeal DunlapHadil Abu KhalifehVictor van Berkel
- Topics
- Radiomics and Machine Learning in Medical Imaging (22 papers)Lung Cancer Diagnosis and Treatment (16 papers)AI in cancer detection (9 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Partner nations
- United StatesUnited Arab EmiratesEgypt
In The Last Decade
Ahmed Shaffie
26 papers receiving 307 citations
Peers
Comparison fields: 5 of 59
- Radiology, Nuclear Medicine and Imaging 232
- Pulmonary and Respiratory Medicine 136
- Artificial Intelligence 108
- Biomedical Engineering 49
- Computer Vision and Pattern Recognition 37
Countries citing papers authored by Ahmed Shaffie
This map shows the geographic impact of Ahmed Shaffie'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 Ahmed Shaffie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahmed Shaffie more than expected).
Fields of papers citing papers by Ahmed Shaffie
This network shows the impact of papers produced by Ahmed Shaffie. 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 Ahmed Shaffie. The network helps show where Ahmed Shaffie may publish in the future.
Co-authorship network of co-authors of Ahmed Shaffie
This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed Shaffie. A scholar is included among the top collaborators of Ahmed Shaffie 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 Ahmed Shaffie. Ahmed Shaffie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 10 | |
| 4 | 11 | |
| 5 | 38 | |
| 6 | 24 | |
| 7 | 4 | |
| 8 | 21 | |
| 9 | 15 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 13 | |
| 14 | 4 | |
| 15 | 21 | |
| 16 | 3 | |
| 17 | 10 | |
| 18 | 6 | |
| 19 | 6 | |
| 20 | 4 |
About Ahmed Shaffie
Ahmed Shaffie is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 28 papers that have together received 310 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (22 papers), Lung Cancer Diagnosis and Treatment (16 papers) and AI in cancer detection (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (232 citations), Health Informatics (11 citations) and Pulmonary and Respiratory Medicine (136 citations). Ahmed Shaffie has collaborated with scholars based in United States, United Arab Emirates and Egypt. Frequent co-authors include Ayman El‐Baz, Ahmed Soliman, Mohammed Ghazal, Adel Elmaghraby, Fatma Taher, Neal Dunlap, Hadil Abu Khalifeh, Victor van Berkel, Robert Keynton and Mohamed Shehata. Their work appears in journals such as Scientific Reports, Sensors and Medical Physics.
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.