Mustafa Elattar
- Radiology, Nuclear Medicine and Imaging top 10%
- Cardiology and Cardiovascular Medicine
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Oncology
- Co-authors
- Ahmed Tashrif KamalHenk A. MarqueringR. Nils PlankenJan BaanEd VanBavelEsther WiegerinckAlan H. KadishNicholas Ayache
- Topics
- Cardiac Valve Diseases and Treatments (8 papers)Cardiac Imaging and Diagnostics (5 papers)COVID-19 diagnosis using AI (5 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- EgyptNetherlandsUnited Kingdom
In The Last Decade
Mustafa Elattar
28 papers receiving 440 citations
Peers
Comparison fields: 5 of 79
- Radiology, Nuclear Medicine and Imaging 148
- Cardiology and Cardiovascular Medicine 131
- Computer Vision and Pattern Recognition 118
- Artificial Intelligence 117
- Oncology 76
Countries citing papers authored by Mustafa Elattar
This map shows the geographic impact of Mustafa Elattar'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 Mustafa Elattar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mustafa Elattar more than expected).
Fields of papers citing papers by Mustafa Elattar
This network shows the impact of papers produced by Mustafa Elattar. 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 Mustafa Elattar. The network helps show where Mustafa Elattar may publish in the future.
Co-authorship network of co-authors of Mustafa Elattar
This figure shows the co-authorship network connecting the top 25 collaborators of Mustafa Elattar. A scholar is included among the top collaborators of Mustafa Elattar 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 Mustafa Elattar. Mustafa Elattar 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 27 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 15 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 32 | |
| 19 | 34 | |
| 20 | 13 |
About Mustafa Elattar
Mustafa Elattar is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 449 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (8 papers), Cardiac Imaging and Diagnostics (5 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Health Informatics (13 citations), Radiology, Nuclear Medicine and Imaging (148 citations) and Computer Vision and Pattern Recognition (118 citations). Mustafa Elattar has collaborated with scholars based in Egypt, Netherlands and United Kingdom. Frequent co-authors include Ahmed Tashrif Kamal, Henk A. Marquering, R. Nils Planken, Jan Baan, Ed VanBavel, Esther Wiegerinck, Alan H. Kadish, Nicholas Ayache, Alistair A. Young and Daniel Lee. Their work appears in journals such as PLoS ONE, 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.