Mostafa Salem
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies
Papers in
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- Cardiac Valve Diseases and Treatments 3
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- Digital Imaging for Blood Diseases 1
- Co-authors
- Xavier Lladó (6 shared papers)Arnau Oliver (6 shared papers)Àlex Rovira (5 shared papers)Sergi Valverde (5 shared papers)Joaquím Salví (4 shared papers)Mariano Cabezas (3 shared papers)Deborah Pareto (3 shared papers)Ahmed I. Taloba (4 shared papers)
In The Last Decade
Mostafa Salem
15 papers receiving 404 citations
Peers
Comparison fields: 5 of 74
- Neurology 60
- Pathology and Forensic Medicine 100
- Computer Vision and Pattern Recognition 86
- Health Informatics 5
- Media Technology 29
Countries citing papers authored by Mostafa Salem
This map shows the geographic impact of Mostafa Salem'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 Mostafa Salem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mostafa Salem more than expected).
Fields of papers citing papers by Mostafa Salem
This network shows the impact of papers produced by Mostafa Salem. 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 Mostafa Salem. The network helps show where Mostafa Salem may publish in the future.
Co-authors
The 25 scholars most cited alongside Mostafa Salem, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 107 | |
| 2 | 2022 | 88 | |
| 3 | 2019 | 58 | |
| 4 | 2017 | 43 | |
| 5 | 2023 | 42 | |
| 6 | 2023 | 24 | |
| 7 | 2021 | 15 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2025 | 0 | |
| 17 | 2021 | 0 |
About Mostafa Salem
Mostafa Salem is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Artificial Intelligence, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 419 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (3 papers), Ultrasound Imaging and Elastography (2 papers), Aortic Disease and Treatment Approaches (2 papers), Image Processing Techniques and Applications (2 papers), Multiple Sclerosis Research Studies (2 papers), Cardiac Imaging and Diagnostics (1 paper), Streptococcal Infections and Treatments (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Neurology (60 citations), Pathology and Forensic Medicine (100 citations), Computer Vision and Pattern Recognition (86 citations), Health Informatics (5 citations) and Media Technology (29 citations). Mostafa Salem has collaborated with scholars based in Egypt, Germany and Spain. Frequent co-authors include Xavier Lladó, Arnau Oliver, Àlex Rovira, Sergi Valverde, Joaquím Salví, Mariano Cabezas, Deborah Pareto, Ahmed I. Taloba, Rasha M. Abd El-Aziz and Ahmed Elhadad. Their work appears in journals such as Journal of Clinical Medicine, Alexandria Engineering Journal, Frontiers in Neuroscience, NeuroImage Clinical and Cancers.
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.