Mohamed Shaban
- Ophthalmology top 5%
- Retinal Diseases and Treatments 4
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- Retinal Imaging and Analysis 4
- Radiomics and Machine Learning in Medical Imaging 3
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- Parkinson's Disease Mechanisms and Treatments 6
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- EEG and Brain-Computer Interfaces 9
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- AI in cancer detection 6
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- Neuroscience and Neural Engineering 4
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- Remote-Sensing Image Classification 4
- Co-authors
- Ayman El‐BazMohammed GhazalOnkar DikshitAmy W. AmaraAhmed ShalabyAli MahmoudHadil Abu KhalifehHarpal S. Sandhu
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (3 papers)Sensors (1 paper)
- Partner nations
- United StatesUnited Arab EmiratesIndia
In The Last Decade
Mohamed Shaban
32 papers receiving 466 citations
Peers
Comparison fields: 5 of 86
- Health Information Management 65
- Ophthalmology 89
- Radiology, Nuclear Medicine and Imaging 144
- Neurology 49
- Cognitive Neuroscience 99
Countries citing papers authored by Mohamed Shaban
This map shows the geographic impact of Mohamed Shaban'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 Mohamed Shaban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Shaban more than expected).
Fields of papers citing papers by Mohamed Shaban
This network shows the impact of papers produced by Mohamed Shaban. 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 Mohamed Shaban. The network helps show where Mohamed Shaban may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohamed Shaban, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 18 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 29 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 30 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 14 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 26 | |
| 17 | 2020 | 96 | |
| 18 | 2020 | 33 | |
| 19 | 2003 | 4 | |
| 20 | 2002 | 26 |
About Mohamed Shaban
Mohamed Shaban is a scholar working on Cognitive Neuroscience, Media Technology and Physical Therapy, Sports Therapy and Rehabilitation, having authored 36 papers that have together received 492 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), AI in cancer detection (6 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Retinal Diseases and Treatments (4 papers), Neuroscience and Neural Engineering (4 papers), Remote-Sensing Image Classification (4 papers), Retinal Imaging and Analysis (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Health Information Management (65 citations), Ophthalmology (89 citations) and Radiology, Nuclear Medicine and Imaging (144 citations). Mohamed Shaban has collaborated with scholars based in United States, United Arab Emirates and India. Frequent co-authors include Ayman El‐Baz, Mohammed Ghazal, Onkar Dikshit, Amy W. Amara, Ahmed Shalaby, Ali Mahmoud, Hadil Abu Khalifeh, Harpal S. Sandhu, Andrew E. Switala and Guruprasad A. Giridharan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.
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.