Mohemmed Sha
Impact in
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- Artificial Intelligence in Healthcare
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- Brain Tumor Detection and Classification
Papers in
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- Internet Traffic Analysis and Secure E-voting 4
- AI in cancer detection 3
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- IoT and Edge/Fog Computing 4
- Network Security and Intrusion Detection 4
- Co-authors
- Shtwai Alsubai (26 shared papers)Abdullah Alqahtani (25 shared papers)Sidra Abbas (6 shared papers)Adel Binbusayyis (9 shared papers)Habib Ullah Khan (2 shared papers)Talha Javed (1 shared paper)Abdu Gumaei (8 shared papers)Ahmad Almadhor (4 shared papers)
- Journals
- Computational Intelligence and Neuroscience (3 papers)Mobile Networks and Applications (2 papers)Neural Networks (2 papers)Scientific Reports (1 paper)Biomolecules (1 paper)
- Partner nations
- Saudi ArabiaUnited KingdomPakistan
In The Last Decade
Mohemmed Sha
38 papers receiving 300 citations
Peers
Comparison fields: 5 of 83
- Health Information Management 67
- Neurology 56
- Health Informatics 9
- Artificial Intelligence 137
- Computer Vision and Pattern Recognition 58
Countries citing papers authored by Mohemmed Sha
This map shows the geographic impact of Mohemmed Sha'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 Mohemmed Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohemmed Sha more than expected).
Fields of papers citing papers by Mohemmed Sha
This network shows the impact of papers produced by Mohemmed Sha. 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 Mohemmed Sha. The network helps show where Mohemmed Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohemmed Sha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 59 | |
| 2 | 2022 | 54 | |
| 3 | 2023 | 29 | |
| 4 | 2023 | 16 | |
| 5 | 2023 | 13 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2025 | 4 |
About Mohemmed Sha
Mohemmed Sha is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Cognitive Neuroscience, having authored 45 papers that have together received 319 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (4 papers), Artificial Intelligence in Healthcare (4 papers), Network Security and Intrusion Detection (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Digital and Cyber Forensics (3 papers), Gait Recognition and Analysis (3 papers), Autism Spectrum Disorder Research (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Information Management (67 citations), Neurology (56 citations), Health Informatics (9 citations), Artificial Intelligence (137 citations) and Computer Vision and Pattern Recognition (58 citations). Mohemmed Sha has collaborated with scholars based in Saudi Arabia, United Kingdom and Pakistan. Frequent co-authors include Shtwai Alsubai, Abdullah Alqahtani, Sidra Abbas, Adel Binbusayyis, Habib Ullah Khan, Talha Javed, Abdu Gumaei, Ahmad Almadhor, Shuihua Wang and Michal Greguš. Their work appears in journals such as Computational Intelligence and Neuroscience, Mobile Networks and Applications, Neural Networks, Scientific Reports and Biomolecules.
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.