Jaber Alyami
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
- Radiology practices and education 5
- Ultrasound Imaging and Elastography 4
- COVID-19 diagnosis using AI 3
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- AI in cancer detection 8
- Co-authors
- Mahmoud Ragab (5 shared papers)Romany F. Mansour (1 shared paper)Ashwag Albukhari (1 shared paper)Amjad Rehman (7 shared papers)Luca Marciani (8 shared papers)Robert E. Spiller (6 shared papers)Saeed Ali Bahaj (5 shared papers)Tanzila Saba (4 shared papers)
- Journals
- Microscopy Research and Technique (4 papers)Applied Sciences (2 papers)Neurogastroenterology & Motility (2 papers)Magnetic Resonance Materials in Physics Biology and Medicine (1 paper)Scientific Reports (1 paper)
- Partner nations
- Saudi ArabiaUnited KingdomPakistan
In The Last Decade
Jaber Alyami
36 papers receiving 380 citations
Peers
Comparison fields: 5 of 84
- Neurology 86
- Radiology, Nuclear Medicine and Imaging 161
- Health Informatics 8
- Artificial Intelligence 160
- Gastroenterology 27
Countries citing papers authored by Jaber Alyami
This map shows the geographic impact of Jaber Alyami'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 Jaber Alyami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaber Alyami more than expected).
Fields of papers citing papers by Jaber Alyami
This network shows the impact of papers produced by Jaber Alyami. 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 Jaber Alyami. The network helps show where Jaber Alyami may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaber Alyami, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 112 | |
| 2 | 2023 | 36 | |
| 3 | 2019 | 25 | |
| 4 | 2022 | 24 | |
| 5 | 2017 | 22 | |
| 6 | 2015 | 19 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 5 |
About Jaber Alyami
Jaber Alyami is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Neurology, Computer Vision and Pattern Recognition and Surgery, having authored 38 papers that have together received 390 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (9 papers), AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Radiology practices and education (5 papers), Ultrasound Imaging and Elastography (4 papers), Gastrointestinal motility and disorders (4 papers), Digital Imaging for Blood Diseases (4 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Neurology (86 citations), Radiology, Nuclear Medicine and Imaging (161 citations), Health Informatics (8 citations), Artificial Intelligence (160 citations) and Gastroenterology (27 citations). Jaber Alyami has collaborated with scholars based in Saudi Arabia, United Kingdom and Pakistan. Frequent co-authors include Mahmoud Ragab, Romany F. Mansour, Ashwag Albukhari, Amjad Rehman, Luca Marciani, Robert E. Spiller, Saeed Ali Bahaj, Tanzila Saba, Shahzad Akbar and Penny Gowland. Their work appears in journals such as Microscopy Research and Technique, Applied Sciences, Neurogastroenterology & Motility, Magnetic Resonance Materials in Physics Biology and Medicine and Scientific Reports.
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.