Sami Tabbarah
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
- Medical Imaging Techniques and Applications 3
- Infrared Thermography in Medicine 2
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- AI in cancer detection 4
- Co-authors
- Andrew Lagree (7 shared papers)William T. Tran (8 shared papers)Ali Sadeghi‐Naini (6 shared papers)Tina Wu (4 shared papers)Katarzyna J. Jerzak (2 shared papers)Fang‐I Lu (3 shared papers)Jonathan Klein (2 shared papers)Iván M. Rosado-Méndez (1 shared paper)
- Journals
- Scientific Reports (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)JCO Clinical Cancer Informatics (1 paper)Breast Disease (1 paper)Breast Cancer Research and Treatment (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Sami Tabbarah
9 papers receiving 186 citations
Peers
Comparison fields: 5 of 53
- Health Informatics 22
- Radiology, Nuclear Medicine and Imaging 142
- Artificial Intelligence 100
- Cancer Research 44
- Otorhinolaryngology 12
Countries citing papers authored by Sami Tabbarah
This map shows the geographic impact of Sami Tabbarah'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 Sami Tabbarah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sami Tabbarah more than expected).
Fields of papers citing papers by Sami Tabbarah
This network shows the impact of papers produced by Sami Tabbarah. 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 Sami Tabbarah. The network helps show where Sami Tabbarah may publish in the future.
Co-authors
The 25 scholars most cited alongside Sami Tabbarah, 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 | 60 | |
| 2 | 2021 | 31 | |
| 3 | 2020 | 28 | |
| 4 | 2021 | 26 | |
| 5 | 2023 | 19 | |
| 6 | 2019 | 18 | |
| 7 | 2019 | 4 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 2 |
About Sami Tabbarah
Sami Tabbarah is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Oncology, Cancer Research and Biophysics, having authored 9 papers that have together received 190 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (4 papers), Medical Imaging Techniques and Applications (3 papers), Breast Cancer Treatment Studies (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers), Cutaneous Melanoma Detection and Management (2 papers), Infrared Thermography in Medicine (2 papers) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Health Informatics (22 citations), Radiology, Nuclear Medicine and Imaging (142 citations), Artificial Intelligence (100 citations), Cancer Research (44 citations) and Otorhinolaryngology (12 citations). Sami Tabbarah has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Andrew Lagree, William T. Tran, Ali Sadeghi‐Naini, Tina Wu, Katarzyna J. Jerzak, Fang‐I Lu, Jonathan Klein, Iván M. Rosado-Méndez, Fang-I Lu and David W. Dodington. Their work appears in journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics, JCO Clinical Cancer Informatics, Breast Disease and Breast Cancer Research and Treatment.
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.