Sadegh Riyahi
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- COVID-19 diagnosis using AI
Papers in
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- Radiomics and Machine Learning in Medical Imaging 8
- MRI in cancer diagnosis 4
- Medical Imaging Techniques and Applications 3
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- Lung Cancer Diagnosis and Treatment 5
- Co-authors
- Joseph O. Deasy (3 shared papers)Wei Lü (6 shared papers)Wookjin Choi (6 shared papers)James Mechalakos (3 shared papers)Chia‐Ju Liu (3 shared papers)Andreas Rimner (2 shared papers)Jue Jiang (2 shared papers)Neelam Tyagi (2 shared papers)
- Journals
- Medical Physics (5 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)Physics in Medicine and Biology (1 paper)Neurochirurgie (1 paper)International Journal of Medical Physics Clinical Engineering and Radiation Oncology (1 paper)
- Partner nations
- United StatesMorocco
In The Last Decade
Sadegh Riyahi
9 papers receiving 252 citations
Peers
Comparison fields: 5 of 35
- Radiology, Nuclear Medicine and Imaging 217
- Health Informatics 11
- Radiation 62
- Pulmonary and Respiratory Medicine 119
- Otorhinolaryngology 9
Countries citing papers authored by Sadegh Riyahi
This map shows the geographic impact of Sadegh Riyahi'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 Sadegh Riyahi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sadegh Riyahi more than expected).
Fields of papers citing papers by Sadegh Riyahi
This network shows the impact of papers produced by Sadegh Riyahi. 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 Sadegh Riyahi. The network helps show where Sadegh Riyahi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sadegh Riyahi, 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 | 2018 | 108 | |
| 2 | 2019 | 68 | |
| 3 | 2019 | 37 | |
| 4 | 2018 | 29 | |
| 5 | 2018 | 9 | |
| 6 | 2017 | 2 | |
| 7 | 2008 | 2 | |
| 8 | 2016 | 1 | |
| 9 | 2016 | 1 |
About Sadegh Riyahi
Sadegh Riyahi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Surgery and Radiation, having authored 9 papers that have together received 257 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Lung Cancer Diagnosis and Treatment (5 papers), MRI in cancer diagnosis (4 papers), Medical Imaging Techniques and Applications (3 papers), Advanced X-ray and CT Imaging (2 papers), Advanced Radiotherapy Techniques (1 paper), Bacterial Infections and Vaccines (1 paper) and Infective Endocarditis Diagnosis and Management (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (217 citations), Health Informatics (11 citations), Radiation (62 citations), Pulmonary and Respiratory Medicine (119 citations) and Otorhinolaryngology (9 citations). Sadegh Riyahi has collaborated with scholars based in United States and Morocco. Frequent co-authors include Joseph O. Deasy, Wei Lü, Wookjin Choi, James Mechalakos, Chia‐Ju Liu, Andreas Rimner, Jue Jiang, Neelam Tyagi, Charles S. White and Wengen Chen. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology, Neurochirurgie and International Journal of Medical Physics Clinical Engineering and Radiation Oncology.
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.