Sadegh Riyahi
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Radiomics and Machine Learning in Medical Imaging 8
- MRI in cancer diagnosis 3
- Medical Imaging Techniques and Applications 3
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- Lung Cancer Diagnosis and Treatment 4
- Co-authors
- Joseph O. Deasy (5 shared papers)Wei Lü (8 shared papers)Wookjin Choi (8 shared papers)Chia‐Ju Liu (4 shared papers)James Mechalakos (4 shared papers)Andreas Rimner (2 shared papers)Neelam Tyagi (2 shared papers)Jue Jiang (2 shared papers)
- Journals
- Medical Physics (5 papers)Physics in Medicine and Biology (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)Lecture notes in computer science (2 papers)Neurochirurgie (1 paper)
- Partner nations
- United StatesMoroccoChina
In The Last Decade
Sadegh Riyahi
11 papers receiving 286 citations
Peers
Comparison fields: 5 of 34
- Radiology, Nuclear Medicine and Imaging 171
- Health Informatics 11
- Radiation 63
- Pulmonary and Respiratory Medicine 91
- Otorhinolaryngology 7
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 | 116 | |
| 2 | 2019 | 73 | |
| 3 | 2019 | 37 | |
| 4 | 2018 | 31 | |
| 5 | 2018 | 15 | |
| 6 | 2018 | 9 | |
| 7 | 2018 | 3 | |
| 8 | 2008 | 2 | |
| 9 | 2017 | 2 | |
| 10 | 2016 | 1 | |
| 11 | 2016 | 1 |
About Sadegh Riyahi
Sadegh Riyahi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Oncology and Radiation, having authored 11 papers that have together received 290 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Lung Cancer Diagnosis and Treatment (4 papers), MRI in cancer diagnosis (3 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 Medical Imaging and Analysis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (171 citations), Health Informatics (11 citations), Radiation (63 citations), Pulmonary and Respiratory Medicine (91 citations) and Otorhinolaryngology (7 citations). Sadegh Riyahi has collaborated with scholars based in United States, Morocco and China. Frequent co-authors include Joseph O. Deasy, Wei Lü, Wookjin Choi, Chia‐Ju Liu, James Mechalakos, Andreas Rimner, Neelam Tyagi, Jue Jiang, Wengen Chen and Jung Hun Oh. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, International Journal of Radiation Oncology*Biology*Physics, Lecture notes in computer science and Neurochirurgie.
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.