Mana Moassefi
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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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 12
- Radiation Dose and Imaging 2
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- Artificial Intelligence in Healthcare and Education 8
- Co-authors
- Shahriar Faghani (22 shared papers)Bradley J. Erickson (20 shared papers)Bardia Khosravi (15 shared papers)Pouria Rouzrokh (15 shared papers)Yashbir Singh (4 shared papers)Gian Marco Conte (7 shared papers)Diana V. Vera-Garcia (2 shared papers)Jaidip Jagtap (2 shared papers)
- Journals
- Radiology Artificial Intelligence (3 papers)Journal of Digital Imaging (2 papers)Neuro-Oncology (1 paper)Gastrointestinal Endoscopy (1 paper)Journal of Neuro-Oncology (1 paper)
- Partner nations
- United StatesIranBrazil
In The Last Decade
Mana Moassefi
21 papers receiving 398 citations
Peers
Comparison fields: 5 of 73
- Health Informatics 131
- Radiology, Nuclear Medicine and Imaging 179
- Family Practice 6
- Neurology 26
- Genetics 30
Countries citing papers authored by Mana Moassefi
This map shows the geographic impact of Mana Moassefi'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 Mana Moassefi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mana Moassefi more than expected).
Fields of papers citing papers by Mana Moassefi
This network shows the impact of papers produced by Mana Moassefi. 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 Mana Moassefi. The network helps show where Mana Moassefi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mana Moassefi, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 86 | |
| 2 | 2022 | 66 | |
| 3 | 2022 | 61 | |
| 4 | 2022 | 33 | |
| 5 | 2022 | 28 | |
| 6 | 2023 | 26 | |
| 7 | 2022 | 25 | |
| 8 | 2023 | 18 | |
| 9 | 2023 | 15 | |
| 10 | 2024 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2025 | 5 | |
| 14 | 2024 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2022 | 1 |
About Mana Moassefi
Mana Moassefi is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Biomedical Engineering, Artificial Intelligence and Genetics, having authored 24 papers that have together received 401 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Artificial Intelligence in Healthcare and Education (8 papers), Advanced X-ray and CT Imaging (3 papers), Glioma Diagnosis and Treatment (3 papers), AI in cancer detection (3 papers), Brain Tumor Detection and Classification (2 papers), Radiation Dose and Imaging (2 papers) and Medical Imaging and Analysis (2 papers). The work is most often cited by research in Health Informatics (131 citations), Radiology, Nuclear Medicine and Imaging (179 citations), Family Practice (6 citations), Neurology (26 citations) and Genetics (30 citations). Mana Moassefi has collaborated with scholars based in United States, Iran and Brazil. Frequent co-authors include Shahriar Faghani, Bradley J. Erickson, Bardia Khosravi, Pouria Rouzrokh, Yashbir Singh, Gian Marco Conte, Diana V. Vera-Garcia, Jaidip Jagtap, Seyed Moein Rassoulinejad-Mousavi and Fred Nugen. Their work appears in journals such as Radiology Artificial Intelligence, Journal of Digital Imaging, Neuro-Oncology, Gastrointestinal Endoscopy and Journal of Neuro-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.