Parisa Kaviani
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Radiology practices and education
- Radiation Dose and Imaging
Papers in
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- COVID-19 diagnosis using AI 7
- Radiomics and Machine Learning in Medical Imaging 5
- Radiation Dose and Imaging 5
- Radiology practices and education 3
- Medical Imaging Techniques and Applications 2
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- Lung Cancer Diagnosis and Treatment 3
- Co-authors
- Mannudeep K. Kalra (16 shared papers)Keith J. Dreyer (11 shared papers)Bernardo C. Bizzo (10 shared papers)Shadi Ebrahimian (6 shared papers)Subba R. Digumarthy (9 shared papers)Benjamin F. Miller (1 shared paper)Andrew N. Primak (2 shared papers)Jong Seok Ahn (1 shared paper)
- Journals
- Academic Radiology (4 papers)Nature Communications (1 paper)Parkinsonism & Related Disorders (1 paper)British Journal of Radiology (1 paper)Clinical Radiology (1 paper)
- Partner nations
- United StatesIranBrazil
In The Last Decade
Parisa Kaviani
20 papers receiving 197 citations
Peers
Comparison fields: 5 of 54
- Health Informatics 49
- Radiology, Nuclear Medicine and Imaging 84
- Family Practice 3
- Pulmonary and Respiratory Medicine 42
- Critical Care and Intensive Care Medicine 5
Countries citing papers authored by Parisa Kaviani
This map shows the geographic impact of Parisa Kaviani'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 Parisa Kaviani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parisa Kaviani more than expected).
Fields of papers citing papers by Parisa Kaviani
This network shows the impact of papers produced by Parisa Kaviani. 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 Parisa Kaviani. The network helps show where Parisa Kaviani may publish in the future.
Co-authors
The 25 scholars most cited alongside Parisa Kaviani, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 69 | |
| 2 | 2024 | 18 | |
| 3 | 2021 | 17 | |
| 4 | 2018 | 17 | |
| 5 | 2022 | 15 | |
| 6 | 2022 | 13 | |
| 7 | 2025 | 12 | |
| 8 | 2022 | 8 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 5 | |
| 11 | 2025 | 5 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 1 |
About Parisa Kaviani
Parisa Kaviani is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Health Informatics and Surgery, having authored 22 papers that have together received 204 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Radiation Dose and Imaging (5 papers), Advanced X-ray and CT Imaging (4 papers), Radiology practices and education (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (49 citations), Radiology, Nuclear Medicine and Imaging (84 citations), Family Practice (3 citations), Pulmonary and Respiratory Medicine (42 citations) and Critical Care and Intensive Care Medicine (5 citations). Parisa Kaviani has collaborated with scholars based in United States, Iran and Brazil. Frequent co-authors include Mannudeep K. Kalra, Keith J. Dreyer, Bernardo C. Bizzo, Shadi Ebrahimian, Subba R. Digumarthy, Benjamin F. Miller, Andrew N. Primak, Jong Seok Ahn, Shaunagh McDermott and Sang Hyup Lee. Their work appears in journals such as Academic Radiology, Nature Communications, Parkinsonism & Related Disorders, British Journal of Radiology and Clinical Radiology.
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.