Keyvan Farahani
Impact in
- Neurology top 0.5%
- Brain Tumor Detection and Classification
-
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
Papers in
-
- Advanced MRI Techniques and Applications 26
- Radiomics and Machine Learning in Medical Imaging 24
- Medical Imaging Techniques and Applications 17
- MRI in cancer diagnosis 10
- Radiation 17
- Advanced Radiotherapy Techniques 10
- Co-authors
- Justin KirbyHamed AkbariJohn FreymannChristos DavatzikosMartin RozyckiAristeidis SotirasSpyridon BakasMichel Bilello
- Journals
- Medical Physics (8 papers)Journal of Magnetic Resonance Imaging (6 papers)Neurosurgery (5 papers)Scientific Data (3 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Keyvan Farahani
83 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Neurology 978
- Radiology, Nuclear Medicine and Imaging 2.5k
- Health Informatics 87
- Computer Vision and Pattern Recognition 1.0k
- Radiation 414
Countries citing papers authored by Keyvan Farahani
This map shows the geographic impact of Keyvan Farahani'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 Keyvan Farahani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keyvan Farahani more than expected).
Fields of papers citing papers by Keyvan Farahani
This network shows the impact of papers produced by Keyvan Farahani. 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 Keyvan Farahani. The network helps show where Keyvan Farahani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keyvan Farahani, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 13 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 20 | |
| 8 | 2021 | 36 | |
| 9 | 2021 | 29 | |
| 10 | 2020 | 39 | |
| 11 | Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features Hit paper breakdown → | 2017 | 1476 |
| 12 | 2015 | 4 | |
| 13 | 2014 | 64 | |
| 14 | 2005 | 221 | |
| 15 | 1999 | 1 | |
| 16 | 1999 | 21 | |
| 17 | 1999 | 43 | |
| 18 | 1996 | 6 | |
| 19 | 1995 | 41 | |
| 20 | 1991 | 49 |
About Keyvan Farahani
Keyvan Farahani is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Health Informatics, Structural Biology and Biomedical Engineering, having authored 87 papers that have together received 4.7k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (26 papers), Radiomics and Machine Learning in Medical Imaging (24 papers), Ultrasound and Hyperthermia Applications (19 papers), Medical Imaging Techniques and Applications (17 papers), Photoacoustic and Ultrasonic Imaging (13 papers), MRI in cancer diagnosis (10 papers), Advanced Radiotherapy Techniques (10 papers) and AI in cancer detection (10 papers). The work is most often cited by research in Neurology (978 citations), Radiology, Nuclear Medicine and Imaging (2.5k citations), Health Informatics (87 citations), Computer Vision and Pattern Recognition (1.0k citations) and Radiation (414 citations). Keyvan Farahani has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Justin Kirby, Hamed Akbari, John Freymann, Christos Davatzikos, Martin Rozycki, Aristeidis Sotiras, Spyridon Bakas, Michel Bilello, Robert B. Lufkin and Yiping Shao. Their work appears in journals such as Medical Physics, Journal of Magnetic Resonance Imaging, Neurosurgery, Scientific Data and Scientific Reports.
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.