Farhad Maleki
Impact in
- Health Informatics top 2%
- 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
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- Gene expression and cancer classification 6
- Bioinformatics and Genomic Networks 5
- Co-authors
- Katie Ovens (19 shared papers)Reza Forghani (14 shared papers)Caroline Reinhold (8 shared papers)Anthony Kusalik (11 shared papers)Nikesh Muthukrishnan (7 shared papers)Daniel J. Hogan (3 shared papers)Behzad Forghani (3 shared papers)Ian McQuillan (6 shared papers)
- Journals
- Neuroimaging Clinics of North America (6 papers)Scientific Reports (2 papers)Physics in Medicine and Biology (2 papers)International Journal of Hydrogen Energy (2 papers)Bioinformatics (1 paper)
- Partner nations
- CanadaIranUnited States
In The Last Decade
Farhad Maleki
43 papers receiving 830 citations
Peers
Comparison fields: 5 of 148
- Health Informatics 81
- Radiology, Nuclear Medicine and Imaging 142
- Health Information Management 23
- Energy Engineering and Power Technology 16
- Artificial Intelligence 119
Countries citing papers authored by Farhad Maleki
This map shows the geographic impact of Farhad Maleki'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 Farhad Maleki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farhad Maleki more than expected).
Fields of papers citing papers by Farhad Maleki
This network shows the impact of papers produced by Farhad Maleki. 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 Farhad Maleki. The network helps show where Farhad Maleki may publish in the future.
Co-authors
The 25 scholars most cited alongside Farhad Maleki, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 143 | |
| 2 | 2020 | 138 | |
| 3 | 2020 | 95 | |
| 4 | 2022 | 80 | |
| 5 | 2020 | 40 | |
| 6 | 2019 | 37 | |
| 7 | 2008 | 31 | |
| 8 | 2020 | 30 | |
| 9 | 2024 | 29 | |
| 10 | 2020 | 21 | |
| 11 | 2016 | 20 | |
| 12 | 2022 | 16 | |
| 13 | 2021 | 16 | |
| 14 | 2021 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2021 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2025 | 12 | |
| 20 | 2022 | 8 |
About Farhad Maleki
Farhad Maleki is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Artificial Intelligence, Plant Science and Biomedical Engineering, having authored 56 papers that have together received 855 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Smart Agriculture and AI (7 papers), AI in cancer detection (6 papers), Gene expression and cancer classification (6 papers), Bioinformatics and Genomic Networks (5 papers), Advanced X-ray and CT Imaging (4 papers), Artificial Intelligence in Healthcare (3 papers) and Cellular Automata and Applications (3 papers). The work is most often cited by research in Health Informatics (81 citations), Radiology, Nuclear Medicine and Imaging (142 citations), Health Information Management (23 citations), Energy Engineering and Power Technology (16 citations) and Artificial Intelligence (119 citations). Farhad Maleki has collaborated with scholars based in Canada, Iran and United States. Frequent co-authors include Katie Ovens, Reza Forghani, Caroline Reinhold, Anthony Kusalik, Nikesh Muthukrishnan, Daniel J. Hogan, Behzad Forghani, Ian McQuillan, Alan Spatz and Rajiv Gupta. Their work appears in journals such as Neuroimaging Clinics of North America, Scientific Reports, Physics in Medicine and Biology, International Journal of Hydrogen Energy and Bioinformatics.
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.