Farouk Dako
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
- Radiology practices and education
- Radiation Dose and Imaging
Papers in
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- Radiology practices and education 12
- COVID-19 diagnosis using AI 7
- Radiomics and Machine Learning in Medical Imaging 5
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- Lung Cancer Diagnosis and Treatment 11
- Co-authors
- Ameena Elahi (7 shared papers)Daniel J. Mollura (6 shared papers)John R. Scheel (4 shared papers)Victoria L. Mango (3 shared papers)Erica Pollack (3 shared papers)Melissa P. Culp (1 shared paper)Satvik Tripathi (5 shared papers)Charles S. White (4 shared papers)
- Journals
- Journal of the American College of Radiology (15 papers)Radiology (3 papers)Radiographics (3 papers)The Lancet Oncology (2 papers)Journal of Thoracic Imaging (2 papers)
- Partner nations
- United StatesNigeriaBrazil
In The Last Decade
Farouk Dako
53 papers receiving 582 citations
Peers
Comparison fields: 5 of 81
- Health Informatics 127
- Radiology, Nuclear Medicine and Imaging 191
- Critical Care and Intensive Care Medicine 17
- Health Information Management 17
- Pulmonary and Respiratory Medicine 105
Countries citing papers authored by Farouk Dako
This map shows the geographic impact of Farouk Dako'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 Farouk Dako with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farouk Dako more than expected).
Fields of papers citing papers by Farouk Dako
This network shows the impact of papers produced by Farouk Dako. 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 Farouk Dako. The network helps show where Farouk Dako may publish in the future.
Co-authors
The 25 scholars most cited alongside Farouk Dako, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 139 | |
| 2 | 2023 | 46 | |
| 3 | 2021 | 42 | |
| 4 | 2023 | 38 | |
| 5 | 2020 | 25 | |
| 6 | 2021 | 25 | |
| 7 | 2020 | 24 | |
| 8 | 2012 | 19 | |
| 9 | 2023 | 13 | |
| 10 | 2020 | 11 | |
| 11 | 2021 | 11 | |
| 12 | 2017 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2024 | 9 | |
| 17 | 2023 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2018 | 8 |
About Farouk Dako
Farouk Dako is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, General Health Professions and Surgery, having authored 59 papers that have together received 590 indexed citations. Recurring topics across this work include Radiology practices and education (12 papers), Lung Cancer Diagnosis and Treatment (11 papers), Global Health and Surgery (8 papers), COVID-19 diagnosis using AI (7 papers), Artificial Intelligence in Healthcare and Education (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Global Health Workforce Issues (3 papers) and Patient Satisfaction in Healthcare (3 papers). The work is most often cited by research in Health Informatics (127 citations), Radiology, Nuclear Medicine and Imaging (191 citations), Critical Care and Intensive Care Medicine (17 citations), Health Information Management (17 citations) and Pulmonary and Respiratory Medicine (105 citations). Farouk Dako has collaborated with scholars based in United States, Nigeria and Brazil. Frequent co-authors include Ameena Elahi, Daniel J. Mollura, John R. Scheel, Victoria L. Mango, Erica Pollack, Melissa P. Culp, Satvik Tripathi, Charles S. White, Rydhwana Hossain and Omer A. Awan. Their work appears in journals such as Journal of the American College of Radiology, Radiology, Radiographics, The Lancet Oncology and Journal of Thoracic Imaging.
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.