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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- Artificial Intelligence in Healthcare and Education 7
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- Radiology practices and education 13
- COVID-19 diagnosis using AI 8
- Radiomics and Machine Learning in Medical Imaging 7
- 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)Charles S. White (4 shared papers)Satvik Tripathi (5 shared papers)
- Journals
- Journal of the American College of Radiology (15 papers)Radiology (3 papers)Journal of Thoracic Imaging (2 papers)Radiographics (2 papers)Genes and Environment (1 paper)
- Partner nations
- United StatesNigeriaBrazil
In The Last Decade
Farouk Dako
49 papers receiving 483 citations
Peers
Comparison fields: 5 of 88
- Health Informatics 119
- Radiology, Nuclear Medicine and Imaging 234
- Critical Care and Intensive Care Medicine 22
- Microbiology 3
- Pulmonary and Respiratory Medicine 125
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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 112 | |
| 2 | 2021 | 40 | |
| 3 | 2023 | 36 | |
| 4 | 2023 | 27 | |
| 5 | 2020 | 24 | |
| 6 | 2021 | 24 | |
| 7 | 2020 | 24 | |
| 8 | 2023 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2017 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2018 | 8 | |
| 20 | 2019 | 7 |
About Farouk Dako
Farouk Dako is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Otorhinolaryngology, having authored 54 papers that have together received 492 indexed citations. Recurring topics across this work include Radiology practices and education (13 papers), Lung Cancer Diagnosis and Treatment (9 papers), COVID-19 diagnosis using AI (8 papers), Artificial Intelligence in Healthcare and Education (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Global Health and Surgery (6 papers), Global Cancer Incidence and Screening (5 papers) and Innovations in Medical Education (4 papers). The work is most often cited by research in Health Informatics (119 citations), Radiology, Nuclear Medicine and Imaging (234 citations), Critical Care and Intensive Care Medicine (22 citations), Microbiology (3 citations) and Pulmonary and Respiratory Medicine (125 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, Charles S. White, Satvik Tripathi, Omer A. Awan and Rydhwana Hossain. Their work appears in journals such as Journal of the American College of Radiology, Radiology, Journal of Thoracic Imaging, Radiographics and Genes and Environment.
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.