Felipe Morgado
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 10%
- Clinical Reasoning and Diagnostic Skills
Papers in
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- Artificial Intelligence in Healthcare and Education 5
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- Atomic and Subatomic Physics Research 3
- Co-authors
- Vinyas Harish (5 shared papers)Sunit Das (3 shared papers)Liam G. McCoy (2 shared papers)Sujay Nagaraj (2 shared papers)Leo Anthony Celi (1 shared paper)Giles Santyr (3 shared papers)Marcus J. Couch (3 shared papers)Jonathan H. Rayment (2 shared papers)
- Journals
- Magnetic Resonance in Medicine (2 papers)Frontiers in Pediatrics (1 paper)npj Digital Medicine (1 paper)Academic Radiology (1 paper)Translational Psychiatry (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Felipe Morgado
9 papers receiving 276 citations
Peers
Comparison fields: 5 of 67
- Health Informatics 165
- Family Practice 33
- Radiology, Nuclear Medicine and Imaging 97
- Health Information Management 18
- General Dentistry 4
Countries citing papers authored by Felipe Morgado
This map shows the geographic impact of Felipe Morgado'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 Felipe Morgado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felipe Morgado more than expected).
Fields of papers citing papers by Felipe Morgado
This network shows the impact of papers produced by Felipe Morgado. 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 Felipe Morgado. The network helps show where Felipe Morgado may publish in the future.
Co-authors
The 25 scholars most cited alongside Felipe Morgado, 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 | 2020 | 133 | |
| 2 | 2018 | 45 | |
| 3 | 2021 | 41 | |
| 4 | 2020 | 35 | |
| 5 | 2019 | 16 | |
| 6 | 2020 | 6 | |
| 7 | 2018 | 6 | |
| 8 | 2022 | 3 | |
| 9 | 2024 | 2 |
About Felipe Morgado
Felipe Morgado is a scholar working on Health Informatics, Atomic and Molecular Physics, and Optics, Family Practice, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 9 papers that have together received 287 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (5 papers), Atomic and Subatomic Physics Research (3 papers), Clinical Reasoning and Diagnostic Skills (2 papers), Neonatal Respiratory Health Research (2 papers), Machine Learning in Healthcare (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Cystic Fibrosis Research Advances (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (165 citations), Family Practice (33 citations), Radiology, Nuclear Medicine and Imaging (97 citations), Health Information Management (18 citations) and General Dentistry (4 citations). Felipe Morgado has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Vinyas Harish, Sunit Das, Liam G. McCoy, Sujay Nagaraj, Leo Anthony Celi, Giles Santyr, Marcus J. Couch, Jonathan H. Rayment, Félix Ratjen and Nikhil Kanhere. Their work appears in journals such as Magnetic Resonance in Medicine, Frontiers in Pediatrics, npj Digital Medicine, Academic Radiology and Translational Psychiatry.
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.