Daniel Ferraz
Impact in
- Ophthalmology top 1%
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Glaucoma and retinal disorders
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Retinal Diseases and Treatments 18
- Retinal and Optic Conditions 10
- Ocular Diseases and Behçet’s Syndrome 3
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- Retinal Imaging and Analysis 15
- COVID-19 diagnosis using AI 3
- Co-authors
- Edward Korot (9 shared papers)Pearse A. Keane (10 shared papers)Hagar Khalid (9 shared papers)Siegfried K. Wagner (8 shared papers)Livia Faes (6 shared papers)Xiaoxuan Liu (3 shared papers)Alastair K. Denniston (2 shared papers)Dun Jack Fu (4 shared papers)
- Journals
- Investigative Ophthalmology & Visual Science (7 papers)International Journal of Retina and Vitreous (3 papers)Eye (3 papers)Journal of Ophthalmic Inflammation and Infection (2 papers)Diabetes Research and Clinical Practice (1 paper)
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Daniel Ferraz
38 papers receiving 700 citations
Peers
Comparison fields: 5 of 85
- Ophthalmology 340
- Health Informatics 34
- Radiology, Nuclear Medicine and Imaging 330
- Health Information Management 25
- Neurology 31
Countries citing papers authored by Daniel Ferraz
This map shows the geographic impact of Daniel Ferraz'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 Daniel Ferraz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ferraz more than expected).
Fields of papers citing papers by Daniel Ferraz
This network shows the impact of papers produced by Daniel Ferraz. 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 Daniel Ferraz. The network helps show where Daniel Ferraz may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ferraz, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 171 | |
| 2 | 2021 | 130 | |
| 3 | 2020 | 101 | |
| 4 | 2021 | 51 | |
| 5 | 2014 | 35 | |
| 6 | 2014 | 35 | |
| 7 | 2013 | 33 | |
| 8 | 2013 | 24 | |
| 9 | 2014 | 14 | |
| 10 | 2014 | 14 | |
| 11 | 2023 | 13 | |
| 12 | 2024 | 12 | |
| 13 | 2017 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2010 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2021 | 4 |
About Daniel Ferraz
Daniel Ferraz is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Health Informatics, Molecular Biology and Genetics, having authored 43 papers that have together received 716 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (18 papers), Retinal Imaging and Analysis (15 papers), Retinal and Optic Conditions (10 papers), Artificial Intelligence in Healthcare and Education (5 papers), Retinal Development and Disorders (3 papers), Ocular Diseases and Behçet’s Syndrome (3 papers), COVID-19 diagnosis using AI (3 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Ophthalmology (340 citations), Health Informatics (34 citations), Radiology, Nuclear Medicine and Imaging (330 citations), Health Information Management (25 citations) and Neurology (31 citations). Daniel Ferraz has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Edward Korot, Pearse A. Keane, Hagar Khalid, Siegfried K. Wagner, Livia Faes, Xiaoxuan Liu, Alastair K. Denniston, Dun Jack Fu, Christopher Kelly and Quan Dong Nguyen. Their work appears in journals such as Investigative Ophthalmology & Visual Science, International Journal of Retina and Vitreous, Eye, Journal of Ophthalmic Inflammation and Infection and Diabetes Research and Clinical Practice.
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.