Daniel Welfer
Impact in
- Ophthalmology top 1%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
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- Retinal Imaging and Analysis
Papers in
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- Retinal Imaging and Analysis 19
- COVID-19 diagnosis using AI 3
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- Digital Imaging for Blood Diseases 7
- Co-authors
- Jacob Scharcanski (5 shared papers)Diane Ruschel Marinho (5 shared papers)Daniel Fernando Tello Gamarra (4 shared papers)Marco Antônio de Souza Leite Cuadros (2 shared papers)Marílton Sanchotene de Aguiar (10 shared papers)Marcelo Lima Ribeiro (4 shared papers)Maurício Sperandio (1 shared paper)Marcelo Fernandes Pacheco Dias (2 shared papers)
- Journals
- Sensors (2 papers)Computer Methods and Programs in Biomedicine (1 paper)Computerized Medical Imaging and Graphics (1 paper)IEEE Access (1 paper)Applied Artificial Intelligence (1 paper)
- Partner nations
- BrazilUnited StatesAustralia
In The Last Decade
Daniel Welfer
31 papers receiving 599 citations
Peers
Comparison fields: 5 of 72
- Ophthalmology 377
- Radiology, Nuclear Medicine and Imaging 487
- Computer Vision and Pattern Recognition 347
- Health Information Management 36
- Neurology 20
Countries citing papers authored by Daniel Welfer
This map shows the geographic impact of Daniel Welfer'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 Welfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Welfer more than expected).
Fields of papers citing papers by Daniel Welfer
This network shows the impact of papers produced by Daniel Welfer. 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 Welfer. The network helps show where Daniel Welfer may publish in the future.
Co-authors
The 12 scholars most cited alongside Daniel Welfer, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 132 | |
| 2 | 2009 | 125 | |
| 3 | 2010 | 65 | |
| 4 | 2012 | 59 | |
| 5 | 2019 | 54 | |
| 6 | 2013 | 51 | |
| 7 | 2017 | 47 | |
| 8 | 2022 | 45 | |
| 9 | 2017 | 16 | |
| 10 | 2019 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 2021 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2010 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2016 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2024 | 1 |
About Daniel Welfer
Daniel Welfer is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Ophthalmology, Artificial Intelligence and Health Information Management, having authored 37 papers that have together received 643 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (19 papers), Digital Imaging for Blood Diseases (7 papers), Glaucoma and retinal disorders (7 papers), Retinal Diseases and Treatments (6 papers), Artificial Intelligence in Healthcare (4 papers), Mobile Health and mHealth Applications (3 papers), COVID-19 diagnosis using AI (3 papers) and Academic Research in Diverse Fields (2 papers). The work is most often cited by research in Ophthalmology (377 citations), Radiology, Nuclear Medicine and Imaging (487 citations), Computer Vision and Pattern Recognition (347 citations), Health Information Management (36 citations) and Neurology (20 citations). Daniel Welfer has collaborated with scholars based in Brazil, United States and Australia. Frequent co-authors include Jacob Scharcanski, Diane Ruschel Marinho, Daniel Fernando Tello Gamarra, Marco Antônio de Souza Leite Cuadros, Marílton Sanchotene de Aguiar, Marcelo Lima Ribeiro, Maurício Sperandio, Marcelo Fernandes Pacheco Dias, Marcelo Silva and Diego Kreutz. Their work appears in journals such as Sensors, Computer Methods and Programs in Biomedicine, Computerized Medical Imaging and Graphics, IEEE Access and Applied Artificial Intelligence.
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.