Scott Barb
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Ophthalmology top 5%
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Ocular Infections and Treatments
Papers in
-
- Glaucoma and retinal disorders 3
- Retinal Diseases and Treatments 2
- Ocular Infections and Treatments 2
-
- Functional Brain Connectivity Studies 2
- Autism Spectrum Disorder Research 1
- Co-authors
- Rory Sayres (1 shared paper)Arjun B. Sood (1 shared paper)Katy Blumer (1 shared paper)Lily Peng (1 shared paper)Ankur Taly (1 shared paper)Ehsan Rahimy (1 shared paper)Arunachalam Narayanaswamy (1 shared paper)Anthony Joseph (1 shared paper)
- Journals
- PLoS ONE (2 papers)Retina (1 paper)Ophthalmology Retina (1 paper)Journal of Pediatric Ophthalmology & Strabismus (1 paper)Journal of Affective Disorders (1 paper)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Scott Barb
16 papers receiving 451 citations
Scott Barb's Hit Papers
Peers
Comparison fields: 5 of 93
- Health Informatics 41
- Ophthalmology 129
- Radiology, Nuclear Medicine and Imaging 175
- Health Information Management 31
- Cognitive Neuroscience 81
Countries citing papers authored by Scott Barb
This map shows the geographic impact of Scott Barb'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 Scott Barb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Barb more than expected).
Fields of papers citing papers by Scott Barb
This network shows the impact of papers produced by Scott Barb. 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 Scott Barb. The network helps show where Scott Barb may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Barb, 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 | Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy Hit paper breakdown → | 2018 | 280 |
| 2 | 2018 | 31 | |
| 3 | 2016 | 28 | |
| 4 | 2009 | 24 | |
| 5 | 2018 | 22 | |
| 6 | 2016 | 21 | |
| 7 | 2011 | 14 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2020 | 5 | |
| 12 | 2015 | 5 | |
| 13 | 2018 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2015 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2020 | 0 |
About Scott Barb
Scott Barb is a scholar working on Ophthalmology, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology and Developmental and Educational Psychology, having authored 18 papers that have together received 465 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (3 papers), Retinal Diseases and Treatments (2 papers), Retinal Imaging and Analysis (2 papers), Identity, Memory, and Therapy (2 papers), Functional Brain Connectivity Studies (2 papers), Ocular Infections and Treatments (2 papers), Autism Spectrum Disorder Research (1 paper) and Fetal and Pediatric Neurological Disorders (1 paper). The work is most often cited by research in Health Informatics (41 citations), Ophthalmology (129 citations), Radiology, Nuclear Medicine and Imaging (175 citations), Health Information Management (31 citations) and Cognitive Neuroscience (81 citations). Scott Barb has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Rory Sayres, Arjun B. Sood, Katy Blumer, Lily Peng, Ankur Taly, Ehsan Rahimy, Arunachalam Narayanaswamy, Anthony Joseph, David Coz and Derek Wu. Their work appears in journals such as PLoS ONE, Retina, Ophthalmology Retina, Journal of Pediatric Ophthalmology & Strabismus and Journal of Affective Disorders.
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.