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
- Glaucoma and retinal disorders
Papers in ⓘ
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- Glaucoma and retinal disorders 3
- Retinal Diseases and Treatments 3
- Intraocular Surgery and Lenses 2
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- Functional Brain Connectivity Studies 4
- Memory Processes and Influences 3
- Co-authors
- Jesse M. Smith (3 shared papers)Dale R. Webster (1 shared paper)Anthony Joseph (1 shared paper)Arunachalam Narayanaswamy (1 shared paper)Katy Blumer (1 shared paper)Ankur Taly (1 shared paper)Ehsan Rahimy (1 shared paper)Rory Sayres (1 shared paper)
- Journals
- PLoS ONE (2 papers)Ophthalmology Retina (1 paper)JAMA Network Open (1 paper)Biological Psychiatry (1 paper)Behaviour Research and Therapy (1 paper)
- Partner nations
- United StatesJapanIsrael
In The Last Decade
Scott Barb
16 papers receiving 410 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Health Informatics 47
- Ophthalmology 146
- Radiology, Nuclear Medicine and Imaging 190
- Health Information Management 31
- Cognitive Neuroscience 82
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 | 250 |
| 2 | 2016 | 28 | |
| 3 | 2018 | 26 | |
| 4 | 2016 | 21 | |
| 5 | 2009 | 21 | |
| 6 | 2018 | 19 | |
| 7 | 2011 | 13 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2020 | 5 | |
| 12 | 2015 | 5 | |
| 13 | 2019 | 3 | |
| 14 | 2018 | 3 | |
| 15 | 2024 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2020 | 0 |
About Scott Barb
Scott Barb is a scholar working on Ophthalmology, Cognitive Neuroscience, Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Virology, having authored 17 papers that have together received 420 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (4 papers), Glaucoma and retinal disorders (3 papers), Memory Processes and Influences (3 papers), Retinal Imaging and Analysis (3 papers), Retinal Diseases and Treatments (3 papers), Identity, Memory, and Therapy (2 papers), Intraocular Surgery and Lenses (2 papers) and Treatment of Major Depression (2 papers). The work is most often cited by research in Health Informatics (47 citations), Ophthalmology (146 citations), Radiology, Nuclear Medicine and Imaging (190 citations), Health Information Management (31 citations) and Cognitive Neuroscience (82 citations). Scott Barb has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Jesse M. Smith, Dale R. Webster, Anthony Joseph, Arunachalam Narayanaswamy, Katy Blumer, Ankur Taly, Ehsan Rahimy, Rory Sayres, David Coz and Arjun B. Sood. Their work appears in journals such as PLoS ONE, Ophthalmology Retina, JAMA Network Open, Biological Psychiatry and Behaviour Research and Therapy.
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.