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
-
- Retinal Diseases and Treatments 2
- Glaucoma and retinal disorders 2
-
- Functional Brain Connectivity Studies 2
- Autism Spectrum Disorder Research 1
- Face Recognition and Perception 1
- Co-authors
- Katy Blumer (1 shared paper)Jesse M. Smith (3 shared papers)Lily Peng (1 shared paper)Greg S. Corrado (1 shared paper)Anthony Joseph (1 shared paper)Dale R. Webster (1 shared paper)Naama Hammel (1 shared paper)Zahra Rastegar (1 shared paper)
- Journals
- PLoS ONE (2 papers)Experimental Eye Research (1 paper)Ophthalmology (1 paper)Retina (1 paper)Journal of Affective Disorders (1 paper)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Scott Barb
16 papers receiving 424 citations
Scott Barb's Hit Papers
Peers
Comparison fields: 5 of 89
- Health Informatics 38
- Ophthalmology 112
- Radiology, Nuclear Medicine and Imaging 158
- Health Information Management 29
- Cognitive Neuroscience 77
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 | 257 |
| 2 | 2016 | 28 | |
| 3 | 2018 | 28 | |
| 4 | 2018 | 22 | |
| 5 | 2009 | 21 | |
| 6 | 2016 | 21 | |
| 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 | 2 | |
| 16 | 2015 | 1 | |
| 17 | 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 17 papers that have together received 433 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (2 papers), Retinal Imaging and Analysis (2 papers), Identity, Memory, and Therapy (2 papers), Glaucoma and retinal disorders (2 papers), Functional Brain Connectivity Studies (2 papers), Autism Spectrum Disorder Research (1 paper), Fetal and Pediatric Neurological Disorders (1 paper) and Face Recognition and Perception (1 paper). The work is most often cited by research in Health Informatics (38 citations), Ophthalmology (112 citations), Radiology, Nuclear Medicine and Imaging (158 citations), Health Information Management (29 citations) and Cognitive Neuroscience (77 citations). Scott Barb has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Katy Blumer, Jesse M. Smith, Lily Peng, Greg S. Corrado, Anthony Joseph, Dale R. Webster, Naama Hammel, Zahra Rastegar, Derek Wu and Shawn Xu. Their work appears in journals such as PLoS ONE, Experimental Eye Research, Ophthalmology, Retina 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.