Katy Blumer
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Ophthalmology top 1%
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Glaucoma and retinal disorders
Papers in ⓘ
- Co-authors
- Dale R. Webster (3 shared papers)Greg S. Corrado (2 shared papers)Lily Peng (3 shared papers)Michael V. McConnell (1 shared paper)Yun Liu (1 shared paper)Ryan Poplin (1 shared paper)Avinash V. Varadarajan (1 shared paper)Mazin Magzoub (2 shared papers)
- Journals
- Nature Biomedical Engineering (1 paper)Investigative Ophthalmology & Visual Science (1 paper)Journal of Materials Chemistry B (1 paper)Biochimica et Biophysica Acta (BBA) - Biomembranes (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesUnited Arab EmiratesIran
In The Last Decade
Katy Blumer
8 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Health Informatics 215
- Ophthalmology 494
- Radiology, Nuclear Medicine and Imaging 838
- Health Information Management 148
- Artificial Intelligence 328
Countries citing papers authored by Katy Blumer
This map shows the geographic impact of Katy Blumer'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 Katy Blumer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katy Blumer more than expected).
Fields of papers citing papers by Katy Blumer
This network shows the impact of papers produced by Katy Blumer. 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 Katy Blumer. The network helps show where Katy Blumer may publish in the future.
Co-authors
The 25 scholars most cited alongside Katy Blumer, 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 | Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning Hit paper breakdown → | 2018 | 1029 |
| 2 | Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy Hit paper breakdown → | 2018 | 250 |
| 3 | 2015 | 130 | |
| 4 | 2016 | 53 | |
| 5 | 2018 | 23 | |
| 6 | 2016 | 19 | |
| 7 | Direct Uncertainty Prediction with Applications to Healthcare. | 2018 | 3 |
| 8 | Assisted reads for diabetic retinopathy using a deep learning algorithm and integrated gradient explanation | 2018 | 2 |
About Katy Blumer
Katy Blumer is a scholar working on Health Informatics, Family Practice, Ophthalmology, Health Information Management and Microbiology, having authored 8 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (3 papers), Retinal Imaging and Analysis (3 papers), Acute Ischemic Stroke Management (2 papers), RNA Interference and Gene Delivery (2 papers), Machine Learning in Healthcare (2 papers), Nanoplatforms for cancer theranostics (1 paper), Artificial Intelligence in Healthcare (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Health Informatics (215 citations), Ophthalmology (494 citations), Radiology, Nuclear Medicine and Imaging (838 citations), Health Information Management (148 citations) and Artificial Intelligence (328 citations). Katy Blumer has collaborated with scholars based in United States, United Arab Emirates and Iran. Frequent co-authors include Dale R. Webster, Greg S. Corrado, Lily Peng, Michael V. McConnell, Yun Liu, Ryan Poplin, Avinash V. Varadarajan, Mazin Magzoub, Rachid Rezgui and Rory Sayres. Their work appears in journals such as Nature Biomedical Engineering, Investigative Ophthalmology & Visual Science, Journal of Materials Chemistry B, Biochimica et Biophysica Acta (BBA) - Biomembranes and Nucleic Acids Research.
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.