Christopher Semturs
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
Papers in
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- Retinal Imaging and Analysis 4
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- Retinal Diseases and Treatments 2
- Retinal and Optic Conditions 1
- Co-authors
- Dale R. Webster (7 shared papers)Naama Hammel (4 shared papers)Greg S. Corrado (4 shared papers)Yun Liu (5 shared papers)Jonathan Krause (4 shared papers)Mike Schaekermann (4 shared papers)Rory Sayres (3 shared papers)April Y. Maa (2 shared papers)
- Journals
- Investigative Ophthalmology & Visual Science (1 paper)Ophthalmology (1 paper)EBioMedicine (1 paper)The Lancet Digital Health (1 paper)Journal of Diabetes Research (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Christopher Semturs
6 papers receiving 193 citations
Peers
Comparison fields: 5 of 46
- Health Informatics 29
- Ophthalmology 127
- Radiology, Nuclear Medicine and Imaging 149
- Health Information Management 12
- Computer Vision and Pattern Recognition 27
Countries citing papers authored by Christopher Semturs
This map shows the geographic impact of Christopher Semturs'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 Christopher Semturs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Semturs more than expected).
Fields of papers citing papers by Christopher Semturs
This network shows the impact of papers produced by Christopher Semturs. 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 Christopher Semturs. The network helps show where Christopher Semturs may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Semturs, 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 | 2019 | 126 | |
| 2 | 2024 | 25 | |
| 3 | 2023 | 20 | |
| 4 | 2024 | 12 | |
| 5 | 2020 | 12 | |
| 6 | 2025 | 1 | |
| 7 | Deep Learning for Identifying Retinal Vein Occlusion Features in Fundus Images | 2019 | 0 |
About Christopher Semturs
Christopher Semturs is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Health Informatics, Artificial Intelligence and General Health Professions, having authored 7 papers that have together received 196 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (4 papers), Retinal Diseases and Treatments (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), AI in cancer detection (2 papers), Empathy and Medical Education (1 paper), Digital Mental Health Interventions (1 paper), Patient-Provider Communication in Healthcare (1 paper) and Retinal and Optic Conditions (1 paper). The work is most often cited by research in Health Informatics (29 citations), Ophthalmology (127 citations), Radiology, Nuclear Medicine and Imaging (149 citations), Health Information Management (12 citations) and Computer Vision and Pattern Recognition (27 citations). Christopher Semturs has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Dale R. Webster, Naama Hammel, Greg S. Corrado, Yun Liu, Jonathan Krause, Mike Schaekermann, Rory Sayres, April Y. Maa, Lily Peng and Arielle Spitze. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Ophthalmology, EBioMedicine, The Lancet Digital Health and Journal of Diabetes 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.