Daniel Kermany
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Retinal Diseases and Treatments 3
- Glaucoma and retinal disorders 2
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- Retinal Imaging and Analysis 5
- Co-authors
- Michael A. Singer (3 shared papers)Sepehr Bahadorani (2 shared papers)Kang Zhang (2 shared papers)Charlotte L Zhang (1 shared paper)Tao Wen (1 shared paper)Xiulan Zhang (1 shared paper)Carolina Carvalho Soares Valentim (1 shared paper)Yaou Duan (1 shared paper)
- Journals
- Precision Clinical Medicine (1 paper)Nature Medicine (1 paper)F1000Research (1 paper)Signal Transduction and Targeted Therapy (1 paper)癌症：英文版 (1 paper)
- Partner nations
- United StatesChinaMacao
In The Last Decade
Daniel Kermany
12 papers receiving 4.9k citations
Daniel Kermany's Hit Papers
Peers
Comparison fields: 5 of 154
- Health Informatics 547
- Radiology, Nuclear Medicine and Imaging 2.7k
- Health Information Management 281
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 576
Countries citing papers authored by Daniel Kermany
This map shows the geographic impact of Daniel Kermany'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 Daniel Kermany with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kermany more than expected).
Fields of papers citing papers by Daniel Kermany
This network shows the impact of papers produced by Daniel Kermany. 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 Daniel Kermany. The network helps show where Daniel Kermany may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Kermany, 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 | Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning Hit paper breakdown → | 2018 | 3522 |
| 2 | Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification Hit paper breakdown → | 2018 | 571 |
| 3 | Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence Hit paper breakdown → | 2019 | 486 |
| 4 | Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images Hit paper breakdown → | 2021 | 242 |
| 5 | 2018 | 126 | |
| 6 | 2016 | 35 | |
| 7 | 2018 | 25 | |
| 8 | 2022 | 19 | |
| 9 | 2018 | 10 | |
| 10 | 2019 | 5 | |
| 11 | 2025 | 2 | |
| 12 | 2017 | 1 | |
| 13 | 2026 | 0 |
About Daniel Kermany
Daniel Kermany is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Emergency Medical Services, Biophysics and Artificial Intelligence, having authored 13 papers that have together received 5k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (5 papers), Retinal Diseases and Treatments (3 papers), Glaucoma and retinal disorders (2 papers), AI in cancer detection (1 paper), Point processes and geometric inequalities (1 paper), Cell Image Analysis Techniques (1 paper), Single-cell and spatial transcriptomics (1 paper) and Gut microbiota and health (1 paper). The work is most often cited by research in Health Informatics (547 citations), Radiology, Nuclear Medicine and Imaging (2.7k citations), Health Information Management (281 citations), Artificial Intelligence (1.1k citations) and Computer Vision and Pattern Recognition (576 citations). Daniel Kermany has collaborated with scholars based in United States, China and Macao. Frequent co-authors include Michael A. Singer, Sepehr Bahadorani, Kang Zhang, Charlotte L Zhang, Tao Wen, Xiulan Zhang, Carolina Carvalho Soares Valentim, Yaou Duan, Xiaodong Sun and Yaoming Liu. Their work appears in journals such as Precision Clinical Medicine, Nature Medicine, F1000Research, Signal Transduction and Targeted Therapy and 癌症：英文版.
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.