Daniel Kermany
Impact in
- Health Informatics top 5%
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
Papers in
-
- Single-cell and spatial transcriptomics 1
- Surgery 2
- Coronary Interventions and Diagnostics 2
- Co-authors
- Kang Zhang (2 shared papers)Sepehr Bahadorani (2 shared papers)Michael Singer (2 shared papers)Carolina C. S. Valentim (1 shared paper)Yaoming Liu (1 shared paper)Jie Zhu (1 shared paper)Xiulan Zhang (1 shared paper)Yaou Duan (1 shared paper)
- Journals
- Cancer Communications (1 paper)Ophthalmic surgery, lasers & imaging retina (1 paper)Precision Clinical Medicine (1 paper)Clinical ophthalmology (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Daniel Kermany
8 papers receiving 607 citations
Daniel Kermany's Hit Papers
Peers
Comparison fields: 5 of 66
- Health Informatics 42
- Radiology, Nuclear Medicine and Imaging 514
- Artificial Intelligence 343
- Ophthalmology 86
- Computer Vision and Pattern Recognition 137
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 | Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification Hit paper breakdown → | 2018 | 472 |
| 2 | 2018 | 113 | |
| 3 | 2018 | 22 | |
| 4 | 2022 | 18 | |
| 5 | 2018 | 10 | |
| 6 | 2019 | 4 | |
| 7 | 2025 | 1 | |
| 8 | 2017 | 1 |
About Daniel Kermany
Daniel Kermany is a scholar working on Molecular Biology, Surgery, Ophthalmology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 8 papers that have together received 641 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (2 papers), Optical Coherence Tomography Applications (2 papers), Glaucoma and retinal disorders (2 papers), Retinal Diseases and Treatments (2 papers), Single-cell and spatial transcriptomics (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Barrier Structure and Function Studies (1 paper) and Retinal Imaging and Analysis (1 paper). The work is most often cited by research in Health Informatics (42 citations), Radiology, Nuclear Medicine and Imaging (514 citations), Artificial Intelligence (343 citations), Ophthalmology (86 citations) and Computer Vision and Pattern Recognition (137 citations). Daniel Kermany has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Kang Zhang, Sepehr Bahadorani, Michael Singer, Carolina C. S. Valentim, Yaoming Liu, Jie Zhu, Xiulan Zhang, Yaou Duan, Fei Li and Shu-fang Deng. Their work appears in journals such as Cancer Communications, Ophthalmic surgery, lasers & imaging retina, Precision Clinical Medicine, Clinical ophthalmology and SHILAP Revista de lepidopterología.
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.