Aditya U. Kale
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education 7
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- Retinal Imaging and Analysis 6
- Ophthalmology top 5%
- Retinal and Optic Conditions 7
- Retinal Diseases and Treatments 6
- Ocular Diseases and Behçet’s Syndrome 3
- Family Practice top 10%
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- Healthcare cost, quality, practices 3
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- Ethics in Clinical Research 2
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- Health Systems, Economic Evaluations, Quality of Life 2
- Co-authors
- Alastair K. DennistonXiaoxuan LiuPearse A. KeaneLivia FaesGabriella MoraesLucas M. BachmannSiegfried K. WagnerKonstantinos Balaskas
- Journals
- SHILAP Revista de lepidopterología (1 paper)BMJ (2 papers)BMJ Open (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Aditya U. Kale
17 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Health Informatics 459
- Health Information Management 104
- Radiology, Nuclear Medicine and Imaging 515
- Ophthalmology 116
- Family Practice 27
Countries citing papers authored by Aditya U. Kale
This map shows the geographic impact of Aditya U. Kale'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 Aditya U. Kale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya U. Kale more than expected).
Fields of papers citing papers by Aditya U. Kale
This network shows the impact of papers produced by Aditya U. Kale. 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 Aditya U. Kale. The network helps show where Aditya U. Kale may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aditya U. Kale, 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 | 2025 | 6 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 3 | |
| 6 | 2025 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 5 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 5 | |
| 17 | 2019 | 24 | |
| 18 | A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysisbreakdown → | 2019 | 1020 |
| 19 | 2019 | 14 | |
| 20 | 2019 | 17 |
About Aditya U. Kale
Aditya U. Kale is a scholar working on Health Informatics, Ophthalmology and Family Practice, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Retinal and Optic Conditions (7 papers), Artificial Intelligence in Healthcare and Education (7 papers), Retinal Diseases and Treatments (6 papers), Retinal Imaging and Analysis (6 papers), Healthcare cost, quality, practices (3 papers), Ocular Diseases and Behçet’s Syndrome (3 papers), Ethics in Clinical Research (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Health Informatics (459 citations), Health Information Management (104 citations) and Radiology, Nuclear Medicine and Imaging (515 citations). Aditya U. Kale has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Alastair K. Denniston, Xiaoxuan Liu, Pearse A. Keane, Livia Faes, Gabriella Moraes, Lucas M. Bachmann, Siegfried K. Wagner, Konstantinos Balaskas, Mohith Shamdas and Alice Bruynseels. Their work appears in journals such as SHILAP Revista de lepidopterología, BMJ and BMJ Open.
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.