Pratham Kaushik
Impact in
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- Artificial Intelligence in Healthcare
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- Brain Tumor Detection and Classification
Papers in
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- Retinal Imaging and Analysis 7
- COVID-19 diagnosis using AI 4
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- Digital Imaging for Blood Diseases 9
- Co-authors
- Pooja Sharma (11 shared papers)Swati Devliyal (4 shared papers)Kanwarpartap Singh Gill (5 shared papers)Deepak Upadhyay (2 shared papers)Vinay Kukreja (7 shared papers)Rajesh Kumar Kaushal (2 shared papers)Ayush Dogra (2 shared papers)Shanmugasundaram Hariharan (2 shared papers)
- Journals
- IEEE Access (1 paper)Results in Engineering (1 paper)Applied Fruit Science (2 papers)
- Partner nations
- IndiaTaiwanUnited States
In The Last Decade
Pratham Kaushik
19 papers receiving 35 citations
Peers
Comparison fields: 5 of 17
- Health Information Management 4
- Neurology 4
- Radiology, Nuclear Medicine and Imaging 8
- Plant Science 12
- Oral Surgery 2
Countries citing papers authored by Pratham Kaushik
This map shows the geographic impact of Pratham Kaushik'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 Pratham Kaushik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pratham Kaushik more than expected).
Fields of papers citing papers by Pratham Kaushik
This network shows the impact of papers produced by Pratham Kaushik. 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 Pratham Kaushik. The network helps show where Pratham Kaushik may publish in the future.
Co-authors
The 15 scholars most cited alongside Pratham Kaushik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2025 | 2 | |
| 7 | 2025 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Pratham Kaushik
Pratham Kaushik is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Plant Science and Neurology, having authored 49 papers that have together received 35 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), Digital Imaging for Blood Diseases (9 papers), AI in cancer detection (8 papers), Retinal Imaging and Analysis (7 papers), Brain Tumor Detection and Classification (5 papers), Dental Radiography and Imaging (4 papers), COVID-19 diagnosis using AI (4 papers) and Hair Growth and Disorders (4 papers). The work is most often cited by research in Health Information Management (4 citations), Neurology (4 citations), Radiology, Nuclear Medicine and Imaging (8 citations), Plant Science (12 citations) and Oral Surgery (2 citations). Pratham Kaushik has collaborated with scholars based in India, Taiwan and United States. Frequent co-authors include Pooja Sharma, Swati Devliyal, Kanwarpartap Singh Gill, Deepak Upadhyay, Vinay Kukreja, Deepak Upadhyay, Rajesh Kumar Kaushal, Ayush Dogra, Shanmugasundaram Hariharan and Abhishek Bhattacherjee. Their work appears in journals such as IEEE Access, Results in Engineering and Applied Fruit Science.
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.