Jay Acharya
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Radiology practices and education
- Advanced MRI Techniques and Applications
- Radiation Dose and Imaging
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
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- Radiology practices and education 8
- Advanced MRI Techniques and Applications 7
- Radiation Dose and Imaging 3
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Anandh Rajamohan (13 shared papers)Paul E. Kim (5 shared papers)Vishal Nainesh Patel (8 shared papers)John L. Go (5 shared papers)Krishna S. Nayak (5 shared papers)Mark S. Shiroishi (2 shared papers)Nasim Sheikh‐Bahaei (3 shared papers)Simon P. Kelley (1 shared paper)
- Journals
- American Journal of Neuroradiology (5 papers)Academic Radiology (3 papers)Frontiers in Neurology (3 papers)Journal of Nuclear Medicine (2 papers)Magnetic Resonance in Medicine (2 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Jay Acharya
37 papers receiving 682 citations
Peers
Comparison fields: 5 of 74
- Radiology, Nuclear Medicine and Imaging 241
- Genetics 80
- Health Informatics 20
- Neurology 50
- Psychiatry and Mental health 80
Countries citing papers authored by Jay Acharya
This map shows the geographic impact of Jay Acharya'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 Jay Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Acharya more than expected).
Fields of papers citing papers by Jay Acharya
This network shows the impact of papers produced by Jay Acharya. 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 Jay Acharya. The network helps show where Jay Acharya may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Acharya, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 128 | |
| 2 | 2013 | 99 | |
| 3 | 2020 | 77 | |
| 4 | 2020 | 72 | |
| 5 | 2020 | 52 | |
| 6 | 2015 | 37 | |
| 7 | 2008 | 26 | |
| 8 | 2018 | 25 | |
| 9 | 2019 | 25 | |
| 10 | 2020 | 18 | |
| 11 | 2024 | 15 | |
| 12 | 2017 | 14 | |
| 13 | 2012 | 12 | |
| 14 | 2013 | 12 | |
| 15 | 2016 | 11 | |
| 16 | 2013 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2020 | 8 | |
| 19 | 2019 | 7 | |
| 20 | 2020 | 5 |
About Jay Acharya
Jay Acharya is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Health Information Management, Ophthalmology and Epidemiology, having authored 40 papers that have together received 709 indexed citations. Recurring topics across this work include Radiology practices and education (8 papers), Advanced MRI Techniques and Applications (7 papers), Radiation Dose and Imaging (3 papers), Neurological Complications and Syndromes (2 papers), Brain Metastases and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Electronic Health Records Systems (2 papers) and Meningioma and schwannoma management (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (241 citations), Genetics (80 citations), Health Informatics (20 citations), Neurology (50 citations) and Psychiatry and Mental health (80 citations). Jay Acharya has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Anandh Rajamohan, Paul E. Kim, Vishal Nainesh Patel, John L. Go, Krishna S. Nayak, Mark S. Shiroishi, Nasim Sheikh‐Bahaei, Simon P. Kelley, Christopher L. Gordon and Bheeshma Ravi. Their work appears in journals such as American Journal of Neuroradiology, Academic Radiology, Frontiers in Neurology, Journal of Nuclear Medicine and Magnetic Resonance in Medicine.
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.