A.P. Dhillon
Impact in
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- Artificial Intelligence in Healthcare
- Health Informatics top 10%
Papers in
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- AI in cancer detection 3
- Machine Learning in Healthcare 2
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- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Ashima Singh (9 shared papers)Vinod K. Bhalla (3 shared papers)M.H.A. Rustin (1 shared paper)Peter E. M. Butler (1 shared paper)Rachel U Sidwell (1 shared paper)Manoj Kumar (1 shared paper)M. Shamim Hossain (1 shared paper)Ghulam Muhammad (1 shared paper)
- Journals
- Journal of Hepatology (5 papers)Applied Intelligence (1 paper)Archives of Computational Methods in Engineering (1 paper)ACM Transactions on Multimedia Computing Communications and Applications (1 paper)Gut (1 paper)
- Partner nations
- IndiaUnited KingdomUnited Arab Emirates
In The Last Decade
A.P. Dhillon
20 papers receiving 360 citations
Peers
Comparison fields: 5 of 87
- Health Information Management 62
- Health Informatics 11
- Dermatology 53
- Hepatology 27
- Neurology 43
Countries citing papers authored by A.P. Dhillon
This map shows the geographic impact of A.P. Dhillon'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 A.P. Dhillon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.P. Dhillon more than expected).
Fields of papers citing papers by A.P. Dhillon
This network shows the impact of papers produced by A.P. Dhillon. 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 A.P. Dhillon. The network helps show where A.P. Dhillon may publish in the future.
Co-authors
The 25 scholars most cited alongside A.P. Dhillon, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 68 | |
| 2 | 2022 | 51 | |
| 3 | Machine Learning in Healthcare Data Analysis: A Survey | 2019 | 49 |
| 4 | 2021 | 46 | |
| 5 | 1986 | 46 | |
| 6 | 1997 | 26 | |
| 7 | 2020 | 26 | |
| 8 | 2020 | 23 | |
| 9 | 2023 | 16 | |
| 10 | 2021 | 11 | |
| 11 | 2010 | 2 | |
| 12 | 2020 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2001 | 1 | |
| 17 | 2000 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2007 | 1 | |
| 20 | 2007 | 1 |
About A.P. Dhillon
A.P. Dhillon is a scholar working on Artificial Intelligence, Epidemiology, Health Information Management, Molecular Biology and Hepatology, having authored 22 papers that have together received 373 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Artificial Intelligence in Healthcare (5 papers), Gene expression and cancer classification (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), AI in cancer detection (3 papers), Machine Learning in Healthcare (2 papers), COVID-19 diagnosis using AI (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Health Information Management (62 citations), Health Informatics (11 citations), Dermatology (53 citations), Hepatology (27 citations) and Neurology (43 citations). A.P. Dhillon has collaborated with scholars based in India, United Kingdom and United Arab Emirates. Frequent co-authors include Ashima Singh, Vinod K. Bhalla, M.H.A. Rustin, Peter E. M. Butler, Rachel U Sidwell, Manoj Kumar, M. Shamim Hossain, Ghulam Muhammad, Neeraj Kumar and Barbara F. Rosenberg. Their work appears in journals such as Journal of Hepatology, Applied Intelligence, Archives of Computational Methods in Engineering, ACM Transactions on Multimedia Computing Communications and Applications and Gut.
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.