Akshay Swaminathan
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education 4
- Obstetrics and Gynecology top 10%
- Modeling and Simulation top 10%
- Health Information Management top 10%
- Artificial Intelligence in Healthcare 2
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- Child Nutrition and Water Access 7
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- Global Maternal and Child Health 4
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- Cancer Genomics and Diagnostics 3
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- Machine Learning in Healthcare 3
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- Poverty, Education, and Child Welfare 3
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- Digital Mental Health Interventions 2
- Co-authors
- Daniel J. CorsiGidon EshelAlon SheponS. V. SubramanianNigam H. ShahDev DashAlison CallahanArnold Milstein
- Journals
- npj Digital Medicine (2 papers)Journal of Clinical Oncology (2 papers)European Journal of Epidemiology (1 paper)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Akshay Swaminathan
31 papers receiving 469 citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Health Informatics 91
- Obstetrics and Gynecology 48
- Family Practice 12
- Modeling and Simulation 21
- Health Information Management 18
Countries citing papers authored by Akshay Swaminathan
This map shows the geographic impact of Akshay Swaminathan'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 Akshay Swaminathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshay Swaminathan more than expected).
Fields of papers citing papers by Akshay Swaminathan
This network shows the impact of papers produced by Akshay Swaminathan. 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 Akshay Swaminathan. The network helps show where Akshay Swaminathan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akshay Swaminathan, 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 | 10 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 16 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 17 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2020 | 6 | |
| 15 | 2019 | 16 | |
| 16 | 2019 | 60 | |
| 17 | 2019 | 24 | |
| 18 | Alternate land use through cultivation of medicinal and aromatic plants - A review | 2009 | 5 |
| 19 | Role of Major Nutrients in Cotton - A Critical Review | 2006 | 1 |
| 20 | Exploiting the Natural Resource - Lignite Humic Acid in Agriculture - A Review | 2006 | 10 |
About Akshay Swaminathan
Akshay Swaminathan is a scholar working on Health Informatics, Nutrition and Dietetics and Modeling and Simulation, having authored 36 papers that have together received 491 indexed citations. Recurring topics across this work include Child Nutrition and Water Access (7 papers), Artificial Intelligence in Healthcare and Education (4 papers), Global Maternal and Child Health (4 papers), Cancer Genomics and Diagnostics (3 papers), Machine Learning in Healthcare (3 papers), Poverty, Education, and Child Welfare (3 papers), Artificial Intelligence in Healthcare (2 papers) and Digital Mental Health Interventions (2 papers). The work is most often cited by research in Health Informatics (91 citations), Obstetrics and Gynecology (48 citations) and Family Practice (12 citations). Akshay Swaminathan has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Daniel J. Corsi, Gidon Eshel, Alon Shepon, S. V. Subramanian, Nigam H. Shah, Dev Dash, Alison Callahan, Arnold Milstein, Akash Chaurasia and Michael A. Pfeffer. Their work appears in journals such as npj Digital Medicine, Journal of Clinical Oncology, European Journal of Epidemiology, Scientific Reports and JAMA Network 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.