Maya Varma
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
Papers in
-
- Autism Spectrum Disorder Research 9
-
- Biomedical Text Mining and Ontologies 5
- Co-authors
- Dennis P. Wall (17 shared papers)Peter Washington (15 shared papers)Kelley Paskov (15 shared papers)Brianna Chrisman (14 shared papers)Aaron Kline (8 shared papers)Nick Haber (7 shared papers)Nate Stockham (10 shared papers)Émilie Leblanc (6 shared papers)
- Journals
- International Journal of Infectious Diseases (2 papers)Journal of Medical Internet Research (2 papers)Scientific Reports (2 papers)BioData Mining (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Maya Varma
28 papers receiving 507 citations
Peers
Comparison fields: 5 of 95
- Health Informatics 41
- Cognitive Neuroscience 162
- Applied Psychology 23
- Occupational Therapy 12
- Agronomy and Crop Science 29
Countries citing papers authored by Maya Varma
This map shows the geographic impact of Maya Varma'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 Maya Varma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Varma more than expected).
Fields of papers citing papers by Maya Varma
This network shows the impact of papers produced by Maya Varma. 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 Maya Varma. The network helps show where Maya Varma may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Varma, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 64 | |
| 2 | 2019 | 56 | |
| 3 | 1995 | 35 | |
| 4 | 2022 | 32 | |
| 5 | 2025 | 28 | |
| 6 | 2020 | 28 | |
| 7 | 2021 | 26 | |
| 8 | 2020 | 26 | |
| 9 | 2019 | 25 | |
| 10 | 2021 | 23 | |
| 11 | 2022 | 22 | |
| 12 | 2019 | 21 | |
| 13 | 2022 | 21 | |
| 14 | 2017 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 2024 | 13 | |
| 17 | 2023 | 13 | |
| 18 | 2020 | 11 | |
| 19 | 2021 | 8 | |
| 20 | 2023 | 8 |
About Maya Varma
Maya Varma is a scholar working on Cognitive Neuroscience, Molecular Biology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 31 papers that have together received 529 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (9 papers), Topic Modeling (5 papers), Biomedical Text Mining and Ontologies (5 papers), Virology and Viral Diseases (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Radiology practices and education (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Health Informatics (41 citations), Cognitive Neuroscience (162 citations), Applied Psychology (23 citations), Occupational Therapy (12 citations) and Agronomy and Crop Science (29 citations). Maya Varma has collaborated with scholars based in United States, India and France. Frequent co-authors include Dennis P. Wall, Peter Washington, Kelley Paskov, Brianna Chrisman, Aaron Kline, Nick Haber, Nate Stockham, Émilie Leblanc, Min Sun and Curtis P. Langlotz. Their work appears in journals such as International Journal of Infectious Diseases, Journal of Medical Internet Research, Scientific Reports, BioData Mining and BMC Bioinformatics.
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.