Maya Varma
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
Papers in
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- Autism Spectrum Disorder Research 12
-
- Biomedical Text Mining and Ontologies 4
- Co-authors
- Dennis P. Wall (17 shared papers)Peter Washington (15 shared papers)Nate Stockham (15 shared papers)Brianna Chrisman (14 shared papers)Kelley Paskov (15 shared papers)Aaron Kline (8 shared papers)Catalin Voss (7 shared papers)Min Sun (8 shared papers)
- Journals
- Scientific Reports (2 papers)BioData Mining (2 papers)BMC Bioinformatics (2 papers)International Journal of Infectious Diseases (2 papers)Journal of Medical Internet Research (2 papers)
- Partner nations
- United StatesIndiaSpain
In The Last Decade
Maya Varma
28 papers receiving 458 citations
Peers
Comparison fields: 5 of 96
- Health Informatics 42
- Cognitive Neuroscience 184
- Applied Psychology 41
- Occupational Therapy 15
- Education 97
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 60 | |
| 2 | 2019 | 49 | |
| 3 | 1995 | 34 | |
| 4 | 2022 | 30 | |
| 5 | 2020 | 26 | |
| 6 | 2021 | 24 | |
| 7 | 2020 | 24 | |
| 8 | 2021 | 22 | |
| 9 | 2019 | 22 | |
| 10 | 2019 | 21 | |
| 11 | 2022 | 21 | |
| 12 | 2017 | 18 | |
| 13 | 2022 | 17 | |
| 14 | 2025 | 17 | |
| 15 | 2020 | 17 | |
| 16 | 2020 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2021 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2023 | 7 |
About Maya Varma
Maya Varma is a scholar working on Cognitive Neuroscience, Molecular Biology, Epidemiology, Artificial Intelligence and Genetics, having authored 29 papers that have together received 475 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (12 papers), Virology and Viral Diseases (6 papers), Child Development and Digital Technology (4 papers), Biomedical Text Mining and Ontologies (4 papers), Topic Modeling (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Health Informatics (42 citations), Cognitive Neuroscience (184 citations), Applied Psychology (41 citations), Occupational Therapy (15 citations) and Education (97 citations). Maya Varma has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Dennis P. Wall, Peter Washington, Nate Stockham, Brianna Chrisman, Kelley Paskov, Aaron Kline, Catalin Voss, Min Sun, Émilie Leblanc and Kaitlyn Dunlap. Their work appears in journals such as Scientific Reports, BioData Mining, BMC Bioinformatics, International Journal of Infectious Diseases and Journal of Medical Internet Research.
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.