Preethi Raghavan

16 papers and 474 indexed citations i.

About

Preethi Raghavan is a scholar working on Artificial Intelligence, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Preethi Raghavan has authored 16 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Molecular Biology and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Preethi Raghavan’s work include Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers) and Biomedical Text Mining and Ontologies (8 papers). Preethi Raghavan is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers) and Biomedical Text Mining and Ontologies (8 papers). Preethi Raghavan collaborates with scholars based in United States, Taiwan and India. Preethi Raghavan's co-authors include Albert M. Lai, Eric Fosler‐Lussier, Noémie Elhadad, Chaitanya Shivade, Peter J. Embí, Stephen B. Johnson, Jennifer J. Liang, Anusri Pampari, Jian Peng and Wei‐Hung Weng and has published in prestigious journals such as Journal of the American Medical Informatics Association, JMIR Medical Informatics and Constraints.

In The Last Decade

Co-authorship network of co-authors of Preethi Raghavan i

Fields of papers citing papers by Preethi Raghavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Preethi Raghavan. 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 Preethi Raghavan. The network helps show where Preethi Raghavan may publish in the future.

Countries citing papers authored by Preethi Raghavan

Since Specialization
Citations

This map shows the geographic impact of Preethi Raghavan'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 Preethi Raghavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preethi Raghavan more than expected).

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.

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2025