Tanmay Parekh

7 papers and 388 indexed citations i.

About

Tanmay Parekh is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Tanmay Parekh has authored 7 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Epidemiology. Recurrent topics in Tanmay Parekh’s work include Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Speech Recognition and Synthesis (2 papers). Tanmay Parekh is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Speech Recognition and Synthesis (2 papers). Tanmay Parekh collaborates with scholars based in United States and India. Tanmay Parekh's co-authors include Brent L. Williams, W. Ian Lipkin, Mady Hornig, Saurabh Garg, Preethi Jyothi, Barnabás Póczos, Aman Madaan, Alan W. Black, Shrimai Prabhumoye and Ruslan Salakhutdinov and has published in prestigious journals such as mBio, arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Tanmay Parekh i

Fields of papers citing papers by Tanmay Parekh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tanmay Parekh

Since Specialization
Citations

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