Tanmay Parekh

28 total papers · 444 total citations
10 papers, 327 citations indexed

About

Tanmay Parekh is a scholar working on Artificial Intelligence, Epidemiology and Infectious Diseases. According to data from OpenAlex, Tanmay Parekh has authored 10 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Epidemiology and 1 paper in Infectious Diseases. Recurrent topics in Tanmay Parekh's work include Topic Modeling (3 papers), Speech and dialogue systems (3 papers) and Data-Driven Disease Surveillance (2 papers). Tanmay Parekh is often cited by papers focused on Topic Modeling (3 papers), Speech and dialogue systems (3 papers) and Data-Driven Disease Surveillance (2 papers). Tanmay Parekh collaborates with scholars based in United States and India. Tanmay Parekh's co-authors include Mady Hornig, Brent L. Williams, W. Ian Lipkin, Saurabh Garg, Preethi Jyothi, Kai-Wei Chang, Kuan-Hao Huang, Yulia Tsvetkov, Alan W. Black and Nanyun Peng and has published in prestigious journals such as mBio.

In The Last Decade

Tanmay Parekh

6 papers receiving 316 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tanmay Parekh 234 82 74 57 54 10 327
D. N. Khochanskiy 199 0.9× 50 0.6× 57 0.8× 77 1.4× 41 0.8× 11 329
Qiongling Peng 187 0.8× 83 1.0× 96 1.3× 38 0.7× 25 0.5× 15 301
Fan Wu 200 0.9× 79 1.0× 72 1.0× 37 0.6× 25 0.5× 11 279
Chihiro Sawai 168 0.7× 118 1.4× 71 1.0× 39 0.7× 24 0.4× 18 361
Linling Lv 164 0.7× 38 0.5× 51 0.7× 57 1.0× 79 1.5× 6 255
Mark Klukowski 117 0.5× 110 1.3× 112 1.5× 70 1.2× 34 0.6× 11 362
Yuko Sakaue 145 0.6× 109 1.3× 55 0.7× 35 0.6× 26 0.5× 16 328
Meixia Dai 112 0.5× 84 1.0× 107 1.4× 22 0.4× 28 0.5× 15 260
Michael Ash 149 0.6× 67 0.8× 51 0.7× 43 0.8× 20 0.4× 5 300
Maria Vittoria Ristori 123 0.5× 96 1.2× 102 1.4× 18 0.3× 16 0.3× 11 268

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).

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.

Co-authorship network of co-authors of Tanmay Parekh

This figure shows the co-authorship network connecting the top 25 collaborators of Tanmay Parekh. A scholar is included among the top collaborators of Tanmay Parekh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tanmay Parekh. Tanmay Parekh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026