Jay Pujara

38 papers and 371 indexed citations i.

About

Jay Pujara is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jay Pujara has authored 38 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jay Pujara’s work include Topic Modeling (19 papers), Natural Language Processing Techniques (10 papers) and Data Quality and Management (8 papers). Jay Pujara is often cited by papers focused on Topic Modeling (19 papers), Natural Language Processing Techniques (10 papers) and Data Quality and Management (8 papers). Jay Pujara collaborates with scholars based in United States, India and Taiwan. Jay Pujara's co-authors include Lise Getoor, Pedro Szekely, Xiang Ren, Filip Ilievski, Fred Morstatter, Pigi Kouki, Pei Zhou, Dong‐Ho Lee, Christopher Steven Marcum and Kristina Lerman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Wireless Communications and AI Magazine.

In The Last Decade

Co-authorship network of co-authors of Jay Pujara i

Fields of papers citing papers by Jay Pujara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jay Pujara

Since Specialization
Citations

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