Arun Tejasvi Chaganty

About

Arun Tejasvi Chaganty is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Arun Tejasvi Chaganty has authored 15 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Information Systems. Recurrent topics in Arun Tejasvi Chaganty’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Machine Learning and Algorithms (4 papers). Arun Tejasvi Chaganty is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Machine Learning and Algorithms (4 papers). Arun Tejasvi Chaganty collaborates with scholars based in United States, India and United Kingdom. Arun Tejasvi Chaganty's co-authors include Percy Liang, Stephen Mussmann, Christopher D. Manning, Panupong Pasupat, Aditya V. Nori, Sriram K. Rajamani, Ni Lao, Da-Cheng Juan, Vincent Zhao and Kelvin Guu and has published in prestigious journals such as Theory and applications of categories, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Arun Tejasvi Chaganty i

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Fields of papers citing papers by Arun Tejasvi Chaganty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arun Tejasvi Chaganty. 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 Arun Tejasvi Chaganty. The network helps show where Arun Tejasvi Chaganty may publish in the future.

Countries citing papers authored by Arun Tejasvi Chaganty

Since Specialization

Citations

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