Rina Panigrahy‎

45 papers and 1.4k indexed citations i.

About

Rina Panigrahy‎ is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Rina Panigrahy‎ has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 17 papers in Computer Networks and Communications and 14 papers in Computational Theory and Mathematics. Recurrent topics in Rina Panigrahy‎’s work include Algorithms and Data Compression (12 papers), Combinatorial Optimization and Complexity Theory (10 papers) and Optimization and Search Problems (7 papers). Rina Panigrahy‎ is often cited by papers focused on Algorithms and Data Compression (12 papers), Combinatorial Optimization and Complexity Theory (10 papers) and Optimization and Search Problems (7 papers). Rina Panigrahy‎ collaborates with scholars based in United States, Hong Kong and India. Rina Panigrahy‎'s co-authors include Nitin Agrawal, Mark S. Manasse, John D. Davis, Ted Wobber, Vijayan Prabhakaran, Moses Charikar, Sreenivas Gollapudi, Yinglian Xie, Rajeev Motwani and Krishnaram Kenthapadi and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of the ACM and IEEE Transactions on Computers.

In The Last Decade

Co-authorship network of co-authors of Rina Panigrahy‎ i

Fields of papers citing papers by Rina Panigrahy‎

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rina Panigrahy‎

Since Specialization
Citations

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