Sreepathi Pai

About

Sreepathi Pai is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Sreepathi Pai has authored 12 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hardware and Architecture, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Sreepathi Pai’s work include Parallel Computing and Optimization Techniques (8 papers), Graph Theory and Algorithms (5 papers) and Advanced Data Storage Technologies (4 papers). Sreepathi Pai is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Graph Theory and Algorithms (5 papers) and Advanced Data Storage Technologies (4 papers). Sreepathi Pai collaborates with scholars based in United States, India and Hong Kong. Sreepathi Pai's co-authors include Keshav Pingali, Matthew J. Thazhuthaveetil, R. Govindarajan, Rashid Kaleem, Tal Ben‐Nun, Dong Chen, Chen Ding, Sarfraz Khurshid, Milos Gligoric and Anand Venkat and has published in prestigious journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages and Proceedings of the ACM on Measurement and Analysis of Computing Systems.

In The Last Decade

Co-authorship network of co-authors of Sreepathi Pai i

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Fields of papers citing papers by Sreepathi Pai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sreepathi Pai

Since Specialization

Citations

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