Prasanna Ganesan

10 papers and 295 indexed citations i.

About

Prasanna Ganesan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Prasanna Ganesan has authored 10 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Prasanna Ganesan’s work include Peer-to-Peer Network Technologies (4 papers), Caching and Content Delivery (3 papers) and Advanced Database Systems and Queries (2 papers). Prasanna Ganesan is often cited by papers focused on Peer-to-Peer Network Technologies (4 papers), Caching and Content Delivery (3 papers) and Advanced Database Systems and Queries (2 papers). Prasanna Ganesan collaborates with scholars based in United States, India and United Kingdom. Prasanna Ganesan's co-authors include Héctor García-Molina, Jennifer Widom, Qi Sun, Mayank Bawa, Gurmeet Singh Manku, Gagan Aggarwal, Utkarsh Srivastava, Krishnaram Kenthapadi, Ying Xu and Dilys Thomas and has published in prestigious journals such as Future Generation Computer Systems, ACM SIGMOD Record and Applied Intelligence.

In The Last Decade

Co-authorship network of co-authors of Prasanna Ganesan i

Fields of papers citing papers by Prasanna Ganesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Prasanna Ganesan

Since Specialization
Citations

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