Ravindran Kannan

24 papers and 647 indexed citations i.

About

Ravindran Kannan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Ravindran Kannan has authored 24 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 6 papers in Computer Networks and Communications. Recurrent topics in Ravindran Kannan’s work include Machine Learning and Algorithms (5 papers), Bayesian Methods and Mixture Models (4 papers) and Optimization and Search Problems (4 papers). Ravindran Kannan is often cited by papers focused on Machine Learning and Algorithms (5 papers), Bayesian Methods and Mixture Models (4 papers) and Optimization and Search Problems (4 papers). Ravindran Kannan collaborates with scholars based in United States, India and Germany. Ravindran Kannan's co-authors include Achim Bachem, Sanjeev Arora, Ankur Moitra, Rong Ge, Amit Kumar, Marek Karpiński, Santosh Vempala, Hariharan Narayanan, Hadi Salmasian and Avrim Blum and has published in prestigious journals such as Journal of the ACM, SIAM Journal on Computing and Mathematics of Operations Research.

In The Last Decade

Co-authorship network of co-authors of Ravindran Kannan i

Fields of papers citing papers by Ravindran Kannan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ravindran Kannan

Since Specialization
Citations

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