Kanna Rajan

8 papers and 326 indexed citations i.

About

Kanna Rajan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Kanna Rajan has authored 8 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 2 papers in Information Systems. Recurrent topics in Kanna Rajan’s work include AI-based Problem Solving and Planning (6 papers), Distributed Constraint Optimization Problems and Algorithms (3 papers) and Logic, Reasoning, and Knowledge (2 papers). Kanna Rajan is often cited by papers focused on AI-based Problem Solving and Planning (6 papers), Distributed Constraint Optimization Problems and Algorithms (3 papers) and Logic, Reasoning, and Knowledge (2 papers). Kanna Rajan collaborates with scholars based in United States, United Kingdom and Germany. Kanna Rajan's co-authors include John Bresina, Ari Jónsson, Paul Morris, Jörg Hoffmann, Karen Meyers, Ronen I. Brafman, Susanne Biundo, Frédéric Py, John P. Ryan and P. Maldague and has published in prestigious journals such as The International Journal of Robotics Research, Autonomous Robots and IEEE Intelligent Systems.

In The Last Decade

Co-authorship network of co-authors of Kanna Rajan i

Fields of papers citing papers by Kanna Rajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kanna Rajan

Since Specialization
Citations

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