Ranjit Nair

About

Ranjit Nair is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Ranjit Nair has authored 7 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 2 papers in Management Science and Operations Research. Recurrent topics in Ranjit Nair’s work include Reinforcement Learning in Robotics (6 papers), AI-based Problem Solving and Planning (3 papers) and Distributed Constraint Optimization Problems and Algorithms (3 papers). Ranjit Nair is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), AI-based Problem Solving and Planning (3 papers) and Distributed Constraint Optimization Problems and Algorithms (3 papers). Ranjit Nair collaborates with scholars based in United States and Japan. Ranjit Nair's co-authors include Milind Tambe, Makoto Yokoo, Pradeep Varakantham, Maayan Roth and Stacy Marsella and has published in prestigious journals such as Journal of Artificial Intelligence Research, Autonomous Agents and Multi-Agent Systems and Singapore Management University Institutional Knowledge (InK) (Singapore Management University).

In The Last Decade

Co-authorship network of co-authors of Ranjit Nair i

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Fields of papers citing papers by Ranjit Nair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ranjit Nair

Since Specialization

Citations

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