Shivaram Kalyanakrishnan

19 papers and 168 indexed citations i.

About

Shivaram Kalyanakrishnan is a scholar working on Artificial Intelligence, Management Science and Operations Research and Biomedical Engineering. According to data from OpenAlex, Shivaram Kalyanakrishnan has authored 19 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 6 papers in Biomedical Engineering. Recurrent topics in Shivaram Kalyanakrishnan’s work include Machine Learning and Algorithms (9 papers), Reinforcement Learning in Robotics (9 papers) and Advanced Bandit Algorithms Research (7 papers). Shivaram Kalyanakrishnan is often cited by papers focused on Machine Learning and Algorithms (9 papers), Reinforcement Learning in Robotics (9 papers) and Advanced Bandit Algorithms Research (7 papers). Shivaram Kalyanakrishnan collaborates with scholars based in United States, India and Japan. Shivaram Kalyanakrishnan's co-authors include Peter Stone, Ambarish Goswami, Umashankar Nagarajan, Daniel Urieli, Sung‐Hee Lee, KangKang Yin, Seung-kook Yun, Patrick MacAlpine, Francisco J. Barrera and Aditya Gopalan and has published in prestigious journals such as Journal of the American Chemical Society, Machine Learning and Autonomous Robots.

In The Last Decade

Co-authorship network of co-authors of Shivaram Kalyanakrishnan i

Fields of papers citing papers by Shivaram Kalyanakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shivaram Kalyanakrishnan

Since Specialization
Citations

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