Rahul Kidambi

10 papers and 55 indexed citations i.

About

Rahul Kidambi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Rahul Kidambi has authored 10 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Mechanics. Recurrent topics in Rahul Kidambi’s work include Stochastic Gradient Optimization Techniques (6 papers), Sparse and Compressive Sensing Techniques (3 papers) and Machine Learning and Algorithms (3 papers). Rahul Kidambi is often cited by papers focused on Stochastic Gradient Optimization Techniques (6 papers), Sparse and Compressive Sensing Techniques (3 papers) and Machine Learning and Algorithms (3 papers). Rahul Kidambi collaborates with scholars based in United States and China. Rahul Kidambi's co-authors include Sham M. Kakade, Praneeth Netrapalli, Prateek Jain, Aaron Sidford, Rong Ge, Aravind Rajeswaran, Thorsten Joachims, Inderjit S. Dhillon, Bethany Lusch and Jonathan Chang and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

In The Last Decade

Co-authorship network of co-authors of Rahul Kidambi i

Fields of papers citing papers by Rahul Kidambi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rahul Kidambi

Since Specialization
Citations

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