Sudeep Dasari

9 papers and 178 indexed citations i.

About

Sudeep Dasari is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Sudeep Dasari has authored 9 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Control and Systems Engineering. Recurrent topics in Sudeep Dasari’s work include Domain Adaptation and Few-Shot Learning (5 papers), Reinforcement Learning in Robotics (4 papers) and Multimodal Machine Learning Applications (3 papers). Sudeep Dasari is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Reinforcement Learning in Robotics (4 papers) and Multimodal Machine Learning Applications (3 papers). Sudeep Dasari collaborates with scholars based in United States. Sudeep Dasari's co-authors include Chelsea Finn, Sergey Levine, Tianhe Yu, Annie Xie, Tianhao Zhang, Pieter Abbeel, David Mascareñas, Charles Dorn, Alex X. Lee and Frederik Ebert and has published in prestigious journals such as Journal of Engineering Mechanics, Journal of Intelligent Material Systems and Structures and Frontiers in Built Environment.

In The Last Decade

Co-authorship network of co-authors of Sudeep Dasari i

Fields of papers citing papers by Sudeep Dasari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sudeep Dasari

Since Specialization
Citations

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