Nakul Gopalan

About

Nakul Gopalan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Nakul Gopalan has authored 18 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Nakul Gopalan’s work include Multimodal Machine Learning Applications (8 papers), Reinforcement Learning in Robotics (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Nakul Gopalan is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Reinforcement Learning in Robotics (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Nakul Gopalan collaborates with scholars based in United States, Germany and Singapore. Nakul Gopalan's co-authors include Stefanie Tellex, Cynthia Matuszek, Hadas Kress‐Gazit, Matthew Gombolay, Thao Nguyen, Lawson L. S. Wong, Ellie Pavlick, Roma Patel, Michael L. Littman and James MacGlashan and has published in prestigious journals such as Autonomous Robots, Pediatric Neurology and IEEE Robotics and Automation Letters.

In The Last Decade

Co-authorship network of co-authors of Nakul Gopalan i

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Fields of papers citing papers by Nakul Gopalan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nakul Gopalan

Since Specialization

Citations

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