Suraj Nair

12 papers and 311 indexed citations i.

About

Suraj Nair is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Suraj Nair has authored 12 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Control and Systems Engineering. Recurrent topics in Suraj Nair’s work include Multimodal Machine Learning Applications (5 papers), Reinforcement Learning in Robotics (4 papers) and Robot Manipulation and Learning (3 papers). Suraj Nair is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Reinforcement Learning in Robotics (4 papers) and Robot Manipulation and Learning (3 papers). Suraj Nair collaborates with scholars based in United States, Germany and Singapore. Suraj Nair's co-authors include Chelsea Finn, Ashwin Balakrishna, Li Fei-Fei, Yuke Zhu, Zefeng Li, De-An Huang, Yisong Yue, Danfei Xu, Silvio Savarese and Juan Carlos Niebles and has published in prestigious journals such as Journal of Geophysical Research Solid Earth, IEEE Robotics and Automation Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

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

Fields of papers citing papers by Suraj Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suraj Nair

Since Specialization
Citations

This map shows the geographic impact of Suraj 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 Suraj Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suraj 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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2025