Aurko Roy

11 papers and 493 indexed citations i.

About

Aurko Roy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Aurko Roy has authored 11 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. Recurrent topics in Aurko Roy’s work include Combinatorial Optimization and Complexity Theory (4 papers), Multimodal Machine Learning Applications (3 papers) and Natural Language Processing Techniques (3 papers). Aurko Roy is often cited by papers focused on Combinatorial Optimization and Complexity Theory (4 papers), Multimodal Machine Learning Applications (3 papers) and Natural Language Processing Techniques (3 papers). Aurko Roy collaborates with scholars based in United States. Aurko Roy's co-authors include David Grangier, Colin Raffel, Ian Goodfellow, Mohammad Saffar, Ashish Vaswani, Jacob Buckman, Mohit Iyyer, Kalpesh Krishna, Ofir Nachum and Samy Bengio and has published in prestigious journals such as Mathematical Programming, Journal of Machine Learning Research and Transactions of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Aurko Roy i

Fields of papers citing papers by Aurko Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aurko Roy

Since Specialization
Citations

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