Rajat Monga

About

Rajat Monga is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Rajat Monga has authored 7 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Rajat Monga’s work include Domain Adaptation and Few-Shot Learning (2 papers), Speech Recognition and Synthesis (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Rajat Monga is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Speech Recognition and Synthesis (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Rajat Monga collaborates with scholars based in United States and Canada. Rajat Monga's co-authors include Oriol Vinyals, Sudheendra Vijayanarasimhan, George Toderici, Matthew Hausknecht, Joe Yue-Hei Ng, Quoc V. Le, Greg S. Corrado, Andrew Y. Ng, Matthieu Devin and Marc’Aurelio Ranzato and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Rajat Monga i

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Fields of papers citing papers by Rajat Monga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rajat Monga

Since Specialization

Citations

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