Priya Goyal

About

Priya Goyal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Priya Goyal has authored 5 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Hardware and Architecture. Recurrent topics in Priya Goyal’s work include Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (2 papers) and Multimodal Machine Learning Applications (2 papers). Priya Goyal is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (2 papers) and Multimodal Machine Learning Applications (2 papers). Priya Goyal collaborates with scholars based in Israel, United States and France. Priya Goyal's co-authors include Piotr Dollár, Ross Girshick, Tsung-Yi Lin, Kaiming He, Dhruv Mahajan, Abhinav Gupta, Ishan Misra, Matthijs Douze, Zachary DeVito and Caner Hazırbaş and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Architecture and Code Optimization and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Priya Goyal i

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Fields of papers citing papers by Priya Goyal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Priya Goyal

Since Specialization

Citations

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