Arsha Nagrani

35 papers and 2.9k indexed citations i.

About

Arsha Nagrani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Arsha Nagrani has authored 35 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 14 papers in Signal Processing. Recurrent topics in Arsha Nagrani’s work include Human Pose and Action Recognition (18 papers), Multimodal Machine Learning Applications (15 papers) and Speech and Audio Processing (12 papers). Arsha Nagrani is often cited by papers focused on Human Pose and Action Recognition (18 papers), Multimodal Machine Learning Applications (15 papers) and Speech and Audio Processing (12 papers). Arsha Nagrani collaborates with scholars based in United Kingdom, United States and South Korea. Arsha Nagrani's co-authors include Andrew Zisserman, Joon Son Chung, Weidi Xie, Samuel Albanie, Max Bain, Gül Varol, Andrea Vedaldi, Cordelia Schmid, Dima Damen and Evangelos Kazakos and has published in prestigious journals such as Science Advances, IEEE/ACM Transactions on Audio Speech and Language Processing and Computer Speech & Language.

In The Last Decade

Co-authorship network of co-authors of Arsha Nagrani i

Fields of papers citing papers by Arsha Nagrani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arsha Nagrani

Since Specialization
Citations

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