Anima Anandkumar

99 papers and 1.9k indexed citations i.

About

Anima Anandkumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mathematics. According to data from OpenAlex, Anima Anandkumar has authored 99 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 36 papers in Computer Vision and Pattern Recognition and 13 papers in Computational Mathematics. Recurrent topics in Anima Anandkumar’s work include Advanced Neural Network Applications (15 papers), Tensor decomposition and applications (13 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Anima Anandkumar is often cited by papers focused on Advanced Neural Network Applications (15 papers), Tensor decomposition and applications (13 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Anima Anandkumar collaborates with scholars based in United States, United Kingdom and Hong Kong. Anima Anandkumar's co-authors include Kamyar Azizzadenesheli, Zongyi Li, Jean Kossaifi, Sally M. Benson, Gege Wen, Zhiding Yu, Yannis Panagakis, Maja Pantić, Nikola B. Kovachki and Zachary C. Lipton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Anima Anandkumar i

Fields of papers citing papers by Anima Anandkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anima Anandkumar

Since Specialization
Citations

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