Jack W. Rae

14 papers and 209 indexed citations i.

About

Jack W. Rae is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jack W. Rae has authored 14 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Jack W. Rae’s work include Topic Modeling (7 papers), Multimodal Machine Learning Applications (6 papers) and Natural Language Processing Techniques (4 papers). Jack W. Rae is often cited by papers focused on Topic Modeling (7 papers), Multimodal Machine Learning Applications (6 papers) and Natural Language Processing Techniques (4 papers). Jack W. Rae collaborates with scholars based in United States and United Kingdom. Jack W. Rae's co-authors include Timothy Lillicrap, Ali Razavi, Siddhant M. Jayakumar, Dani Yogatama, Robert Stanforth, Ray Jiang, Po-Sen Huang, Pushmeet Kohli, Johannes Welbl and Huan Zhang 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 Jack W. Rae i

Fields of papers citing papers by Jack W. Rae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack W. Rae. 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 Jack W. Rae. The network helps show where Jack W. Rae may publish in the future.

Countries citing papers authored by Jack W. Rae

Since Specialization
Citations

This map shows the geographic impact of Jack W. Rae'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 Jack W. Rae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack W. Rae 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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2025