Tom Rainforth

21 papers and 106 indexed citations i.

About

Tom Rainforth is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Tom Rainforth has authored 21 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. Recurrent topics in Tom Rainforth’s work include Adversarial Robustness in Machine Learning (6 papers), Machine Learning and Algorithms (5 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). Tom Rainforth is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Machine Learning and Algorithms (5 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). Tom Rainforth collaborates with scholars based in United Kingdom, United States and South Korea. Tom Rainforth's co-authors include Yee Whye Teh, N. Siddharth, Émile Mathieu, Frank Wood, Maximilian Igl, Hongseok Yang, Adam R. Kosiorek, Chris J. Maddison, Robert Cornish and Tuan Le and has published in prestigious journals such as Journal of Machine Learning Research, Statistical Science and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Tom Rainforth i

Fields of papers citing papers by Tom Rainforth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tom Rainforth

Since Specialization
Citations

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