Yarin Gal

64 papers and 4.0k indexed citations i.

About

Yarin Gal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Yarin Gal has authored 64 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Control and Systems Engineering. Recurrent topics in Yarin Gal’s work include Gaussian Processes and Bayesian Inference (14 papers), Adversarial Robustness in Machine Learning (12 papers) and Anomaly Detection Techniques and Applications (12 papers). Yarin Gal is often cited by papers focused on Gaussian Processes and Bayesian Inference (14 papers), Adversarial Robustness in Machine Learning (12 papers) and Anomaly Detection Techniques and Applications (12 papers). Yarin Gal collaborates with scholars based in United Kingdom, United States and The Netherlands. Yarin Gal's co-authors include Alex Kendall, Roberto Cipolla, Zoubin Ghahramani, Pascal Notin, Debora S. Marks, Riashat Islam, Lewis Smith, Yee Whye Teh, Kelly P. Brock and Aidan N. Gomez and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Yarin Gal i

Fields of papers citing papers by Yarin Gal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yarin Gal

Since Specialization
Citations

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