Tim G. J. Rudner

About

Tim G. J. Rudner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Global and Planetary Change. According to data from OpenAlex, Tim G. J. Rudner has authored 7 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Global and Planetary Change. Recurrent topics in Tim G. J. Rudner’s work include Gaussian Processes and Bayesian Inference (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Reinforcement Learning in Robotics (2 papers). Tim G. J. Rudner is often cited by papers focused on Gaussian Processes and Bayesian Inference (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Reinforcement Learning in Robotics (2 papers). Tim G. J. Rudner collaborates with scholars based in United Kingdom, Luxembourg and United States. Tim G. J. Rudner's co-authors include Benjamin Bischke, Ramona Pelich, Veronika Kopačková, Marc Rußwurm, Piotr Biliński, Yarin Gal, Anuj Mahajan, Dino Sejdinović, Matthew Fellows and Shimon Whiteson and has published in prestigious journals such as Entropy, arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Tim G. J. Rudner i

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Fields of papers citing papers by Tim G. J. Rudner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim G. J. Rudner. 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 Tim G. J. Rudner. The network helps show where Tim G. J. Rudner may publish in the future.

Countries citing papers authored by Tim G. J. Rudner

Since Specialization

Citations

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