Tom Schaul

45 papers and 2.9k indexed citations i.

About

Tom Schaul is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Tom Schaul has authored 45 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 8 papers in Signal Processing and 6 papers in Computational Theory and Mathematics. Recurrent topics in Tom Schaul’s work include Reinforcement Learning in Robotics (23 papers), Evolutionary Algorithms and Applications (22 papers) and Metaheuristic Optimization Algorithms Research (12 papers). Tom Schaul is often cited by papers focused on Reinforcement Learning in Robotics (23 papers), Evolutionary Algorithms and Applications (22 papers) and Metaheuristic Optimization Algorithms Research (12 papers). Tom Schaul collaborates with scholars based in United States, United Kingdom and Switzerland. Tom Schaul's co-authors include Georg Ostrovski, Bilal Piot, David Silver, Dan Horgan, Will Dabney, Daan Wierstra, Matteo Hessel, Hado van Hasselt, Mohammad Gheshlaghi Azar and Joseph Modayil and has published in prestigious journals such as Journal of Machine Learning Research, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and IEEE Transactions on Computational Intelligence and AI in Games.

In The Last Decade

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

Fields of papers citing papers by Tom Schaul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tom Schaul

Since Specialization
Citations

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