Tom Dietterich

14 papers and 2.5k indexed citations i.

About

Tom Dietterich is a scholar working on Artificial Intelligence, Computer Networks and Communications and Economics and Econometrics. According to data from OpenAlex, Tom Dietterich has authored 14 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 2 papers in Economics and Econometrics. Recurrent topics in Tom Dietterich’s work include Machine Learning and Algorithms (5 papers), Reinforcement Learning in Robotics (4 papers) and Artificial Intelligence in Games (3 papers). Tom Dietterich is often cited by papers focused on Machine Learning and Algorithms (5 papers), Reinforcement Learning in Robotics (4 papers) and Artificial Intelligence in Games (3 papers). Tom Dietterich collaborates with scholars based in United States, Australia and Bahrain. Tom Dietterich's co-authors include Ghulum Bakiri, Alan Fern, Michael T. Rosenstein, Leslie Pack Kaelbling, Daniel Sheldon, Akshat Kumar, Iadine Chadès, Yann Dujardin, Rebecca Hutchinson and Stuart Russell and has published in prestigious journals such as ACM Computing Surveys, Journal of Artificial Intelligence Research and AI Magazine.

In The Last Decade

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

Fields of papers citing papers by Tom Dietterich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tom Dietterich

Since Specialization
Citations

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