Nature (2 papers)Science (1 paper)International Conference on Machine Learning (1 paper)Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (1 paper)
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
This map shows the geographic impact of Thomas Hubert'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 Thomas Hubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Hubert more than expected).
This network shows the impact of papers produced by Thomas Hubert. 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 Thomas Hubert. The network helps show where Thomas Hubert may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Hubert, linked wherever they
have co-authored with each other. Click a name or a connecting line to browse the papers
they share.
Border = papers with Thomas HubertLine = papers co-authored togetherThomas Hubert links everyone, so they are left out of the graph.
Thomas Hubert is a scholar working on Artificial Intelligence, Computational Mathematics, Computational Theory and Mathematics, Developmental and Educational Psychology and Infectious Diseases, having authored 5 papers that have together received 7.1k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (4 papers), Reinforcement Learning in Robotics (4 papers), Evolutionary Algorithms and Applications (2 papers), Educational Games and Gamification (1 paper), Cellular Automata and Applications (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Tensor decomposition and applications (1 paper). The work is most often cited by research in Artificial Intelligence (3.7k citations), Health Informatics (103 citations), Computer Vision and Pattern Recognition (926 citations), Computational Mathematics (24 citations) and Computational Theory and Mathematics (582 citations). Thomas Hubert has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Julian Schrittwieser, David Silver, Demis Hassabis, Ioannis Antonoglou, Matthew Lai, Thore Graepel, Timothy Lillicrap, Arthur Guez, Laurent Sifre and Karen Simonyan. Their work appears in journals such as Nature, Science, International Conference on Machine Learning and Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
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.