Sam Earle

469 citations
21 papers · 269 · h-index 7

Impact in

Papers in

Journals
IEEE Transactions on Games (2 papers)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (3 papers)Proceedings of the Genetic and Evolutionary Computation Conference (2 papers)Genetic and evolutionary computation (1 paper)

In The Last Decade

Sam Earle

17 papers receiving 262 citations

Peers

Sam Earle
Comparison fields: 5 of 49
  • Artificial Intelligence 186
  • Health Informatics 6
  • Computer Vision and Pattern Recognition 67
  • Computer Graphics and Computer-Aided Design 11
  • Developmental and Educational Psychology 34
Replace Chong-U Lim with:
Chong-U Lim United States
Tommy Thompson United Kingdom
Andy Nealen United States
Philip Bontrager United States
Raluca D. Gaina United Kingdom
Angelo E. M. Ciarlini Brazil
Broderick Arneson Canada
Steve Dahlskog Sweden
Rudolf Kadlec Czechia
Hilmar Finnsson Iceland
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Citations per field
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Chong-U Lim · 1×
Citations per year

Countries citing papers authored by Sam Earle

Since Specialization
Citations

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

Fields of papers citing papers by Sam Earle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Sam Earle, 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 Sam Earle Line = papers co-authored together Sam Earle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

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About Sam Earle

Sam Earle is a scholar working on Artificial Intelligence, Computer Graphics and Computer-Aided Design, Developmental and Educational Psychology, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 269 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (13 papers), Topic Modeling (6 papers), Reinforcement Learning in Robotics (6 papers), Digital Games and Media (6 papers), Natural Language Processing Techniques (4 papers), Educational Games and Gamification (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (186 citations), Health Informatics (6 citations), Computer Vision and Pattern Recognition (67 citations), Computer Graphics and Computer-Aided Design (11 citations) and Developmental and Educational Psychology (34 citations). Sam Earle has collaborated with scholars based in United States, Malta and South Africa. Frequent co-authors include Julian Togelius, Michael Cerny Green, Ahmed Khalifa, Philip Bontrager, Antonios Liapis, Georgios N. Yannakakis, Steven James, Christopher W. Cleghorn, Matthew C. Fontaine and Stefanos Nikolaidis. Their work appears in journals such as IEEE Transactions on Games, arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, Proceedings of the Genetic and Evolutionary Computation Conference and Genetic and evolutionary computation.

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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