Matthew Stephenson

511 citations
47 papers · 168 indexed · h-index 8
Topics
Artificial Intelligence in Games (27 papers)Reinforcement Learning in Robotics (12 papers)Digital Games and Media (11 papers)
Journals
SHILAP Revista de lepidopterologíaStrategic Management JournalInformation Sciences

In The Last Decade

Matthew Stephenson

38 papers receiving 164 citations

Peers

Matthew Stephenson
Comparison fields: 5 of 55
  • Artificial Intelligence 108
  • Sociology and Political Science 55
  • Computer Vision and Pattern Recognition 54
  • Control and Systems Engineering 20
  • Developmental and Educational Psychology 20
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Stephenson

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Stephenson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Stephenson

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Stephenson. A scholar is included among the top collaborators of Matthew Stephenson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Stephenson. Matthew Stephenson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 0
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6 1
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10
General Board Game Concepts
5
11 11
12
"Superstition" in the Network:Deep Reinforcement Learning Plays Deceptive Games
2
13
An Empirical Evaluation of Two General Game Systems: Ludii and RBG
3
14 1
15 14
16 1
17 3
18 8
19 16
20
A Semantically Motivated Gestural Interface for the Control of a Dynamic Range Compressor
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About Matthew Stephenson

Matthew Stephenson is a scholar working on Artificial Intelligence, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 168 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (27 papers), Reinforcement Learning in Robotics (12 papers) and Digital Games and Media (11 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (15 citations), Health Informatics (5 citations) and Artificial Intelligence (108 citations). Matthew Stephenson has collaborated with scholars based in Australia, Netherlands and United States. Frequent co-authors include Jochen Renz, Xiaoyu Ge, Cameron Browne, Éric Piette, Stephan Meier, Peng Zhang, Julian Togelius, Diego Pérez-Liébana, Raluca D. Gaina and Jody Freeman. Their work appears in journals such as SHILAP Revista de lepidopterología, Strategic Management Journal and Information Sciences.

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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