Ben Samuel

639 citations
39 papers · 495 · h-index 13

Impact in

Papers in

Ben Samuel

33 papers receiving 457 citations

Peers

Ben Samuel
Comparison fields: 5 of 51
  • Artificial Intelligence 400
  • Developmental and Educational Psychology 112
  • Sociology and Political Science 285
  • Human-Computer Interaction 27
  • Computer Vision and Pattern Recognition 93
Replace Mike Treanor with:
Mike Treanor United States
David Thue Canada
Federico Peinado Spain
Edirlei Soares de Lima Brazil
Joris Dormans Netherlands
Chris Martens United States
Stephen Lee-Urban United States
Erica Kleinman United States
Rogelio E. Cardona-Rivera United States
Isabel Machado Portugal
Ben Samuel relative to Mike Treanor United States Mike Treanor's profile →
Citations per field
00.5×1.6×
Mike Treanor · 1×
Citations per year

Countries citing papers authored by Ben Samuel

Since Specialization
Citations

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

Fields of papers citing papers by Ben Samuel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ben Samuel, 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 Ben Samuel Line = papers co-authored together Ben Samuel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201150
2 201450
3 201143
4 201236
5 201035
6
Prom Week: Designing past the game/story dilemma.
201332
7 201627
8 201927
9 201627
10 201122
11 201921
12 201818
13 201314
14 201113
15 201511
16 201811
17 20108
18 20137
19 20167
20 20155

About Ben Samuel

Ben Samuel is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Sociology and Political Science, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 39 papers that have together received 495 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (24 papers), Digital Games and Media (19 papers), Educational Games and Gamification (10 papers), Human Motion and Animation (5 papers), Data Visualization and Analytics (4 papers), Social Robot Interaction and HRI (3 papers), Topic Modeling (3 papers) and Multi-Agent Systems and Negotiation (2 papers). The work is most often cited by research in Artificial Intelligence (400 citations), Developmental and Educational Psychology (112 citations), Sociology and Political Science (285 citations), Human-Computer Interaction (27 citations) and Computer Vision and Pattern Recognition (93 citations). Ben Samuel has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Noah Wardrip–Fruin, Michael Mateas, Mike Treanor, Adam Summerville, Max Kreminski, Edward Franklin Melcer, Joseph Osborn, B. Bharathi, James M Ryan and Anne M. Sullivan. Their work appears in journals such as IEEE Transactions on Computational Intelligence and AI in Games, Bioethics, Australian & New Zealand Journal of Psychiatry, Computer Standards & Interfaces and Lecture notes in computer science.

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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