R. Michael Young

5.0k total citations
133 papers, 2.6k citations indexed

About

R. Michael Young is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, R. Michael Young has authored 133 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Artificial Intelligence, 39 papers in Sociology and Political Science and 26 papers in Computer Vision and Pattern Recognition. Recurrent topics in R. Michael Young's work include Artificial Intelligence in Games (78 papers), Digital Games and Media (37 papers) and Video Analysis and Summarization (21 papers). R. Michael Young is often cited by papers focused on Artificial Intelligence in Games (78 papers), Digital Games and Media (37 papers) and Video Analysis and Summarization (21 papers). R. Michael Young collaborates with scholars based in United States, United Kingdom and Denmark. R. Michael Young's co-authors include Mark Riedl, Anthony Tang, Shirley Wong, Simon M. Lucas, Arnav Jhala, Johanna D. Moore, Stephen G. Ware, Martha E. Pollack, Yun-Gyung Cheong and Richard J. Martin and has published in prestigious journals such as Nature, Journal of Molecular Biology and Journal of Bacteriology.

In The Last Decade

R. Michael Young

124 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R. Michael Young United States 25 1.7k 1.1k 696 418 262 133 2.6k
Mark Riedl United States 30 2.5k 1.5× 807 0.8× 877 1.3× 406 1.0× 484 1.8× 157 3.2k
Joseph Bates United States 10 852 0.5× 239 0.2× 269 0.4× 333 0.8× 117 0.4× 17 1.3k
Mervyn Jack United Kingdom 19 931 0.5× 310 0.3× 206 0.3× 74 0.2× 63 0.2× 87 2.0k
Kostas Karpouzis Greece 22 399 0.2× 627 0.6× 196 0.3× 146 0.3× 343 1.3× 126 1.8k
Oliviero Stock Italy 25 820 0.5× 595 0.6× 258 0.4× 64 0.2× 130 0.5× 139 2.0k
Bradford Mott United States 24 789 0.5× 156 0.1× 246 0.4× 56 0.1× 1.0k 3.9× 140 2.0k
Alexander I. Rudnicky United States 31 3.0k 1.7× 444 0.4× 73 0.1× 103 0.2× 196 0.7× 204 3.9k
Walter Bender United States 18 394 0.2× 2.7k 2.5× 177 0.3× 26 0.1× 158 0.6× 56 3.5k
Matthew Stone United States 26 1.2k 0.7× 608 0.6× 61 0.1× 385 0.9× 198 0.8× 106 2.4k
Gillian Smith United States 21 937 0.5× 440 0.4× 640 0.9× 108 0.3× 456 1.7× 70 1.3k

Countries citing papers authored by R. Michael Young

Since Specialization
Citations

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

Fields of papers citing papers by R. Michael Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Michael Young. 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 R. Michael Young. The network helps show where R. Michael Young may publish in the future.

Co-authorship network of co-authors of R. Michael Young

This figure shows the co-authorship network connecting the top 25 collaborators of R. Michael Young. A scholar is included among the top collaborators of R. Michael Young 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 R. Michael Young. R. Michael Young 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
1.
Young, R. Michael, et al.. (2018). Perceptual Experience Management. IEEE Transactions on Games. 11(1). 15–24. 10 indexed citations
2.
Young, R. Michael, et al.. (2017). Generating Stories that Include Failed Actions by Modeling False Character Beliefs. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13(2). 244–251. 11 indexed citations
3.
Young, R. Michael. (2017). Sketching a Generative Model of Intention Management for Characters in Stories: Adding Intention Management to a Belief-Driven Story Planning Algorithm. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13(2). 281–288. 4 indexed citations
4.
Potts, Colin, et al.. (2015). A Tripartite Plan-Based Model of Narrative for Narrative Discourse Generation. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 11(4). 2–8. 4 indexed citations
5.
Cardona-Rivera, Rogelio E. & R. Michael Young. (2014). A Cognitivist Theory of Affordances for Games. 12 indexed citations
6.
Cardona-Rivera, Rogelio E., et al.. (2014). Foreseeing Meaningful Choices. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10(1). 9–15. 15 indexed citations
7.
Young, R. Michael, et al.. (2014). Gameplay as On-Line Mediation Search. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10(3). 42–48. 8 indexed citations
8.
Ware, Stephen G. & R. Michael Young. (2014). Glaive: A State-Space Narrative Planner Supporting Intentionality and Conflict. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10(1). 80–86. 50 indexed citations
9.
Cardona-Rivera, Rogelio E. & R. Michael Young. (2014). Games as Conversation. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10(4). 2–8. 1 indexed citations
10.
Sturtevant, Nathan, Jeff Orkin, Michael Cook, et al.. (2014). Playable Experiences at AIIDE 2014. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10(1). 203–210. 3 indexed citations
11.
Finlayson, Mark A., Dedre Gentner, Richard J. Gerrig, et al.. (2013). Computational and Cognitive Aspects of Narrative. Cognitive Science. 35(35). 81–82. 1 indexed citations
12.
Young, R. Michael, et al.. (2013). Modelling Character Knowledge in Plan-Based Interactive Narrative to Extend Accomodative Mediation. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 9(4). 93–96. 5 indexed citations
13.
Young, R. Michael, et al.. (2009). A Computational Model of Inferencing in Narrative. National Conference on Artificial Intelligence. 83–90. 13 indexed citations
14.
Jhala, Arnav & R. Michael Young. (2006). Representational Requirements for a Plan Based Approach to Automated Camera Control. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 2(1). 36–41. 7 indexed citations
15.
Riedl, Mark & R. Michael Young. (2005). Open-world planning for story generation. International Joint Conference on Artificial Intelligence. 72(21). 1719–1720. 21 indexed citations
16.
Jhala, Arnav & R. Michael Young. (2005). A discourse planning approach to cinematic camera control for narratives in virtual environments. National Conference on Artificial Intelligence. 307–312. 26 indexed citations
17.
Wurman, Peter R., et al.. (2004). Experiments with Planning and Markets in Multiagent Systems. Adaptive Agents and Multi-Agents Systems. 1346–1347. 1 indexed citations
18.
Young, R. Michael, et al.. (2004). Comparing cognitive and computational models of narrative structure. National Conference on Artificial Intelligence. 385–390. 29 indexed citations
19.
Young, R. Michael & J. Whittington. (1993). Using a knowledge analysis to predict conceptual errors in text-editor usage. MIT Press eBooks. 1190–1196. 1 indexed citations
20.
Young, R. Michael. (1974). An Extension of the Hausdorff-Young Theorem. Proceedings of the American Mathematical Society. 45(2). 235–235. 1 indexed citations

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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