Brent Harrison

1.8k total citations
44 papers, 915 citations indexed

About

Brent Harrison is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Brent Harrison has authored 44 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 12 papers in Sociology and Political Science and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Brent Harrison's work include Artificial Intelligence in Games (17 papers), Digital Games and Media (12 papers) and Reinforcement Learning in Robotics (10 papers). Brent Harrison is often cited by papers focused on Artificial Intelligence in Games (17 papers), Digital Games and Media (12 papers) and Reinforcement Learning in Robotics (10 papers). Brent Harrison collaborates with scholars based in United States and Sweden. Brent Harrison's co-authors include Mark Riedl, David L. Roberts, Upol Ehsan, Larry Chan, Pradyumna Tambwekar, M. P. Zakrzewski, Kirsten Wilson, Xinyu Wang, Lara J. Martin and William S. Hancock and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of American College Health.

In The Last Decade

Brent Harrison

40 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brent Harrison United States	15	524	177	141	91	83	44	915
Anlan Zhang United States	12	175 0.3×	203 1.1×	144 1.0×	47 0.5×	105 1.3×	21	1.1k
Carl Vogel Ireland	15	411 0.8×	184 1.0×	124 0.9×	74 0.8×	18 0.2×	127	1.1k
Shaili Jain United States	17	239 0.5×	50 0.3×	59 0.4×	158 1.7×	66 0.8×	40	1.0k
Rafał Kocielnik United States	15	326 0.6×	118 0.7×	78 0.6×	84 0.9×	77 0.9×	39	992
Alistair Morrison United Kingdom	19	104 0.2×	242 1.4×	197 1.4×	230 2.5×	25 0.3×	63	1.7k
Dena Al‐Thani Qatar	15	153 0.3×	164 0.9×	40 0.3×	68 0.7×	63 0.8×	102	892
Maria Cutumisu Canada	22	214 0.4×	184 1.0×	39 0.3×	18 0.2×	21 0.3×	85	1.2k
Helena Webb United Kingdom	14	116 0.2×	223 1.3×	57 0.4×	77 0.8×	89 1.1×	65	728
Ian Dunwell United Kingdom	18	135 0.3×	264 1.5×	111 0.8×	65 0.7×	17 0.2×	60	1.2k

Countries citing papers authored by Brent Harrison

Since Specialization

Citations

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

Fields of papers citing papers by Brent Harrison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brent Harrison

This figure shows the co-authorship network connecting the top 25 collaborators of Brent Harrison. A scholar is included among the top collaborators of Brent Harrison 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 Brent Harrison. Brent Harrison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Riedl, Mark, et al.. (2024). Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior. IEEE Transactions on Artificial Intelligence. 5(7). 3350–3361. 1 indexed citations

Goldsmith, Judy, et al.. (2020). Decentralized Marriage Models.. The Florida AI Research Society. 213–216.

Harrison, Brent, et al.. (2020). Interactive Summarization for Data Filtering and Triage.. The Florida AI Research Society. 252–257. 1 indexed citations

Riedl, Mark & Brent Harrison. (2017). Enter the Matrix: A Virtual World Approach to Safely Interruptable Autonomous Systems.. arXiv (Cornell University). 2 indexed citations

Harrison, Brent, et al.. (2017). Toward Automated Story Generation with Markov Chain Monte Carlo Methods and Deep Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13(2). 191–197. 14 indexed citations

Harrison, Brent & Mark Riedl. (2016). Learning From Stories: Using Crowdsourced Narratives to Train Virtual Agents. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 12(1). 183–189. 4 indexed citations

Harrison, Brent & Mark Riedl. (2016). Towards Learning From Stories: An Approach to Interactive Machine Learning.. National Conference on Artificial Intelligence. 3 indexed citations

Harrison, Brent, et al.. (2016). Policy Shaping in Domains with Multiple Optimal Policies: (Extended Abstract). Adaptive Agents and Multi-Agents Systems. 1455–1456. 3 indexed citations

Harrison, Brent, et al.. (2016). Object-Focused Advice in Reinforcement Learning. Adaptive Agents and Multi-Agents Systems. 1447–1448. 2 indexed citations

10.

Riedl, Mark & Brent Harrison. (2016). Using Stories to Teach Human Values to Artificial Agents. National Conference on Artificial Intelligence. 29 indexed citations

11.

Guzdial, Matthew, Brent Harrison, Boyang Li, & Mark Riedl. (2015). Crowdsourcing Open Interactive Narrative.. Foundations of Digital Games. 13 indexed citations

12.

Zook, Alexander, Brent Harrison, & Mark Riedl. (2015). Monte-Carlo Tree Search for Simulation-based Play Strategy Analysis.. Foundations of Digital Games. 19 indexed citations

13.

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

14.

Harrison, Brent & David L. Roberts. (2014). Analytics-Driven Dynamic Game Adaption for Player Retention in a 2-Dimensional Adventure Game. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10(1). 23–29. 11 indexed citations

15.

Yang, Pu, Brent Harrison, & David L. Roberts. (2014). Identifying patterns in combat that are predictive of success in MOBA games.. Foundations of Digital Games. 60 indexed citations

16.

Harrison, Brent & David L. Roberts. (2012). A Review of Student Modeling Techniques in Intelligent Tutoring Systems. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 8(5). 61–66. 5 indexed citations

17.

Barik, Titus, Brent Harrison, David L. Roberts, & Xuxian Jiang. (2012). Spatial Game Signatures for Bot Detection in Social Games. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 8(1). 100–105. 5 indexed citations

18.

Harrison, Brent & David L. Roberts. (2012). When Players Quit (Playing Scrabble). Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 8(1). 154–159. 3 indexed citations

19.

Harrison, Brent, et al.. (2010). Improving the Performance of Bayesian Belief Network Classifiers via Decision Tree Based Feature Selection.. 49–56. 1 indexed citations

20.

Harrison, Brent, et al.. (2000). Identifying Male College Students' Perceived Health Needs, Barriers to Seeking Help, and Recommendations to Help Men Adopt Healthier Lifestyles. Journal of American College Health. 48(6). 259–267. 205 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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