Brian Magerko

5.0k total citations · 1 hit paper
132 papers, 2.8k citations indexed

About

Brian Magerko is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Human-Computer Interaction. According to data from OpenAlex, Brian Magerko has authored 132 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 34 papers in Developmental and Educational Psychology and 33 papers in Human-Computer Interaction. Recurrent topics in Brian Magerko's work include Artificial Intelligence in Games (31 papers), Human Motion and Animation (26 papers) and Innovative Human-Technology Interaction (26 papers). Brian Magerko is often cited by papers focused on Artificial Intelligence in Games (31 papers), Human Motion and Animation (26 papers) and Innovative Human-Technology Interaction (26 papers). Brian Magerko collaborates with scholars based in United States, United Kingdom and Chile. Brian Magerko's co-authors include Duri Long, Jason Freeman, Tom McKlin, Ben Medler, Nicholas Davis, Chih-Pin Hsiao, Carrie Heeter, John E. Laird, Yu-Hao Lee and Daniel Fuller and has published in prestigious journals such as Communications of the ACM, Computer and Cyberpsychology Behavior and Social Networking.

In The Last Decade

Brian Magerko

127 papers receiving 2.6k citations

Hit Papers

What is AI Literacy? Competencies and Design Considerations 2020 2026 2022 2024 2020 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. What is AI Literacy? Competencies and Design Considerations
    2020 992 citations Duri Long, Brian Magerko profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Magerko United States 24 933 789 540 475 378 132 2.8k
Maria Virvou Greece 27 972 1.0× 1.7k 2.2× 977 1.8× 257 0.5× 201 0.5× 288 3.5k
Andrés Monroy‐Hernández United States 18 2.0k 2.1× 547 0.7× 918 1.7× 543 1.1× 165 0.4× 84 3.9k
Ronghuai Huang China 33 1.2k 1.3× 846 1.1× 776 1.4× 342 0.7× 202 0.5× 200 4.6k
Steven P. Dow United States 33 1.3k 1.3× 605 0.8× 338 0.6× 1.1k 2.4× 93 0.2× 142 3.7k
Kshitij Sharma Norway 28 849 0.9× 661 0.8× 787 1.5× 406 0.9× 63 0.2× 115 2.7k
Rosemary Luckin United Kingdom 26 975 1.0× 561 0.7× 787 1.5× 414 0.9× 135 0.4× 94 3.1k
Walter S. Lasecki United States 27 1.2k 1.3× 1.1k 1.4× 178 0.3× 365 0.8× 241 0.6× 113 2.6k
Fred Martin United States 21 1.9k 2.0× 324 0.4× 712 1.3× 519 1.1× 177 0.5× 114 3.1k
Juho Kim South Korea 25 1.4k 1.5× 724 0.9× 403 0.7× 367 0.8× 75 0.2× 184 3.4k
Morris Siu–Yung Jong Hong Kong 34 1.2k 1.3× 608 0.8× 1.1k 2.0× 590 1.2× 201 0.5× 139 4.0k

Countries citing papers authored by Brian Magerko

Since Specialization
Citations

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

Fields of papers citing papers by Brian Magerko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Magerko

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Magerko. A scholar is included among the top collaborators of Brian Magerko 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 Brian Magerko. Brian Magerko 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.
2.
Magerko, Brian, et al.. (2024). Fostering AI Literacy with LuminAI through Embodiment and Creativity in Informal Learning Spaces. Creativity and Cognition. 476–481. 1 indexed citations
3.
Magerko, Brian, et al.. (2024). Redesigning EarSketch for Inclusive CS Education: A Participatory Design Approach. 720–724. 2 indexed citations
4.
Rahimi, Seyedahmad, et al.. (2024). An automated, unobtrusive, formative assessment of creativity in a computer science and music remixing learning environment.. Psychology of Aesthetics Creativity and the Arts.
5.
Knowlton, Andrea E., et al.. (2023). Observable Creative Sense-Making (OCSM): A Method For Quantifying Improvisational Co-Creative Interaction. Creativity and Cognition. 103–115. 3 indexed citations
6.
Long, Duri, Jessica Roberts, Brian Magerko, et al.. (2023). AI Literacy: Finding Common Threads between Education, Design, Policy, and Explainability. 1–6. 10 indexed citations
7.
Knowlton, Andrea E., et al.. (2023). AI Meets Holographic Pepper’s Ghost: A Co-Creative Public Dance Experience. Designing Interactive Systems Conference. 274–278. 2 indexed citations
8.
Long, Duri, et al.. (2020). Creativity Metrics for a Lead-and-Follow Dynamic in an Improvisational Dance Agent.. SMARTech Repository (Georgia Institute of Technology). 276–283. 1 indexed citations
9.
Smith, Jason, et al.. (2019). Towards a Hybrid Recommendation System for a Sound Library.. 10 indexed citations
10.
Magerko, Brian, et al.. (2017). Turn-Taking with Improvisational Co-Creative Agents. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13(1). 129–135. 7 indexed citations
11.
Long, Duri, et al.. (2017). The Shape of Story: A Semiotic Artistic Visualization of a Communal Storytelling Experience. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13(2). 204–211. 2 indexed citations
12.
Davis, Nicholas, et al.. (2016). Recognizing Actions in Motion Trajectories Using Deep Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 12(1). 211–217. 3 indexed citations
13.
Magerko, Brian, et al.. (2015). Interaction-based Authoring for Scalable Co-creative Agents. ICCC. 236–243. 12 indexed citations
14.
Zook, Alexander, et al.. (2014). Viewpoints AI: Procedurally Representing and Reasoning about Gestures. 16 indexed citations
15.
Magerko, Brian, et al.. (2013). A Conceptual Blending Approach to the Generation of Cognitive Scripts for Interactive Narrative. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 9(4). 44–50. 7 indexed citations
16.
Hodhod, Rania & Brian Magerko. (2012). Reaching Cognitive Consensus with Improvisational Agents. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 8(1). 14–19. 2 indexed citations
17.
Magerko, Brian, et al.. (2011). Shared Mental Models in Improvisational Digital Characters.. ICCC. 33–35. 3 indexed citations
18.
Magerko, Brian. (2007). A Comparative Analysis of Story Representations for Interactive Narrative Systems. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 3(1). 91–94. 6 indexed citations
19.
Magerko, Brian & Mark Riedl. (2007). Intelligent narrative technologies : Papers from the AAAI Fall Symposium. 2 indexed citations
20.
Magerko, Brian. (2005). Story Representation and Interactive Drama. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 1(1). 87–92. 29 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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