Brian Magerko

58 papers and 414 indexed citations i.

About

Brian Magerko is a scholar working on Artificial Intelligence, Social Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Brian Magerko has authored 58 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 13 papers in Social Psychology and 13 papers in Developmental and Educational Psychology. Recurrent topics in Brian Magerko’s work include Artificial Intelligence in Games (20 papers), Human Motion and Animation (12 papers) and Teaching and Learning Programming (11 papers). Brian Magerko is often cited by papers focused on Artificial Intelligence in Games (20 papers), Human Motion and Animation (12 papers) and Teaching and Learning Programming (11 papers). Brian Magerko collaborates with scholars based in United States, United Kingdom and Italy. Brian Magerko's co-authors include Duri Long, Ben Medler, Carrie Heeter, John E. Laird, Yu-Hao Lee, Jason Freeman, Tom McKlin, Mark Riedl, Chih-Pin Hsiao 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

Co-authorship network of co-authors of Brian Magerko i

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.

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).

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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