Entertainment Computing

796 papers and 7.1k indexed citations
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About

The 796 papers published in Entertainment Computing in the last decades have received a total of 7.1k indexed citations. Papers published in Entertainment Computing usually cover Sociology and Political Science (270 papers), Developmental and Educational Psychology (222 papers) and Artificial Intelligence (203 papers) specifically the topics of Educational Games and Gamification (198 papers), Digital Games and Media (186 papers) and Artificial Intelligence in Games (106 papers). The most active scholars publishing in Entertainment Computing are Tim Marsh, Lennart E. Nacke, Thomas Connolly, Thomas Hainey, Elizabeth Boyle, Anton Nijholt, Letizia Jaccheri, Michail N. Giannakos, Chris Bateman and Sofia Papavlasopoulou.

In The Last Decade

Entertainment Computing

634 papers receiving 6.5k citations

Fields of papers published in Entertainment Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Entertainment Computing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Entertainment Computing.

Countries where authors publish in Entertainment Computing

Since Specialization
Citations

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

Empirical studies on the Maker Movement, a promising approach to learning: A literature review 2016 2026 2019 2022 160
  1. Empirical studies on the Maker Movement, a promising approach to learning: A literature review (2016)

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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