Team-Based Learning: A Transformative use of Small Groups in College Teaching

688 indexed citations
published 2004
Authors
Larry K. MichaelsenL. Dee Fink

In The Last Decade

doi.org/w6581636 →

Countries where authors are citing Team-Based Learning: A Transformative use of Small Groups in College Teaching

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This map shows the geographic impact of Team-Based Learning: A Transformative use of Small Groups in College Teaching. 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 Team-Based Learning: A Transformative use of Small Groups in College Teaching with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Team-Based Learning: A Transformative use of Small Groups in College Teaching more than expected).

Fields of papers citing Team-Based Learning: A Transformative use of Small Groups in College Teaching

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Team-Based Learning: A Transformative use of Small Groups in College Teaching. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Team-Based Learning: A Transformative use of Small Groups in College Teaching.

About Team-Based Learning: A Transformative use of Small Groups in College Teaching

This paper, published in 2004, received 688 indexed citations . Written by Larry K. Michaelsen and L. Dee Fink. It is primarily cited by scholars working on Education (481 citations), Developmental and Educational Psychology (153 citations) and Public Health, Environmental and Occupational Health (127 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.

This paper is also available at doi.org/w6581636.

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