Is FLIP enough? Or should we use the FLIPPED model instead?

463 indexed citations

Abstract

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About

This paper, published in 2014, received 463 indexed citations. Written by Yu‐Ping Wang, Kinshuk Kinshuk and Nian‐Shing Chen covering the research area of Sociology and Political Science and Education. It is primarily cited by scholars working on Education (435 citations), Media Technology (155 citations) and Computer Science Applications (85 citations). Published in Computers & Education.

Countries where authors are citing Is FLIP enough? Or should we use the FLIPPED model instead?

Specialization
Citations

This map shows the geographic impact of Is FLIP enough? Or should we use the FLIPPED model instead?. 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 Is FLIP enough? Or should we use the FLIPPED model instead? with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Is FLIP enough? Or should we use the FLIPPED model instead? more than expected).

Fields of papers citing Is FLIP enough? Or should we use the FLIPPED model instead?

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Is FLIP enough? Or should we use the FLIPPED model instead?. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Is FLIP enough? Or should we use the FLIPPED model instead?.

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/10.1016/j.compedu.2014.07.004.

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