TechTrends

1.9k papers and 20.2k indexed citations i.

About

The 1.9k papers published in TechTrends in the last decades have received a total of 20.2k indexed citations. Papers published in TechTrends usually cover Education (778 papers), Developmental and Educational Psychology (373 papers) and Computer Science Applications (298 papers) specifically the topics of Online and Blended Learning (410 papers), Innovative Teaching and Learning Methods (247 papers) and Online Learning and Analytics (144 papers). The most active scholars publishing in TechTrends are Richard E. Clark, Jacob Enfield, Stefan Hrastinski, Punya Mishra, Aman Yadav, Yu‐Chang Hsu, Yu‐Hui Ching, Danah Henriksen, Shane Dawson and Dragan Gašević.

In The Last Decade

Fields of papers published in TechTrends

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in TechTrends. 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 TechTrends.

Countries where authors publish in TechTrends

Since Specialization
Citations

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