Learning Media and Technology

About

The 749 papers published in Learning Media and Technology in the last decades have received a total of 22.0k indexed citations. Papers published in Learning Media and Technology usually cover Education (363 papers), Sociology and Political Science (274 papers) and Information Systems (157 papers) specifically the topics of Impact of Technology on Adolescents (131 papers), Literacy, Media, and Education (130 papers) and Child Development and Digital Technology (124 papers). The most active scholars publishing in Learning Media and Technology are Neil Selwyn, Ben Williamson, Rebecca Eynon, Martin Oliver, Adrian Kirkwood, Christine Greenhow, John Potter, Jeremy Knox, Linda Price and Siân Bayne.

In The Last Decade

Learning Media and Technology

691 papers receiving 19.6k citations

Countries where authors publish in Learning Media and Technology

Since Specialization
Citations

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

Fields of papers published in Learning Media and Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Learning Media and Technology. 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 Learning Media and Technology.

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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