IEEE Transactions on Learning Technologies

896 papers and 16.0k indexed citations
i
.

About

The 896 papers published in IEEE Transactions on Learning Technologies in the last decades have received a total of 16.0k indexed citations. Papers published in IEEE Transactions on Learning Technologies usually cover Computer Science Applications (377 papers), Artificial Intelligence (303 papers) and Developmental and Educational Psychology (280 papers) specifically the topics of Online Learning and Analytics (283 papers), Innovative Teaching and Learning Methods (190 papers) and Intelligent Tutoring Systems and Adaptive Learning (151 papers). The most active scholars publishing in IEEE Transactions on Learning Technologies are Abelardo Pardo, Dragan Gašević, Carlos Delgado Kloos, Katrien Verbert, Michail N. Giannakos, Julita Vassileva, Katerina Mangaroska, Pierre Dillenbourg, Teemu H. Laine and Jelena Jovanović.

In The Last Decade

Fields of papers published in IEEE Transactions on Learning Technologies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE Transactions on Learning Technologies. 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 IEEE Transactions on Learning Technologies.

Countries where authors publish in IEEE Transactions on Learning Technologies

Since Specialization
Citations

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

Explore journals with similar magnitude of impact

Rankless by CCL
2026