Smart Learning Environments

362 papers and 7.7k indexed citations i.

About

The 362 papers published in Smart Learning Environments in the last decades have received a total of 7.7k indexed citations. Papers published in Smart Learning Environments usually cover Computer Science Applications (150 papers), Education (130 papers) and Developmental and Educational Psychology (128 papers) specifically the topics of Online Learning and Analytics (114 papers), Innovative Teaching and Learning Methods (72 papers) and Online and Blended Learning (60 papers). The most active scholars publishing in Smart Learning Environments are J. Michael Spector, Gwo‐Jen Hwang, Ronghuai Huang, Mustafa Yağcı, Ahmed Tlili, Begoña Gros Salvat, Nawab Ali Khan, Daniel T. Hickey, Brighter Agyemang and Boulus Shehata.

In The Last Decade

Fields of papers published in Smart Learning Environments

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Smart Learning Environments. 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 Smart Learning Environments.

Countries where authors publish in Smart Learning Environments

Since Specialization
Citations

This map shows the geographic impact of research published in Smart Learning Environments. 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 Smart Learning Environments with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Smart Learning Environments 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
2025