Computers and Education Artificial Intelligence

403 papers and 9.7k indexed citations i.

About

The 403 papers published in Computers and Education Artificial Intelligence in the last decades have received a total of 9.7k indexed citations. Papers published in Computers and Education Artificial Intelligence usually cover Computer Science Applications (246 papers), Artificial Intelligence (209 papers) and Developmental and Educational Psychology (86 papers) specifically the topics of Online Learning and Analytics (227 papers), Artificial Intelligence in Healthcare and Education (74 papers) and Intelligent Tutoring Systems and Adaptive Learning (63 papers). The most active scholars publishing in Computers and Education Artificial Intelligence are Gwo‐Jen Hwang, Dragan Gašević, Haoran Xie, Davy Tsz Kit Ng, Thomas K. F. Chiu, Weipeng Yang, Samuel Kai Wah Chu, Jiahong Su, Abejide Ade-Ibijola and Chinedu Wilfred Okonkwo.

In The Last Decade

Fields of papers published in Computers and Education Artificial Intelligence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computers and Education Artificial Intelligence. 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 Computers and Education Artificial Intelligence.

Countries where authors publish in Computers and Education Artificial Intelligence

Since Specialization
Citations

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