State of the art and practice in AI in education

294 indexed citations

Abstract

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About

This paper, published in 2022, received 294 indexed citations. Written by W. Holmes and Ilkka Tuomi covering the research area of Computer Science Applications and Artificial Intelligence. It is primarily cited by scholars working on Computer Science Applications (135 citations), Artificial Intelligence (111 citations) and Health Informatics (70 citations). Published in European Journal of Education.

Countries where authors are citing State of the art and practice in AI in education

Specialization
Citations

This map shows the geographic impact of State of the art and practice in AI in education. 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 State of the art and practice in AI in education with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites State of the art and practice in AI in education more than expected).

Fields of papers citing State of the art and practice in AI in education

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of State of the art and practice in AI in education. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the State of the art and practice in AI in education.

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.

This paper is also available at doi.org/10.1111/ejed.12533.

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