Intelligence Unleashed: An argument for AI in Education

510 indexed citations

Abstract

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This paper, published in 2016, received 510 indexed citations. Written by Rosemary Luckin and W. Holmes covering the research area of . It is primarily cited by scholars working on Computer Science Applications (236 citations), Artificial Intelligence (171 citations) and Information Systems (108 citations). Published in Open Research Online (The Open University).

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Countries where authors are citing Intelligence Unleashed: An argument for AI in Education

Specialization
Citations

This map shows the geographic impact of Intelligence Unleashed: An argument for 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 Intelligence Unleashed: An argument for 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 Intelligence Unleashed: An argument for AI in Education more than expected).

Fields of papers citing Intelligence Unleashed: An argument for AI in Education

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Intelligence Unleashed: An argument for 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 Intelligence Unleashed: An argument for 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/w48491624.

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