John Seely Brown

93 papers and 24.1k indexed citations i.

About

John Seely Brown is a scholar working on Artificial Intelligence, Sociology and Political Science and Developmental and Educational Psychology. According to data from OpenAlex, John Seely Brown has authored 93 papers receiving a total of 24.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Sociology and Political Science and 8 papers in Developmental and Educational Psychology. Recurrent topics in John Seely Brown’s work include Intelligent Tutoring Systems and Adaptive Learning (7 papers), Educational Games and Gamification (5 papers) and AI-based Problem Solving and Planning (5 papers). John Seely Brown is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (7 papers), Educational Games and Gamification (5 papers) and AI-based Problem Solving and Planning (5 papers). John Seely Brown collaborates with scholars based in United States, France and Canada. John Seely Brown's co-authors include Paul Duguid, Allan Collins, S. D. Noam Cook, Richard R. Burton, Johan de Kleer, Alan Collins, Richard Adler, Kurt VanLehn, Douglas B. Lenat and Denise Dion and has published in prestigious journals such as New England Journal of Medicine, Psychological Bulletin and Psychological Review.

In The Last Decade

Co-authorship network of co-authors of John Seely Brown i

Fields of papers citing papers by John Seely Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Seely Brown. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Seely Brown. The network helps show where John Seely Brown may publish in the future.

Countries citing papers authored by John Seely Brown

Since Specialization
Citations

This map shows the geographic impact of John Seely Brown's research. 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 John Seely Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Seely Brown 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 authors with similar magnitude of impact

Rankless by CCL
2025