John Seely Brown

240 total papers · 55.4k total citations
131 papers, 31.3k citations indexed

About

John Seely Brown is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Sociology and Political Science. According to data from OpenAlex, John Seely Brown has authored 131 papers receiving a total of 31.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 11 papers in Developmental and Educational Psychology and 10 papers in Sociology and Political Science. Recurrent topics in John Seely Brown's work include Intelligent Tutoring Systems and Adaptive Learning (11 papers), AI-based Problem Solving and Planning (6 papers) and Innovative Teaching and Learning Methods (6 papers). John Seely Brown is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (11 papers), AI-based Problem Solving and Planning (6 papers) and Innovative Teaching and Learning Methods (6 papers). John Seely Brown collaborates with scholars based in United States, France and Colombia. 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, Douglas Thomas, Kurt VanLehn and John Hagel and has published in prestigious journals such as New England Journal of Medicine, Psychological Bulletin and Psychological Review.

In The Last Decade

John Seely Brown

120 papers receiving 25.5k citations

Hit Papers

Situated Cognition and th... 1978 2026 1994 2010 1989 1991 2001 1999 2000 2.5k 5.0k 7.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John Seely Brown 9.8k 6.9k 5.4k 4.4k 4.1k 131 31.3k
Paul Duguid 7.0k 0.7× 4.6k 0.7× 4.4k 0.8× 3.5k 0.8× 3.1k 0.8× 59 20.9k
Donald A. Schön 20.9k 2.1× 5.0k 0.7× 3.9k 0.7× 1.7k 0.4× 7.4k 1.8× 103 50.0k
Jean Lave 24.7k 2.5× 11.3k 1.6× 2.4k 0.4× 4.2k 1.0× 9.5k 2.3× 42 52.0k
Lee J. Cronbach 9.2k 0.9× 6.8k 1.0× 3.5k 0.7× 1.3k 0.3× 9.3k 2.3× 118 62.9k
Donald T. Campbell 8.1k 0.8× 5.7k 0.8× 3.1k 0.6× 1.7k 0.4× 13.8k 3.3× 175 57.8k
Eduardo Salas 3.3k 0.3× 3.7k 0.5× 3.5k 0.6× 5.2k 1.2× 5.1k 1.2× 514 41.0k
Robert K. Yin 13.3k 1.4× 3.4k 0.5× 17.1k 3.1× 3.8k 0.9× 14.4k 3.5× 95 74.2k
David Kolb 13.2k 1.3× 6.1k 0.9× 1.0k 0.2× 1.4k 0.3× 2.6k 0.6× 113 28.9k
Klaus Krippendorff 4.4k 0.4× 1.5k 0.2× 3.1k 0.6× 3.7k 0.8× 7.6k 1.8× 115 30.4k
Edwin A. Locke 5.6k 0.6× 4.5k 0.7× 5.8k 1.1× 3.0k 0.7× 8.9k 2.2× 265 58.1k

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of John Seely Brown. A scholar is included among the top collaborators of John Seely Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Seely Brown. John Seely Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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