Joel Chan

57 papers and 1.1k indexed citations i.

About

Joel Chan is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Mechanical Engineering. According to data from OpenAlex, Joel Chan has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 14 papers in Experimental and Cognitive Psychology and 13 papers in Mechanical Engineering. Recurrent topics in Joel Chan’s work include Design Education and Practice (13 papers), Creativity in Education and Neuroscience (13 papers) and Advanced Text Analysis Techniques (8 papers). Joel Chan is often cited by papers focused on Design Education and Practice (13 papers), Creativity in Education and Neuroscience (13 papers) and Advanced Text Analysis Techniques (8 papers). Joel Chan collaborates with scholars based in United States, Israel and Denmark. Joel Chan's co-authors include Christian D. Schunn, Jonathan Cagan, Kenneth Kotovsky, Katherine Fu, Kristin L. Wood, Steven P. Dow, Dafna Shahaf, Aniket Kittur, Susannah B. F. Paletz and Tom Hope and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLANT PHYSIOLOGY and Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Joel Chan i

Fields of papers citing papers by Joel Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joel Chan. 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 Joel Chan. The network helps show where Joel Chan may publish in the future.

Countries citing papers authored by Joel Chan

Since Specialization
Citations

This map shows the geographic impact of Joel Chan'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 Joel Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Chan 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.

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