Jay Elkerton

19 papers and 197 indexed citations i.

About

Jay Elkerton is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Jay Elkerton has authored 19 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Developmental and Educational Psychology and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Jay Elkerton’s work include Visual and Cognitive Learning Processes (4 papers), Usability and User Interface Design (4 papers) and Intelligent Tutoring Systems and Adaptive Learning (4 papers). Jay Elkerton is often cited by papers focused on Visual and Cognitive Learning Processes (4 papers), Usability and User Interface Design (4 papers) and Intelligent Tutoring Systems and Adaptive Learning (4 papers). Jay Elkerton collaborates with scholars based in United States and Canada. Jay Elkerton's co-authors include Robert C. Williges, Patricia Baggett, Dennis Beck, Yiwen Xu, Aaron D. Ward, J. Geoffrey Pickering, Steven Goldstein, Marc L. Resnick, James A. Pittman and John Roach and has published in prestigious journals such as Human Factors The Journal of the Human Factors and Ergonomics Society, Human-Computer Interaction and Journal of Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Jay Elkerton i

Fields of papers citing papers by Jay Elkerton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jay Elkerton

Since Specialization
Citations

This map shows the geographic impact of Jay Elkerton'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 Jay Elkerton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Elkerton 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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2025