Matthew Hays

12 papers and 472 indexed citations i.

About

Matthew Hays is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Matthew Hays has authored 12 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Cognitive Neuroscience and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Matthew Hays’s work include Memory Processes and Influences (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Visual and Cognitive Learning Processes (3 papers). Matthew Hays is often cited by papers focused on Memory Processes and Influences (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Visual and Cognitive Learning Processes (3 papers). Matthew Hays collaborates with scholars based in United States. Matthew Hays's co-authors include Robert A. Bjork, Nate Kornell, Aaron S. Benjamin, Jason R. Finley, H. Chad Lane, Mark G. Core, Linda Gray, Robert M. Vandemark, Steven R. Brown and Frances M. Russell and has published in prestigious journals such as Journal of Educational Psychology, Journal of Experimental Psychology Learning Memory and Cognition and Journal of Memory and Language.

In The Last Decade

Co-authorship network of co-authors of Matthew Hays i

Fields of papers citing papers by Matthew Hays

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthew Hays

Since Specialization
Citations

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