Matthew Hays

54 total papers · 902 total citations
21 papers, 583 citations indexed

About

Matthew Hays is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Education. According to data from OpenAlex, Matthew Hays has authored 21 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 6 papers in Artificial Intelligence and 5 papers in Education. Recurrent topics in Matthew Hays's work include Intelligent Tutoring Systems and Adaptive Learning (5 papers), Memory Processes and Influences (4 papers) and Visual and Cognitive Learning Processes (3 papers). Matthew Hays is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (5 papers), Memory Processes and Influences (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, Mark G. Core, H. Chad Lane, Jason R. Finley, Aaron S. Benjamin, Linda Gray, Robert M. Vandemark, Richard E. Clark and Teresa King and has published in prestigious journals such as PEDIATRICS, Journal of Educational Psychology and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Matthew Hays

16 papers receiving 546 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew Hays 308 226 203 139 129 21 583
Jason R. Finley 355 1.2× 245 1.1× 138 0.7× 194 1.4× 94 0.7× 28 639
Jeri L. Little 299 1.0× 289 1.3× 194 1.0× 123 0.9× 167 1.3× 23 581
William R. Aue 374 1.2× 217 1.0× 143 0.7× 128 0.9× 68 0.5× 14 540
Jennifer A. McCabe 178 0.6× 270 1.2× 57 0.3× 184 1.3× 209 1.6× 30 622
NarayanKripa Sundararajan 147 0.5× 261 1.2× 117 0.6× 176 1.3× 196 1.5× 9 503
Marissa K. Hartwig 201 0.7× 419 1.9× 135 0.7× 238 1.7× 249 1.9× 15 669
Phillip J. Grimaldi 222 0.7× 169 0.7× 172 0.8× 125 0.9× 119 0.9× 14 500
Melody Wiseheart 360 1.2× 271 1.2× 59 0.3× 121 0.9× 95 0.7× 23 641
Melissa Lehman 452 1.5× 224 1.0× 191 0.9× 156 1.1× 60 0.5× 12 578
Greg Perfetto 119 0.4× 228 1.0× 62 0.3× 128 0.9× 150 1.2× 14 496

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).

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.

Co-authorship network of co-authors of Matthew Hays

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Hays. A scholar is included among the top collaborators of Matthew Hays 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 Matthew Hays. Matthew Hays 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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