Matthew Dye

3.4k citations
42 papers · 2.2k · h-index 21

Impact in

Papers in

Matthew Dye

41 papers receiving 2.1k citations

Peers

Matthew Dye
Comparison fields: 5 of 108
  • Developmental and Educational Psychology 946
  • Experimental and Cognitive Psychology 852
  • Cognitive Neuroscience 1.2k
  • Human-Computer Interaction 256
  • Sensory Systems 65
Replace Karin H. James with:
Karin H. James United States
Sylvain Sirois United Kingdom
Jean Saint‐Aubin Canada
Matthew J. Hertenstein United States
Florian Hutzler Austria
Linda Pring United Kingdom
Frances H. Rauscher United States
Peter C. Hauser United States
Daniël Schreij Netherlands
Genevieve McArthur Australia
Matthew Dye relative to Karin H. James United States Karin H. James's profile →
Citations per field
00.5×1.7×
Karin H. James · 1×
Citations per year

Countries citing papers authored by Matthew Dye

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Dye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Dye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew Dye Line = papers co-authored together Matthew Dye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006374
2 2009360
3 2009322
4 2009170
5 2009119
6 2010113
7 200796
8 201375
9 201068
10 201541
11 201239
12 200333
13 200532
14 201430
15 200829
16 200625
17 201525
18 201724
19 200721
20 201921

About Matthew Dye

Matthew Dye is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hearing Impairment and Communication (18 papers), Tactile and Sensory Interactions (17 papers), Multisensory perception and integration (15 papers), Hand Gesture Recognition Systems (7 papers), Visual perception and processing mechanisms (7 papers), Neural and Behavioral Psychology Studies (5 papers), Cognitive Abilities and Testing (3 papers) and Face Recognition and Perception (3 papers). The work is most often cited by research in Developmental and Educational Psychology (946 citations), Experimental and Cognitive Psychology (852 citations), Cognitive Neuroscience (1.2k citations), Human-Computer Interaction (256 citations) and Sensory Systems (65 citations). Matthew Dye has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Daphné Bavelier, Peter C. Hauser, C. Shawn Green, David Bull, Dimitris K. Agrafiotis, Nishan Canagarajah, Ted Supalla, Elizabeth A. Hirshorn, Torrey M. Loucks and Junpeng Lao. Their work appears in journals such as The Journal of Deaf Studies and Deaf Education, Hearing Research, Journal of Vision, Vision Research and Neuropsychologia.

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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