Matthew Dye

3.4k total citations
41 papers, 2.2k citations indexed

About

Matthew Dye is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Matthew Dye has authored 41 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 21 papers in Experimental and Cognitive Psychology and 20 papers in Developmental and Educational Psychology. Recurrent topics in Matthew Dye's work include Tactile and Sensory Interactions (17 papers), Hearing Impairment and Communication (17 papers) and Multisensory perception and integration (16 papers). Matthew Dye is often cited by papers focused on Tactile and Sensory Interactions (17 papers), Hearing Impairment and Communication (17 papers) and Multisensory perception and integration (16 papers). Matthew Dye collaborates with scholars based in United States, United Kingdom and Switzerland. Matthew Dye's co-authors include Daphné Bavelier, Peter C. Hauser, C. Shawn Green, Dimitris K. Agrafiotis, David Bull, Nishan Canagarajah, Ted Supalla, Elizabeth A. Hirshorn, Torrey M. Loucks and Olivier Pascalis and has published in prestigious journals such as Neuron, PLoS ONE and Trends in Cognitive Sciences.

In The Last Decade

Matthew Dye

41 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Matthew Dye United States	20	1.2k	988	918	259	257	41	2.2k
Matthew J. Hertenstein United States	16	1.1k 0.9×	650 0.7×	797 0.9×	150 0.6×	289 1.1×	23	2.8k
Sylvain Sirois United Kingdom	16	1.1k 0.9×	764 0.8×	440 0.5×	99 0.4×	153 0.6×	42	2.1k
Katarzyna Jednoróg Poland	26	1.8k 1.4×	803 0.8×	801 0.9×	163 0.6×	57 0.2×	82	2.7k
Mary M. Smyth United Kingdom	28	1.4k 1.2×	1.6k 1.6×	455 0.5×	294 1.1×	134 0.5×	65	3.3k
Sam Wass United Kingdom	26	1.6k 1.3×	666 0.7×	391 0.4×	476 1.8×	195 0.8×	89	2.8k
Peter C. Hauser United States	22	886 0.7×	1.2k 1.2×	496 0.5×	83 0.3×	338 1.3×	47	1.7k
Artur Marchewka Poland	28	1.8k 1.4×	544 0.6×	890 1.0×	81 0.3×	57 0.2×	107	2.9k
Karin H. James United States	26	1.1k 0.9×	1.1k 1.1×	486 0.5×	600 2.3×	158 0.6×	66	2.1k
María Cristina Caselli Italy	35	1.3k 1.1×	3.5k 3.5×	521 0.6×	175 0.7×	322 1.3×	93	4.2k
Kirsten Jordan Germany	21	735 0.6×	350 0.4×	434 0.5×	96 0.4×	92 0.4×	58	1.8k

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-authorship network of co-authors of Matthew Dye

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Dye. A scholar is included among the top collaborators of Matthew Dye 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 Dye. Matthew Dye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Dye, Matthew, et al.. (2024). Neurocognitive outcomes in young adults with cochlear implants: The role of early language access and crossmodal plasticity. Hearing Research. 451. 109074–109074. 3 indexed citations

Caselli, Naomi, et al.. (2022). Perceptual optimization of language: Evidence from American Sign Language. Cognition. 224. 105040–105040. 13 indexed citations

Dye, Matthew, et al.. (2022). Development of visual sustained selective attention and response inhibition in deaf children. Memory & Cognition. 51(3). 509–525. 5 indexed citations

Rodger, Helen, et al.. (2021). The recognition of facial expressions of emotion in deaf and hearing individuals. Heliyon. 7(5). e07018–e07018. 12 indexed citations

Low, Kathy A., Edward L. Maclin, Antonio Maria Chiarelli, et al.. (2016). Reorganization of neural systems mediating peripheral visual selective attention in the deaf: An optical imaging study. Hearing Research. 343. 162–175. 17 indexed citations

Hirshorn, Elizabeth A., Matthew Dye, Peter C. Hauser, Ted Supalla, & Daphné Bavelier. (2015). The contribution of phonological knowledge, memory, and language background to reading comprehension in deaf populations. Frontiers in Psychology. 6. 1153–1153. 39 indexed citations

Dye, Matthew. (2015). Foveal Processing Under Concurrent Peripheral Load in Profoundly Deaf Adults. The Journal of Deaf Studies and Deaf Education. 21(2). 122–128. 12 indexed citations

Dye, Matthew. (2014). Temporal entrainment of visual attention in children: Effects of age and deafness. Vision Research. 105. 29–36. 12 indexed citations

Hirshorn, Elizabeth A., Matthew Dye, Peter C. Hauser, Ted Supalla, & Daphné Bavelier. (2014). Neural networks mediating sentence reading in the deaf. Frontiers in Human Neuroscience. 8. 394–394. 12 indexed citations

10.

Dye, Matthew & Peter C. Hauser. (2013). Sustained attention, selective attention and cognitive control in deaf and hearing children. Hearing Research. 309. 94–102. 73 indexed citations

11.

Laasonen, Marja, Denis Cousineau, Sami Leppämäki, et al.. (2012). Project DyAdd: Visual attention in adult dyslexia and ADHD. Brain and Cognition. 80(3). 311–327. 39 indexed citations

12.

Bavelier, Daphné, C. Shawn Green, & Matthew Dye. (2010). Children, Wired: For Better and for Worse. Neuron. 67(5). 692–701. 112 indexed citations

13.

Dye, Matthew, Peter C. Hauser, & Daphné Bavelier. (2009). Is Visual Selective Attention in Deaf Individuals Enhanced or Deficient? The Case of the Useful Field of View. PLoS ONE. 4(5). e5640–e5640. 117 indexed citations

14.

Dye, Matthew & Daphné Bavelier. (2009). Differential development of visual attention skills in school-age children. Vision Research. 50(4). 452–459. 170 indexed citations

15.

Dye, Matthew, et al.. (2009). The development of attention skills in action video game players. Neuropsychologia. 47(8-9). 1780–1789. 321 indexed citations

16.

Dye, Matthew, Peter C. Hauser, & Daphné Bavelier. (2008). Visual Skills and Cross‐Modal Plasticity in Deaf Readers. Annals of the New York Academy of Sciences. 1145(1). 71–82. 28 indexed citations

17.

Dye, Matthew, et al.. (2007). Which aspects of visual attention are changed by deafness? The case of the Attentional Network Test. Neuropsychologia. 45(8). 1801–1811. 95 indexed citations

18.

Hauser, Peter C., et al.. (2007). Deafness and visual enumeration: Not all aspects of attention are modified by deafness. Brain Research. 1153. 178–187. 21 indexed citations

19.

Bavelier, Daphné, Matthew Dye, & Peter C. Hauser. (2006). Do deaf individuals see better?. Trends in Cognitive Sciences. 10(11). 512–518. 370 indexed citations

20.

Vigliocco, Gabriella, David Vinson, Tyron Woolfe, Matthew Dye, & Bencie Woll. (2005). Language and imagery: effects of language modality. Proceedings of the Royal Society B Biological Sciences. 272(1574). 1859–1863. 32 indexed citations

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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