Matthew Goldrick

5.2k total citations
97 papers, 2.9k citations indexed

About

Matthew Goldrick is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Matthew Goldrick has authored 97 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cognitive Neuroscience, 52 papers in Experimental and Cognitive Psychology and 40 papers in Developmental and Educational Psychology. Recurrent topics in Matthew Goldrick's work include Neurobiology of Language and Bilingualism (51 papers), Phonetics and Phonology Research (46 papers) and Language Development and Disorders (29 papers). Matthew Goldrick is often cited by papers focused on Neurobiology of Language and Bilingualism (51 papers), Phonetics and Phonology Research (46 papers) and Language Development and Disorders (29 papers). Matthew Goldrick collaborates with scholars based in United States, Israel and Philippines. Matthew Goldrick's co-authors include Brenda Rapp, Melissa M. Baese‐Berk, Sheila E. Blumstein, Michele Miozzo, Victor S. Ferreira, Tamar H. Gollan, Paul Smolensky, Angela Fink, Jocelyn R. Folk and Meredith Larson and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Psychological Review.

In The Last Decade

Matthew Goldrick

94 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Goldrick United States 28 2.0k 1.5k 1.3k 665 421 97 2.9k
Niels O. Schiller Netherlands 36 3.3k 1.6× 2.5k 1.6× 1.5k 1.1× 326 0.5× 263 0.6× 164 4.2k
Anne Christophe France 31 1.0k 0.5× 2.0k 1.3× 1.3k 1.0× 444 0.7× 175 0.4× 80 2.9k
Sven L. Mattys United Kingdom 32 2.0k 1.0× 1.5k 1.0× 2.3k 1.7× 680 1.0× 418 1.0× 78 3.6k
Walter J. B. van Heuven United Kingdom 28 3.5k 1.8× 3.4k 2.2× 1.2k 0.9× 713 1.1× 172 0.4× 50 4.8k
Juan Seguí France 40 3.6k 1.8× 3.8k 2.5× 2.7k 2.0× 981 1.5× 566 1.3× 112 5.7k
Duáne G. Watson United States 23 1.0k 0.5× 785 0.5× 932 0.7× 412 0.6× 181 0.4× 54 1.7k
Gerald W. McRoberts United States 16 587 0.3× 1.2k 0.8× 1.4k 1.0× 371 0.6× 413 1.0× 21 2.1k
Falk Huettig Netherlands 33 2.8k 1.4× 2.1k 1.3× 2.0k 1.4× 521 0.8× 126 0.3× 128 4.0k
Betty Tuller United States 26 1.4k 0.7× 707 0.5× 1.3k 0.9× 536 0.8× 270 0.6× 73 2.5k
Petar Milin United Kingdom 14 1.1k 0.5× 936 0.6× 599 0.4× 445 0.7× 87 0.2× 57 1.8k

Countries citing papers authored by Matthew Goldrick

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Goldrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Goldrick

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

All Works

20 of 20 papers shown
1.
Keshet, Joseph, et al.. (2025). Predicting relative intelligibility from inter-talker distances in a perceptual similarity space for speech. Psychonomic Bulletin & Review. 32(4). 1664–1675. 1 indexed citations
2.
Goldrick, Matthew, et al.. (2025). Talker-specific perceptual adaptation to second-language speech-in-noise: Tuning-in to the talker while tuning-out the noise. The Journal of the Acoustical Society of America. 157(6). 4184–4195.
3.
Goldrick, Matthew, et al.. (2024). Syntax drives default language selection in bilingual connected speech production.. Journal of Experimental Psychology Learning Memory and Cognition. 51(6). 968–985.
4.
Keshet, Joseph, et al.. (2024). Automatic recognition of second language speech-in-noise. SHILAP Revista de lepidopterología. 4(2). 6 indexed citations
5.
Aly, Mariam, Eliana Colunga, Molly J. Crockett, et al.. (2023). Changing the culture of peer review for a more inclusive and equitable psychological science.. Journal of Experimental Psychology General. 152(12). 3546–3565. 8 indexed citations
6.
Smolensky, Paul, R. Thomas McCoy, Roland Fernandez, Matthew Goldrick, & Jianfeng Gao. (2022). Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems. AI Magazine. 43(3). 308–322. 27 indexed citations
7.
Aly, Mariam, Eliana Colunga, Molly J. Crockett, et al.. (2022). Changing the Culture of Peer Review for a More Inclusive and Equitable Psychological Science. PsyArXiv (OSF Preprints). 3 indexed citations
8.
Cowan, Henry R., et al.. (2021). Automated coherence measures fail to index thought disorder in individuals at risk for psychosis. 129–150. 8 indexed citations
9.
Mittal, Vijay A., et al.. (2020). Understanding Language Abnormalities and Associated Clinical Markers in Psychosis: The Promise of Computational Methods. Schizophrenia Bulletin. 47(2). 344–362. 51 indexed citations
10.
Smolensky, Paul, Eric Rosen, & Matthew Goldrick. (2020). Learning a gradient grammar of French liaison. Proceedings of the Annual Meetings on Phonology. 8. 8 indexed citations
11.
Goldrick, Matthew, et al.. (2018). The influence of lexical selection disruptions on articulation.. Journal of Experimental Psychology Learning Memory and Cognition. 45(6). 1107–1141. 14 indexed citations
12.
Gollan, Tamar H. & Matthew Goldrick. (2018). Aging deficits in naturalistic speech production and monitoring revealed through reading aloud.. Psychology and Aging. 34(1). 25–42. 25 indexed citations
13.
Goldrick, Matthew, et al.. (2016). Automatic analysis of slips of the tongue: Insights into the cognitive architecture of speech production. Cognition. 149. 31–39. 21 indexed citations
14.
Goldrick, Matthew, et al.. (2015). Learning non-native phonotactic constraints over the web.. ICPhS. 3 indexed citations
15.
Goldrick, Matthew, Victor S. Ferreira, & Michele Miozzo. (2014). The Oxford Handbook of Language Production. Oxford University Press eBooks. 239 indexed citations
16.
Goldrick, Matthew, et al.. (2011). Interaction and representational integration: Evidence from speech errors. Cognition. 121(1). 58–72. 45 indexed citations
17.
Goldrick, Matthew & Meredith Larson. (2007). Phonotactic probability influences speech production. Cognition. 107(3). 1155–1164. 55 indexed citations
18.
Rapp, Brenda & Matthew Goldrick. (2004). Feedback by Any Other Name Is Still Interactivity: A Reply to Roelofs (2004).. Psychological Review. 111(2). 573–578. 21 indexed citations
19.
Goldrick, Matthew & Brenda Rapp. (2001). What makes a good neighbor? Evidence from malapropisms. Brain and Language. 79(1). 141–143. 2 indexed citations
20.
Rapp, Brenda & Matthew Goldrick. (2000). Discreteness and interactivity in spoken word production.. Psychological Review. 107(3). 460–499. 411 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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