Laura Gwilliams

1.4k total citations
28 papers, 476 citations indexed

About

Laura Gwilliams is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Laura Gwilliams has authored 28 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 12 papers in Developmental and Educational Psychology and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Laura Gwilliams's work include Neurobiology of Language and Bilingualism (15 papers), Reading and Literacy Development (10 papers) and Neural dynamics and brain function (8 papers). Laura Gwilliams is often cited by papers focused on Neurobiology of Language and Bilingualism (15 papers), Reading and Literacy Development (10 papers) and Neural dynamics and brain function (8 papers). Laura Gwilliams collaborates with scholars based in United States, United Arab Emirates and France. Laura Gwilliams's co-authors include Alec Marantz, David Poeppel, Jean-Rémi King, Tal Linzen, Stephen Politzer‐Ahles, Jason E. Chung, Kristin K. Sellers, Matthew K. Leonard, Edward F. Chang and Marleen Welkenhuysen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Laura Gwilliams

27 papers receiving 467 citations

Peers

Laura Gwilliams

DEP

ECP

CMN

Anna Chrabaszcz United States

Sung-Joo Lim United States

Julia Uddén Netherlands

Mathias Scharinger Germany

Annette Hohlfeld Germany

Han‐Gyol Yi United States

Robert Espesser France

Minna Vihla Finland

Claudia K. Friedrich Germany

Anna Chrabaszcz United States

Laura Gwilliams

200 ×0.5

154 ×1.1

DEP

126 ×1.0

ECP

36 ×0.7

19 ×0.4

CMN

Citations per year, relative to Laura Gwilliams Laura Gwilliams (= 1×) peers Anna Chrabaszcz

Countries citing papers authored by Laura Gwilliams

Since Specialization

Citations

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

Fields of papers citing papers by Laura Gwilliams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Gwilliams

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

Zhang, Yizhen, Matthew K. Leonard, Ilina Bhaya-Grossman, Laura Gwilliams, & Edward F. Chang. (2025). Human cortical dynamics of auditory word form encoding. Neuron. 114(1). 167–180.e6. 1 indexed citations

Gwilliams, Laura, Alec Marantz, David Poeppel, & Jean-Rémi King. (2025). Hierarchical dynamic coding coordinates speech comprehension in the human brain. Proceedings of the National Academy of Sciences. 122(42). e2422097122–e2422097122. 1 indexed citations

Bhaya-Grossman, Ilina, Matthew K. Leonard, Yizhen Zhang, et al.. (2025). Shared and language-specific phonological processing in the human temporal lobe. Nature. 649(8095). 140–151.

Gwilliams, Laura, et al.. (2024). Speech prosody enhances the neural processing of syntax. Communications Biology. 7(1). 748–748. 5 indexed citations

Gwilliams, Laura, et al.. (2024). Negation mitigates rather than inverts the neural representations of adjectives. PLoS Biology. 22(5). e3002622–e3002622. 5 indexed citations

Gwilliams, Laura, et al.. (2023). Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing. Scientific Data. 10(1). 862–862. 4 indexed citations

Gwilliams, Laura, Alec Marantz, David Poeppel, & Jean-Rémi King. (2023). Top-down information shapes lexical processing when listening to continuous speech. Language Cognition and Neuroscience. 39(8). 1045–1058. 7 indexed citations

Gwilliams, Laura, Jean-Rémi King, Alec Marantz, & David Poeppel. (2022). Neural dynamics of phoneme sequences reveal position-invariant code for content and order. Nature Communications. 13(1). 6606–6606. 45 indexed citations

Chung, Jason E., Kristin K. Sellers, Matthew K. Leonard, et al.. (2022). High-density single-unit human cortical recordings using the Neuropixels probe. Neuron. 110(15). 2409–2421.e3. 45 indexed citations

10.

Blanco-Elorrieta, Esti, Laura Gwilliams, Alec Marantz, & Liina Pylkkänen. (2021). Adaptation to mis-pronounced speech: evidence for a prefrontal-cortex repair mechanism. Scientific Reports. 11(1). 97–97. 8 indexed citations

11.

Iemi, Luca, Laura Gwilliams, Jason Samaha, et al.. (2021). Ongoing neural oscillations influence behavior and sensory representations by suppressing neuronal excitability. NeuroImage. 247. 118746–118746. 48 indexed citations

12.

Gwilliams, Laura & Jean-Rémi King. (2020). Recurrent processes support a cascade of hierarchical decisions. eLife. 9. 22 indexed citations

13.

Gwilliams, Laura. (2020). Hierarchical oscillators in speech comprehension: a commentary on Meyer, Sun, and Martin (2019). Language Cognition and Neuroscience. 35(9). 1114–1118. 5 indexed citations

14.

Gwilliams, Laura. (2019). How the brain composes morphemes into meaning. Philosophical Transactions of the Royal Society B Biological Sciences. 375(1791). 20190311–20190311. 19 indexed citations

15.

Gwilliams, Laura, Tal Linzen, David Poeppel, & Alec Marantz. (2018). In Spoken Word Recognition, the Future Predicts the Past. Journal of Neuroscience. 38(35). 7585–7599. 67 indexed citations

16.

Gwilliams, Laura & Alec Marantz. (2018). Morphological representations are extrapolated from morpho-syntactic rules. Neuropsychologia. 114. 77–87. 11 indexed citations

17.

Gwilliams, Laura, Gwyneth A. Lewis, & Alec Marantz. (2016). Functional characterisation of letter-specific responses in time, space and current polarity using magnetoencephalography. NeuroImage. 132. 320–333. 24 indexed citations

18.

Brodbeck, Christian, Laura Gwilliams, & Liina Pylkkänen. (2016). Language in Context: MEG Evidence for Modality-General and -Specific Responses to Reference Resolution. eNeuro. 3(6). ENEURO.0145–16.2016. 8 indexed citations

19.

Gwilliams, Laura, Philip J. Monahan, & Arthur G. Samuel. (2015). Sensitivity to morphological composition in spoken word recognition: Evidence from grammatical and lexical identification tasks.. Journal of Experimental Psychology Learning Memory and Cognition. 41(6). 1663–1674. 4 indexed citations

20.

Brodbeck, Christian, Laura Gwilliams, & Liina Pylkkänen. (2015). EEG can Track the Time Course of Successful Reference Resolution in Small Visual Worlds. Frontiers in Psychology. 6. 1787–1787. 7 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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