Phoebe Gaston

492 total citations
9 papers, 267 citations indexed

About

Phoebe Gaston is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Phoebe Gaston has authored 9 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 3 papers in Developmental and Educational Psychology and 2 papers in Artificial Intelligence. Recurrent topics in Phoebe Gaston's work include Neural dynamics and brain function (5 papers), Neuroscience and Music Perception (5 papers) and Neurobiology of Language and Bilingualism (5 papers). Phoebe Gaston is often cited by papers focused on Neural dynamics and brain function (5 papers), Neuroscience and Music Perception (5 papers) and Neurobiology of Language and Bilingualism (5 papers). Phoebe Gaston collaborates with scholars based in United States, Spain and Germany. Phoebe Gaston's co-authors include Lars Meyer, Angela D. Friederici, Molly J. Henry, Maren Grigutsch, Ellen Lau, William Matchin, Christian Brodbeck, Alec Marantz, Proloy Das and Marlies Gillis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cerebral Cortex and Cognition.

In The Last Decade

Phoebe Gaston

9 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phoebe Gaston United States 7 245 77 67 25 19 9 267
Antje Strauß Germany 7 268 1.1× 51 0.7× 109 1.6× 21 0.8× 16 0.8× 15 295
Corinna Bonhage Germany 5 248 1.0× 61 0.8× 61 0.9× 66 2.6× 7 0.4× 6 283
Andreas Mädebach Germany 11 257 1.0× 145 1.9× 149 2.2× 29 1.2× 21 1.1× 28 307
Nietzsche H. L. Lam Netherlands 7 252 1.0× 102 1.3× 44 0.7× 38 1.5× 20 1.1× 7 299
Efthymia C. Kapnoula United States 12 281 1.1× 171 2.2× 210 3.1× 12 0.5× 33 1.7× 24 394
Salomi S. Asaridou United States 9 153 0.6× 100 1.3× 54 0.8× 22 0.9× 9 0.5× 14 229
Yanan Sun Australia 8 249 1.0× 55 0.7× 126 1.9× 16 0.6× 6 0.3× 15 280
Lori B. Astheimer United States 8 249 1.0× 154 2.0× 93 1.4× 11 0.4× 36 1.9× 8 296
Perrine Brusini United Kingdom 10 182 0.7× 187 2.4× 49 0.7× 14 0.6× 19 1.0× 22 311
Sophie Nolden Germany 12 336 1.4× 25 0.3× 89 1.3× 62 2.5× 8 0.4× 27 355

Countries citing papers authored by Phoebe Gaston

Since Specialization
Citations

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

Fields of papers citing papers by Phoebe Gaston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phoebe Gaston

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

All Works

9 of 9 papers shown
1.
Luthra, Sahil, et al.. (2024). Resolving competing predictions in speech: How qualitatively different cues and cue reliability contribute to phoneme identification. Attention Perception & Psychophysics. 86(3). 942–961. 1 indexed citations
2.
Magnuson, James S., et al.. (2023). Contra assertions, feedback improves word recognition: How feedback and lateral inhibition sharpen signals over noise. Cognition. 242. 105661–105661. 6 indexed citations
3.
Brodbeck, Christian, Proloy Das, Marlies Gillis, et al.. (2023). Eelbrain, a Python toolkit for time-continuous analysis with temporal response functions. eLife. 12. 39 indexed citations
4.
Gaston, Phoebe, Christian Brodbeck, Colin Phillips, & Ellen Lau. (2022). Auditory Word Comprehension Is Less Incremental in Isolated Words. SHILAP Revista de lepidopterología. 4(1). 29–52. 7 indexed citations
5.
Gaston, Phoebe, et al.. (2021). Memory for affixes in a long-lag priming paradigm. Glossa a journal of general linguistics. 6(1). 3 indexed citations
6.
Matchin, William, et al.. (2019). Same words, different structures: An fMRI investigation of argument relations and the angular gyrus. Neuropsychologia. 125. 116–128. 35 indexed citations
7.
Gaston, Phoebe & Alec Marantz. (2017). The time course of contextual cohort effects in auditory processing of category-ambiguous words: MEG evidence for a single “clash” as noun or verb. Language Cognition and Neuroscience. 33(4). 402–423. 10 indexed citations
8.
Meyer, Lars, et al.. (2016). Linguistic Bias Modulates Interpretation of Speech via Neural Delta-Band Oscillations. Cerebral Cortex. 27(9). 4293–4302. 101 indexed citations
9.
Meyer, Lars, et al.. (2015). Frontal–posterior theta oscillations reflect memory retrieval during sentence comprehension. Cortex. 71. 205–218. 65 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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