Phillip M. Alday

1.4k total citations
34 papers, 692 citations indexed

About

Phillip M. Alday is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Phillip M. Alday has authored 34 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 10 papers in Experimental and Cognitive Psychology and 6 papers in Artificial Intelligence. Recurrent topics in Phillip M. Alday's work include Neurobiology of Language and Bilingualism (11 papers), EEG and Brain-Computer Interfaces (8 papers) and Neural dynamics and brain function (7 papers). Phillip M. Alday is often cited by papers focused on Neurobiology of Language and Bilingualism (11 papers), EEG and Brain-Computer Interfaces (8 papers) and Neural dynamics and brain function (7 papers). Phillip M. Alday collaborates with scholars based in Netherlands, Australia and Germany. Phillip M. Alday's co-authors include Ina Bornkessel‐Schlesewsky, Matthias Schlesewsky, Laurel Brehm, Andrew W. Corcoran, Jona Sassenhagen, Antje S. Meyer, Hans Rutger Bosker, Andrea E. Martin, Daniel Feuerriegel and Daniel Bennett and has published in prestigious journals such as Journal of Neuroscience, Psychological Review and Trends in Cognitive Sciences.

In The Last Decade

Phillip M. Alday

32 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phillip M. Alday Netherlands 15 535 198 185 83 77 34 692
Jona Sassenhagen Germany 13 703 1.3× 209 1.1× 245 1.3× 87 1.0× 60 0.8× 19 817
Susanne Reiterer Austria 21 740 1.4× 407 2.1× 255 1.4× 121 1.5× 37 0.5× 41 998
Giulia Galli United Kingdom 15 727 1.4× 166 0.8× 136 0.7× 60 0.7× 120 1.6× 37 887
Stéphanie Riès United States 16 624 1.2× 110 0.6× 262 1.4× 81 1.0× 28 0.4× 34 698
Alejandro Pérez Spain 14 643 1.2× 124 0.6× 123 0.7× 145 1.7× 19 0.2× 28 780
Shane Lindsay United Kingdom 13 376 0.7× 337 1.7× 209 1.1× 122 1.5× 44 0.6× 23 648
Victoria A. Kazmerski United States 12 547 1.0× 305 1.5× 106 0.6× 109 1.3× 23 0.3× 21 737
Milena Rabovsky Germany 14 595 1.1× 215 1.1× 256 1.4× 100 1.2× 100 1.3× 32 700
Trevor Brothers United States 14 785 1.5× 214 1.1× 464 2.5× 56 0.7× 151 2.0× 25 876
Rasha Abdel Rahman Germany 12 441 0.8× 235 1.2× 162 0.9× 98 1.2× 38 0.5× 32 638

Countries citing papers authored by Phillip M. Alday

Since Specialization
Citations

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

Fields of papers citing papers by Phillip M. Alday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip M. Alday. 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 Phillip M. Alday. The network helps show where Phillip M. Alday may publish in the future.

Co-authorship network of co-authors of Phillip M. Alday

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip M. Alday. A scholar is included among the top collaborators of Phillip M. Alday 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 Phillip M. Alday. Phillip M. Alday 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.
Zheng, Kevin, Dave Kleinschmidt, Phillip M. Alday, et al.. (2023). 0907 Macro and microarchitectural sleep features in Alzheimer’s dementia and mild cognitive impairment in a large clinical cohort. SLEEP. 46(Supplement_1). A399–A400.
2.
Alday, Phillip M., et al.. (2023). Combining EEG and 3D-eye-tracking to study the prediction of upcoming speech in naturalistic virtual environments: A proof of principle. Neuropsychologia. 191. 108730–108730. 4 indexed citations
3.
Bornkessel‐Schlesewsky, Ina, Phillip M. Alday, Andrew W. Corcoran, et al.. (2022). Rapid adaptation of predictive models during language comprehension: Aperiodic EEG slope, individual alpha frequency and idea density modulate individual differences in real-time model updating. Frontiers in Psychology. 13. 817516–817516. 16 indexed citations
4.
Bosker, Hans Rutger, et al.. (2020). Linguistic Structure and Meaning Organize Neural Oscillations into a Content-Specific Hierarchy. Journal of Neuroscience. 40(49). 9467–9475. 67 indexed citations
5.
Cross, Zachariah R., Andrew W. Corcoran, Alex Chatburn, et al.. (2020). Individual alpha frequency modulates sleep-related emotional memory consolidation. Neuropsychologia. 148. 107660–107660. 9 indexed citations
6.
Brehm, Laurel & Phillip M. Alday. (2020). A decade of mixed models: It’s past time to set your contrasts. MPG.PuRe (Max Planck Society). 3 indexed citations
7.
Alday, Phillip M., et al.. (2020). Focused-attention meditation increases cognitive control during motor sequence performance: Evidence from the N2 cortical evoked potential. Behavioural Brain Research. 384. 112536–112536. 18 indexed citations
8.
Hintz, Florian, et al.. (2019). Distinguishing integration and prediction accounts of ERP N400 modulations in language processing through experimental design. Neuropsychologia. 134. 107199–107199. 31 indexed citations
9.
Bosker, Hans Rutger, et al.. (2019). Control of speaking rate is achieved by switching between qualitatively distinct cognitive “gaits”: Evidence from simulation.. Psychological Review. 127(2). 281–304. 4 indexed citations
10.
Bates, Douglas M., Phillip M. Alday, Dave Kleinschmidt, et al.. (2019). JuliaStats/MixedModels.jl: v2.2.0. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
11.
Corcoran, Andrew W., Phillip M. Alday, Matthias Schlesewsky, & Ina Bornkessel‐Schlesewsky. (2018). Toward a reliable, automated method of individual alpha frequency (IAF) quantification. Psychophysiology. 55(7). e13064–e13064. 126 indexed citations
12.
Bode, Stefan, Daniel Feuerriegel, Daniel Bennett, & Phillip M. Alday. (2018). The Decision Decoding ToolBOX (DDTBOX) – A Multivariate Pattern Analysis Toolbox for Event-Related Potentials. Neuroinformatics. 17(1). 27–42. 44 indexed citations
13.
Meyer, Antje S., et al.. (2018). Working Together: Contributions of Corpus Analyses and Experimental Psycholinguistics to Understanding Conversation. Frontiers in Psychology. 9. 525–525. 20 indexed citations
14.
Alday, Phillip M., Matthias Schlesewsky, & Ina Bornkessel‐Schlesewsky. (2017). Electrophysiology Reveals the Neural Dynamics of Naturalistic Auditory Language Processing: Event-Related Potentials Reflect Continuous Model Updates. eNeuro. 4(6). ENEURO.0311–16.2017. 41 indexed citations
15.
Alday, Phillip M. & Andrea E. Martin. (2017). Decoding Linguistic Structure Building in the Time-Frequency Domain. Max Planck Digital Library. 1 indexed citations
16.
Wiese, Richard, et al.. (2017). Structural Principles or Frequency of Use? An ERP Experiment on the Learnability of Consonant Clusters. Frontiers in Psychology. 7. 2005–2005. 12 indexed citations
17.
Alday, Phillip M.. (2016). Towards a Rigorous Motivation for Zipf’s Law. Figshare. 1 indexed citations
18.
Ulbrich, Christiane, et al.. (2016). The role of phonotactic principles in language processing. Language Cognition and Neuroscience. 31(5). 662–682. 12 indexed citations
19.
Bornkessel‐Schlesewsky, Ina, Phillip M. Alday, & Matthias Schlesewsky. (2016). A modality-independent, neurobiological grounding for the combinatory capacity of the language-ready brain. Physics of Life Reviews. 16. 55–57. 4 indexed citations
20.
Alday, Phillip M., Matthias Schlesewsky, & Ina Bornkessel‐Schlesewsky. (2013). Towards a Computational Model of Actor-Based Language Comprehension. Neuroinformatics. 12(1). 143–179. 18 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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