Martin Corley

4.3k total citations
72 papers, 2.6k citations indexed

About

Martin Corley is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Martin Corley has authored 72 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 30 papers in Experimental and Cognitive Psychology and 26 papers in Developmental and Educational Psychology. Recurrent topics in Martin Corley's work include Neurobiology of Language and Bilingualism (32 papers), Phonetics and Phonology Research (15 papers) and Reading and Literacy Development (13 papers). Martin Corley is often cited by papers focused on Neurobiology of Language and Bilingualism (32 papers), Phonetics and Phonology Research (15 papers) and Reading and Literacy Development (13 papers). Martin Corley collaborates with scholars based in United Kingdom, United States and South Korea. Martin Corley's co-authors include Christoph Scheepers, Robert J. Hartsuiker, Don Mitchell, Lucy MacGregor, D. Donaldson, Aine Ito, Martin J. Pickering, Robin J. Lickley, Fernando Cuetos and Marc Brysbaert and has published in prestigious journals such as PLoS ONE, Cognition and Neuropsychologia.

In The Last Decade

Martin Corley

70 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Corley United Kingdom 27 1.6k 1.2k 911 617 594 72 2.6k
Jeanette Altarriba United States 33 1.9k 1.2× 1.4k 1.1× 1.3k 1.5× 574 0.9× 297 0.5× 96 3.4k
Helen Smith Cairns United States 21 1.5k 0.9× 1.7k 1.4× 778 0.9× 572 0.9× 359 0.6× 51 2.6k
Ben Ambridge United Kingdom 24 1.5k 0.9× 2.1k 1.7× 698 0.8× 769 1.2× 473 0.8× 65 3.2k
Hugo Quené Netherlands 18 756 0.5× 580 0.5× 1.1k 1.2× 422 0.7× 463 0.8× 74 2.1k
Victor S. Ferreira United States 27 2.7k 1.7× 2.3k 1.9× 1.3k 1.4× 1.3k 2.1× 702 1.2× 91 3.9k
Matthias Schlesewsky Germany 35 3.3k 2.1× 2.0k 1.6× 1.1k 1.2× 617 1.0× 357 0.6× 103 4.1k
Michael Ramscar Germany 26 1.2k 0.7× 1.4k 1.1× 1.2k 1.3× 504 0.8× 775 1.3× 91 3.0k
Remo Job Italy 31 2.4k 1.5× 1.6k 1.3× 837 0.9× 318 0.5× 242 0.4× 124 3.2k
Sarah Brown‐Schmidt United States 29 1.4k 0.9× 1.0k 0.8× 1.1k 1.2× 600 1.0× 803 1.4× 92 2.5k
Evan Kidd Australia 29 1.6k 1.0× 2.3k 1.8× 515 0.6× 573 0.9× 272 0.5× 121 3.1k

Countries citing papers authored by Martin Corley

Since Specialization
Citations

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

Fields of papers citing papers by Martin Corley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Corley

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Corley. A scholar is included among the top collaborators of Martin Corley 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 Martin Corley. Martin Corley 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.
Bosker, Hans Rutger, et al.. (2021). Discourse Markers Activate Their, Like, Cohort Competitors. Discourse Processes. 58(9). 837–851.
2.
Li, Wei, Hannah Rohde, & Martin Corley. (2021). Veritable Untruths: Autistic Traits and the Processing of Deception. Journal of Autism and Developmental Disorders. 52(11). 4921–4930. 1 indexed citations
3.
Rohde, Hannah, et al.. (2020). Interpreting nonverbal cues to deception in real time. PLoS ONE. 15(3). e0229486–e0229486. 6 indexed citations
4.
Rabagliati, Hugh, Martin Corley, Benjamin Dering, et al.. (2020). Many Labs 5: Registered Replication of Crosby, Monin, and Richardson (2008). Advances in Methods and Practices in Psychological Science. 3(3). 353–365. 1 indexed citations
5.
Ferreira, Sónia, Nuno A. Fonseca, Bastian Egeter, et al.. (2018). Deliverable 4.2 (D4.2): Protocol for building and organising reference collections of DNA sequences, EnvMetaGen project (Grant Agreement No 668981).. Zenodo (CERN European Organization for Nuclear Research). 8 indexed citations
6.
Rohde, Hannah, et al.. (2018). Cues to Lying May be Deceptive: Speaker and Listener Behaviour in an Interactive Game of Deception. Journal of Cognition. 1(1). 42–42. 12 indexed citations
7.
Corley, Martin, et al.. (2017). Contextual Effects on Online Pragmatic Inferences of Deception. Discourse Processes. 55(2). 123–135. 3 indexed citations
8.
Corley, Martin, et al.. (2015). Perfectionism and stuttering: Findings of an online survey. Journal of Fluency Disorders. 44. 46–62. 9 indexed citations
9.
Rajendran, Gnanathusharan, et al.. (2015). Strange Words: Autistic Traits and the Processing of Non-Literal Language. Journal of Autism and Developmental Disorders. 45(11). 3606–3612. 5 indexed citations
10.
Ito, Aine, Martin Corley, Martin J. Pickering, Andrea E. Martin, & Mante S. Nieuwland. (2015). Predicting form and meaning: Evidence from brain potentials. Journal of Memory and Language. 86. 157–171. 108 indexed citations
11.
Corley, Martin, et al.. (2014). Effects in production of word pre-activation during listening: Are listener-generated predictions specified at a speech-sound level?. Memory & Cognition. 43(1). 111–120. 15 indexed citations
12.
Corley, Martin, et al.. (2011). Error biases in inner and overt speech: Evidence from tongue twisters.. Journal of Experimental Psychology Learning Memory and Cognition. 37(1). 162–175. 34 indexed citations
13.
Corley, Martin. (2010). Making predictions from speech with repairs: Evidence from eye movements. Language and Cognitive Processes. 25(5). 706–727. 17 indexed citations
14.
MacGregor, Lucy, Martin Corley, & D. Donaldson. (2009). Not all disfluencies are are equal: The effects of disfluent repetitions on language comprehension. Brain and Language. 111(1). 36–45. 18 indexed citations
15.
Keller, Frank, et al.. (2009). Timing accuracy of Web experiments: A case study using the WebExp software package. Behavior Research Methods. 41(1). 1–12. 86 indexed citations
16.
Corley, Martin, et al.. (2008). Attention orienting effects of hesitations in speech: Evidence from ERPs.. Journal of Experimental Psychology Learning Memory and Cognition. 34(3). 696–702. 40 indexed citations
17.
Corley, Martin, et al.. (2007). Brief Report: Imitation of Meaningless Gestures in Individuals with Asperger Syndrome and High-functioning Autism. Journal of Autism and Developmental Disorders. 38(3). 569–573. 26 indexed citations
18.
Corley, Martin, et al.. (2006). The Influence of Lexical , Conceptual and Planning Based Factors on Disfluency Production. Language. 212(2). 8–13. 19 indexed citations
19.
Corley, Martin & Robert J. Hartsuiker. (2003). Hesitation in speech can… um… help a listener understand. eScholarship (California Digital Library). 25(25). 276–281. 21 indexed citations
20.
Ramscar, Michael, et al.. (2001). The Roles of Thought and Experience in the Understanding of Spatio-temporal Metaphors. eScholarship (California Digital Library). 23(23).

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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