Ken McRae

10.2k total citations · 1 hit paper
81 papers, 6.6k citations indexed

About

Ken McRae is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Ken McRae has authored 81 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Cognitive Neuroscience, 34 papers in Developmental and Educational Psychology and 27 papers in Artificial Intelligence. Recurrent topics in Ken McRae's work include Neurobiology of Language and Bilingualism (41 papers), Language, Metaphor, and Cognition (22 papers) and Child and Animal Learning Development (20 papers). Ken McRae is often cited by papers focused on Neurobiology of Language and Bilingualism (41 papers), Language, Metaphor, and Cognition (22 papers) and Child and Animal Learning Development (20 papers). Ken McRae collaborates with scholars based in Canada, United States and Italy. Ken McRae's co-authors include Mark S. Seidenberg, George S. Cree, Virginia R. de, Chris McNorgan, Mary Hare, Jeffrey L. Elman, Todd R. Ferretti, Michael K. Tanenhaus, Michael J. Spivey-Knowlton and Lawrence W. Barsalou and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Ken McRae

79 papers receiving 6.2k citations

Hit Papers

Semantic feature production norms for a large set of livi... 2005 2026 2012 2019 2005 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Semantic feature production norms for a large set of living and nonliving things
    2005 709 citations Ken McRae, George S. Cree et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken McRae Canada 39 4.4k 2.9k 2.3k 1.5k 1.4k 81 6.6k
Evelina Fedorenko United States 51 6.8k 1.6× 2.9k 1.0× 1.7k 0.7× 1.2k 0.8× 1.3k 0.9× 151 9.0k
Gabriella Vigliocco United Kingdom 50 5.6k 1.3× 4.7k 1.7× 4.3k 1.9× 1.1k 0.7× 2.5k 1.8× 175 9.7k
Christophe Pallier France 41 4.8k 1.1× 3.2k 1.1× 3.0k 1.3× 1.1k 0.7× 515 0.4× 91 7.3k
Boris New France 26 4.1k 0.9× 3.7k 1.3× 2.0k 0.9× 1.3k 0.9× 533 0.4× 45 6.4k
Carol A. Fowler United States 50 3.3k 0.8× 2.6k 0.9× 5.4k 2.4× 2.0k 1.3× 953 0.7× 147 8.1k
Michael J. Spivey United States 34 3.7k 0.9× 2.1k 0.7× 2.5k 1.1× 633 0.4× 1.4k 1.0× 117 6.0k
John C. Trueswell United States 39 4.1k 1.0× 4.1k 1.4× 2.1k 0.9× 1.2k 0.8× 424 0.3× 99 6.7k
Kim Plunkett United Kingdom 44 2.7k 0.6× 5.4k 1.9× 1.9k 0.8× 1.1k 0.7× 531 0.4× 149 7.7k
Alfonso Caramazza United States 37 5.8k 1.3× 4.2k 1.5× 1.5k 0.6× 515 0.3× 919 0.7× 63 7.0k
Fernanda Ferreira United States 47 6.6k 1.5× 4.9k 1.7× 2.7k 1.2× 1.9k 1.2× 455 0.3× 147 9.0k

Countries citing papers authored by Ken McRae

Since Specialization
Citations

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

Fields of papers citing papers by Ken McRae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken McRae

This figure shows the co-authorship network connecting the top 25 collaborators of Ken McRae. A scholar is included among the top collaborators of Ken McRae 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 Ken McRae. Ken McRae 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
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McRae, Ken, et al.. (2022). Can you touch the N400? The interactive effects of body-object interaction and task demands on N400 amplitudes and decision latencies. Brain and Language. 231. 105147–105147. 3 indexed citations
4.
Brown, Kevin, Eiling Yee, Elliot Saltzman, James S. Magnuson, & Ken McRae. (2020). What Do Computers Know About Semantics Anyway? Testing Distributional Semantics Models Against a Broad Range of Relatedness Ratings.. Cognitive Science. 1 indexed citations
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Pezzulo, Giovanni, Lawrence W. Barsalou, Angelo Cangelosi, et al.. (2011). The Mechanics of Embodiment: A Dialog on Embodiment and Computational Modeling. Frontiers in Psychology. 2. 5–5. 117 indexed citations
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Matsuki, Kazunaga, et al.. (2011). Event-based plausibility immediately influences on-line language comprehension.. Journal of Experimental Psychology Learning Memory and Cognition. 37(4). 913–934. 105 indexed citations
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Kutas, Marta, et al.. (2010). Generalized Event Knowledge Activation During Online Language Comprehension. Proceedings of the Annual Meeting of the Cognitive Science Society. 32(32). 34430–34440. 2 indexed citations
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Hare, Mary, et al.. (2009). The Wind Chilled the Spectators, but the Wine Just Chilled: Sense, Structure, and Sentence Comprehension. Cognitive Science. 33(4). 610–628. 35 indexed citations
10.
O’Connor, Christopher M., George S. Cree, & Ken McRae. (2009). Conceptual Hierarchies in a Flat Attractor Network: Dynamics of Learning and Computations. Cognitive Science. 33(4). 665–708. 41 indexed citations
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McRae, Ken & Kazunaga Matsuki. (2009). People Use their Knowledge of Common Events to Understand Language, and Do So as Quickly as Possible. Language and Linguistics Compass. 3(6). 1417–1429. 84 indexed citations
12.
Martı́n, Fermı́n Moscoso del Prado, Bradley C. Love, Ken McRae, & Vladimir M. Sloutsky. (2008). A Fully Analytical Model of the Visual Lexical Decision Task. Proceedings of the Annual Meeting of the Cognitive Science Society. 30(30). 2 indexed citations
13.
Lupker, Stephen J., et al.. (2006). Shared Features Dominate the Number-Of-Features Effect. eScholarship (California Digital Library). 28(28). 5 indexed citations
14.
Cree, George S., Ken McRae, & Christopher M. O’Connor. (2006). Conceptual Hierarchies Arise from the Dynamics of Learning and Processing: Insights from a Flat Attractor Network. eScholarship (California Digital Library). 28(28). 3 indexed citations
15.
Hare, Mary, Michael K. Tanenhaus, & Ken McRae. (2006). Understanding and producing the reduced relative construction: Evidence from ratings, editing and corpora☆. Journal of Memory and Language. 56(3). 410–435. 18 indexed citations
16.
Cree, George S. & Ken McRae. (2003). Analyzing the factors underlying the structure and computation of the meaning of chipmunk, cherry, chisel, cheese, and cello (and many other such concrete nouns).. Journal of Experimental Psychology General. 132(2). 163–201. 424 indexed citations
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Cree, George S. & Ken McRae. (2001). A Connectionist Model of Semantic Memory: Superordinate structure without hierarchies. eScholarship (California Digital Library). 23(23). 1 indexed citations
18.
McRae, Ken, Mary Hare, Todd R. Ferretti, & Jeffrey L. Elman. (2001). Activating Verbs from Typical Agents, Patients, Instruments, and Locations via Event Schemas. eScholarship (California Digital Library). 23(23). 13 indexed citations
19.
McRae, Ken, Virginia R. de, & Mark S. Seidenberg. (1993). Modeling Property Intercorrelations in Conceptual Memory. eScholarship (California Digital Library). 1 indexed citations
20.
McRae, Ken, Virginia R. de, & Mark S. Seidenberg. (1993). The Role of Correlated Properties in Accessing Conceptual Memory. 3 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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