Nicholas Shea

4.0k total citations · 1 hit paper
66 papers, 2.0k citations indexed

About

Nicholas Shea is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and History and Philosophy of Science. According to data from OpenAlex, Nicholas Shea has authored 66 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 16 papers in Developmental and Educational Psychology and 15 papers in History and Philosophy of Science. Recurrent topics in Nicholas Shea's work include Child and Animal Learning Development (16 papers), Philosophy and History of Science (13 papers) and Neural dynamics and brain function (10 papers). Nicholas Shea is often cited by papers focused on Child and Animal Learning Development (16 papers), Philosophy and History of Science (13 papers) and Neural dynamics and brain function (10 papers). Nicholas Shea collaborates with scholars based in United Kingdom, United States and Australia. Nicholas Shea's co-authors include Chris Frith, Cecilia Heyes, Ido Pen, Tobias Uller, Dan Bang, Tim Bayne, Annika Boldt, Nick Yeung, Roi Cohen Kadosh and Jacinta O’Shea and has published in prestigious journals such as Nature Communications, PLoS ONE and Current Biology.

In The Last Decade

Nicholas Shea

61 papers receiving 1.9k citations

Hit Papers

Representation in Cognitive Science 2018 2026 2020 2023 2018 50 100 150 200
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. Representation in Cognitive Science
    2018 222 citations Nicholas Shea profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Shea United Kingdom 23 895 394 373 299 281 66 2.0k
Tom Froese Mexico 26 1.5k 1.7× 292 0.7× 922 2.5× 250 0.8× 128 0.5× 128 2.3k
Julian Kiverstein Netherlands 26 1.8k 2.0× 415 1.1× 1.0k 2.7× 352 1.2× 195 0.7× 71 2.7k
Edward S. Reed United States 20 1.2k 1.3× 396 1.0× 737 2.0× 515 1.7× 192 0.7× 60 2.4k
Mark Rowlands United States 19 841 0.9× 323 0.8× 434 1.2× 154 0.5× 169 0.6× 67 1.4k
Daniel D. Hutto Australia 25 1.4k 1.6× 531 1.3× 1.1k 2.8× 539 1.8× 188 0.7× 100 2.3k
Tim van Gelder Australia 6 1.3k 1.4× 529 1.3× 719 1.9× 443 1.5× 226 0.8× 8 2.8k
Lambros Malafouris United Kingdom 20 985 1.1× 265 0.7× 768 2.1× 200 0.7× 75 0.3× 45 2.2k
Nicholas Humphrey United Kingdom 28 1.3k 1.5× 520 1.3× 612 1.6× 224 0.7× 51 0.2× 73 2.4k
Christoph Hoerl United Kingdom 19 597 0.7× 380 1.0× 294 0.8× 449 1.5× 79 0.3× 60 1.2k
John Barresi Canada 17 700 0.8× 541 1.4× 679 1.8× 749 2.5× 152 0.5× 45 1.8k

Countries citing papers authored by Nicholas Shea

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Shea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Shea

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Shea. A scholar is included among the top collaborators of Nicholas Shea 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 Nicholas Shea. Nicholas Shea 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.
Miyamoto, Kentaro, Shiho Tanaka, Ali Mahmoodi, et al.. (2025). Asymmetric projection of introspection reveals a behavioural and neural mechanism for interindividual social coordination. Nature Communications. 16(1). 295–295.
2.
Shea, Nicholas. (2024). Metacognition of Inferential Transitions. The Journal of Philosophy. 121(11). 597–627. 1 indexed citations
3.
Fleming, Stephen M. & Nicholas Shea. (2024). Quality space computations for consciousness. Trends in Cognitive Sciences. 28(10). 896–906. 9 indexed citations
4.
Shea, Nicholas. (2023). Millikan’s consistency testers and the cultural evolution of concepts. 5(1). 79–101. 2 indexed citations
5.
Shea, Nicholas. (2023). Organized representations forming a computationally useful processing structure. Synthese. 202(6). 2 indexed citations
6.
Heyes, Cecilia, Dan Bang, Nicholas Shea, Chris Frith, & Stephen M. Fleming. (2020). Knowing Ourselves Together: The Cultural Origins of Metacognition. SAS-Space (University of London). 3 indexed citations
7.
Bayne, Tim & Nicholas Shea. (2020). Consciousness, Concepts and Natural Kinds. Philosophical Topics. 48(1). 65–83. 18 indexed citations
8.
Heyes, Cecilia, Dan Bang, Nicholas Shea, Chris Frith, & Stephen M. Fleming. (2020). Knowing Ourselves Together: The Cultural Origins of Metacognition. Trends in Cognitive Sciences. 24(5). 349–362. 103 indexed citations
9.
Shea, Nicholas & Chris Frith. (2019). The Global Workspace Needs Metacognition. Trends in Cognitive Sciences. 23(7). 560–571. 68 indexed citations
10.
Shea, Nicholas, Peter Godfrey‐Smith, & Rosa Cao. (2017). Content in Simple Signalling Systems. Research Portal (King's College London). 2 indexed citations
11.
English, Sinéad, Ido Pen, Nicholas Shea, & Tobias Uller. (2015). The Information Value of Non-Genetic Inheritance in Plants and Animals. PLoS ONE. 10(1). e0116996–e0116996. 73 indexed citations
12.
Shea, Nicholas, Annika Boldt, Dan Bang, et al.. (2014). Supra-personal cognitive control and metacognition. Trends in Cognitive Sciences. 18(4). 186–193. 208 indexed citations
13.
Shea, Nicholas. (2013). Naturalising Representational Content. Philosophy Compass. 8(5). 496–509. 46 indexed citations
14.
Shea, Nicholas. (2012). Reward Prediction Error Signals are Meta‐Representational. Noûs. 48(2). 314–341. 27 indexed citations
15.
Shea, Nicholas. (2012). Inherited Representations are Read in Development. The British Journal for the Philosophy of Science. 64(1). 1–31. 35 indexed citations
16.
Kadosh, Roi Cohen, Neil Levy, Jacinta O’Shea, Nicholas Shea, & Julian Savulescu. (2012). The neuroethics of non-invasive brain stimulation. Current Biology. 22(4). R108–R111. 140 indexed citations
17.
Shea, Nicholas, Ido Pen, & Tobias Uller. (2011). Three epigenetic information channels and their different roles in evolution. Journal of Evolutionary Biology. 24(6). 1178–1187. 118 indexed citations
18.
Shea, Nicholas. (2011). Reward Prediction Error Signals are Metarepresentational. Cognitive Science. 33(33). 2 indexed citations
19.
Shea, Nicholas. (2011). Methodological Encounters with the Phenomenal Kind. Philosophy and Phenomenological Research. 84(2). 307–344. 34 indexed citations
20.
Shea, Nicholas, Kristine Krug, & Philippe N. Tobler. (2008). Conceptual representations in goal-directed decision making. Cognitive Affective & Behavioral Neuroscience. 8(4). 418–428. 10 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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