Joel Pearson

8.6k total citations · 2 hit papers
93 papers, 4.8k citations indexed

About

Joel Pearson is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Joel Pearson has authored 93 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Cognitive Neuroscience, 17 papers in Experimental and Cognitive Psychology and 13 papers in Social Psychology. Recurrent topics in Joel Pearson's work include Visual perception and processing mechanisms (53 papers), Neural dynamics and brain function (38 papers) and Neural and Behavioral Psychology Studies (30 papers). Joel Pearson is often cited by papers focused on Visual perception and processing mechanisms (53 papers), Neural dynamics and brain function (38 papers) and Neural and Behavioral Psychology Studies (30 papers). Joel Pearson collaborates with scholars based in Australia, United States and United Kingdom. Joel Pearson's co-authors include Rebecca Keogh, Stephen M. Kosslyn, Colin W. G. Clifford, Emily A. Holmes, Thomas Naselaris, Frank Tong, Jan W. Brascamp, Selen Atasoy, I. C. Donnelly and Rosanne L. Rademaker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Joel Pearson

92 papers receiving 4.7k citations

Hit Papers

Mental Imagery: Functiona... 2015 2026 2018 2022 2015 2019 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joel Pearson 3.7k 1.2k 757 413 278 93 4.8k
Katharina von Kriegstein 3.4k 0.9× 2.0k 1.6× 589 0.8× 619 1.5× 217 0.8× 92 4.5k
René Marois 6.5k 1.8× 1.4k 1.1× 1.0k 1.3× 423 1.0× 268 1.0× 90 8.0k
Alan J. Pegna 3.2k 0.9× 819 0.7× 494 0.7× 611 1.5× 165 0.6× 141 3.9k
Naotsugu Tsuchiya 5.1k 1.4× 1.1k 0.9× 830 1.1× 266 0.6× 321 1.2× 113 6.1k
Ifat Levy 4.1k 1.1× 1.1k 0.9× 676 0.9× 289 0.7× 486 1.7× 74 5.4k
Nathalie George 4.7k 1.3× 1.2k 1.0× 815 1.1× 250 0.6× 242 0.9× 93 5.4k
Sebastiaan Mathôt 3.1k 0.8× 1.2k 0.9× 828 1.1× 647 1.6× 161 0.6× 75 4.5k
Ernst Pöppel 4.1k 1.1× 1.5k 1.2× 1.0k 1.4× 315 0.8× 160 0.6× 151 5.6k
Paul E. Dux 3.6k 1.0× 738 0.6× 572 0.8× 554 1.3× 178 0.6× 137 4.4k
Benjamin Y. Hayden 5.0k 1.3× 1.1k 0.9× 949 1.3× 603 1.5× 223 0.8× 124 6.8k

Countries citing papers authored by Joel Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Joel Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joel Pearson

This figure shows the co-authorship network connecting the top 25 collaborators of Joel Pearson. A scholar is included among the top collaborators of Joel Pearson 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 Joel Pearson. Joel Pearson 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.
Koenig‐Robert, Roger, Rebecca Keogh, & Joel Pearson. (2025). The potential risks of opening the mind’s eye with psychedelic therapies. Cortex. 191. 167–171. 1 indexed citations
2.
Keogh, Rebecca, et al.. (2024). Slower but more accurate mental rotation performance in aphantasia linked to differences in cognitive strategies. Consciousness and Cognition. 121. 103694–103694. 15 indexed citations
3.
Zeman, Adam, et al.. (2024). Definition: Aphantasia. Cortex. 182. 212–213. 5 indexed citations
4.
Keogh, Rebecca, et al.. (2023). Multisensory subtypes of aphantasia: Mental imagery as supramodal perception in reverse. Neuroscience Research. 201. 50–59. 21 indexed citations
5.
Koenig‐Robert, Roger, et al.. (2023). Different Mechanisms for Supporting Mental Imagery and Perceptual Representations: Modulation Versus Excitation. Psychological Science. 34(11). 1229–1243. 12 indexed citations
6.
Burns, Emma, et al.. (2022). High school students' out‐of‐school science participation: A latent class analysis and unique associations with science aspirations and achievement. Journal of Research in Science Teaching. 60(3). 451–483. 13 indexed citations
8.
Martin, Andrew J., et al.. (2021). Challenge and threat appraisals in high school science: investigating the roles of psychological and physiological factors. Educational Psychology. 41(5). 618–639. 17 indexed citations
9.
Keogh, Rebecca, et al.. (2021). The critical role of mental imagery in human emotion: insights from fear-based imagery and aphantasia. Proceedings of the Royal Society B Biological Sciences. 288(1946). 20210267–20210267. 106 indexed citations
10.
Keogh, Rebecca, et al.. (2021). Visual working memory in aphantasia: Retained accuracy and capacity with a different strategy. Cortex. 143. 237–253. 65 indexed citations
11.
Koenig‐Robert, Roger & Joel Pearson. (2020). Decoding Nonconscious Thought Representations during Successful Thought Suppression. Journal of Cognitive Neuroscience. 32(12). 2272–2284. 11 indexed citations
12.
Keogh, Rebecca & Joel Pearson. (2020). Attention driven phantom vision: measuring the sensory strength of attentional templates and their relation to visual mental imagery and aphantasia. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1817). 20190688–20190688. 33 indexed citations
13.
Keogh, Rebecca, Johanna Bergmann, & Joel Pearson. (2020). Cortical excitability controls the strength of mental imagery. eLife. 9. 51 indexed citations
14.
Keogh, Rebecca, et al.. (2020). Hallucinations on demand: the utility of experimentally induced phenomena in hallucination research. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1817). 20200233–20200233. 17 indexed citations
15.
Martin, Andrew J., et al.. (2019). What happens when students reflect on their self-efficacy during a test? Exploring test experience and test outcome in science. Learning and Individual Differences. 73. 59–66. 11 indexed citations
16.
Atasoy, Selen, Gustavo Deco, Morten L. Kringelbach, & Joel Pearson. (2017). Harmonic Brain Modes: A Unifying Framework for Linking Space and Time in Brain Dynamics. The Neuroscientist. 24(3). 277–293. 79 indexed citations
17.
Pearson, Joel, et al.. (2016). Sensory dynamics of visual hallucinations in the normal population. eLife. 5. 22 indexed citations
18.
Lewis, David E., Sieu K. Khuu, & Joel Pearson. (2013). The color "fruit": Object memories defined by color. Journal of Vision. 13(9). 1009–1009.
19.
Knapen, Tomas, Jan W. Brascamp, Joel Pearson, Raymond van Ee, & Randolph Blake. (2011). The Role of Frontal and Parietal Brain Areas in Bistable Perception. Journal of Neuroscience. 31(28). 10293–10301. 165 indexed citations
20.
Pearson, Joel. (2010). Inner vision: seeing the minds eye. 16(1). 1 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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