Jonathan W. Peirce

14.2k total citations · 4 hit papers
45 papers, 8.6k citations indexed

About

Jonathan W. Peirce is a scholar working on Cognitive Neuroscience, Social Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jonathan W. Peirce has authored 45 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 9 papers in Social Psychology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jonathan W. Peirce's work include Visual perception and processing mechanisms (31 papers), Neural dynamics and brain function (25 papers) and Face Recognition and Perception (9 papers). Jonathan W. Peirce is often cited by papers focused on Visual perception and processing mechanisms (31 papers), Neural dynamics and brain function (25 papers) and Face Recognition and Perception (9 papers). Jonathan W. Peirce collaborates with scholars based in United Kingdom, United States and New Zealand. Jonathan W. Peirce's co-authors include Michael R. MacAskill, Erik K. Kastman, Richard Höchenberger, Hiroyuki Sogo, Jonas Kristoffer Lindeløv, Keith M. Kendrick, Samuel G. Solomon, Peter Lennie, Andrea E. Leigh and David Bridges and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Jonathan W. Peirce

42 papers receiving 8.4k citations

Hit Papers

PsychoPy—Psychophysics software in Python 2007 2026 2013 2019 2007 2019 2008 2020 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan W. Peirce United Kingdom 20 6.1k 2.2k 1.5k 1.2k 517 45 8.6k
Edward Awh United States 52 12.8k 2.1× 2.7k 1.2× 1.4k 1.0× 1.3k 1.1× 347 0.7× 115 14.3k
Floris P. de Lange Netherlands 60 10.0k 1.6× 2.1k 0.9× 2.2k 1.5× 1.1k 0.9× 649 1.3× 177 12.1k
Ingrid R. Olson United States 51 8.0k 1.3× 2.0k 0.9× 1.4k 0.9× 923 0.8× 641 1.2× 131 10.0k
Edward K. Vogel United States 54 13.7k 2.2× 3.4k 1.6× 1.9k 1.2× 973 0.8× 337 0.7× 117 15.3k
Neil A. Macmillan United States 28 6.5k 1.1× 2.4k 1.1× 1.7k 1.2× 1.2k 1.0× 236 0.5× 48 9.1k
Werner Sommer Germany 55 9.4k 1.5× 3.1k 1.4× 1.8k 1.2× 1.5k 1.3× 209 0.4× 291 10.7k
William L. Thompson United States 38 5.3k 0.9× 2.1k 0.9× 1.6k 1.0× 1.3k 1.1× 225 0.4× 63 8.1k
Nicholas B. Turk‐Browne United States 45 6.8k 1.1× 1.4k 0.6× 644 0.4× 1.4k 1.2× 834 1.6× 146 8.4k
George R. Mangun United States 59 13.7k 2.2× 2.9k 1.3× 1.4k 1.0× 1.0k 0.9× 814 1.6× 130 15.5k
Giovanni Pezzulo Italy 46 5.7k 0.9× 1.3k 0.6× 2.6k 1.8× 1.1k 0.9× 727 1.4× 210 9.2k

Countries citing papers authored by Jonathan W. Peirce

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan W. Peirce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan W. Peirce. 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 Jonathan W. Peirce. The network helps show where Jonathan W. Peirce may publish in the future.

Co-authorship network of co-authors of Jonathan W. Peirce

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan W. Peirce. A scholar is included among the top collaborators of Jonathan W. Peirce 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 Jonathan W. Peirce. Jonathan W. Peirce 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.
Bridges, David, et al.. (2020). The timing mega-study: comparing a range of experiment generators, both lab-based and online. PeerJ. 8. e9414–e9414. 304 indexed citations breakdown →
2.
Baker, Daniel H., et al.. (2017). Measuring nonlinear signal combination using EEG. Journal of Vision. 17(5). 10–10. 18 indexed citations
3.
Peirce, Jonathan W.. (2014). Compound feature detectors in mid-level vision. Journal of Vision. 14(10). 1455–1455. 2 indexed citations
4.
Peirce, Jonathan W.. (2013). Is it just motion that silences awareness of other visual changes?. Journal of Vision. 13(7). 17–17. 6 indexed citations
5.
McGraw, Paul V., et al.. (2013). Luminance cues constrain chromatic blur discrimination in natural scene stimuli. Journal of Vision. 13(4). 14–14. 10 indexed citations
6.
Svensson, Carl‐Magnus, Stephen Coombes, & Jonathan W. Peirce. (2012). Using Evolutionary Algorithms for Fitting High-Dimensional Models to Neuronal Data. Neuroinformatics. 10(2). 199–218. 15 indexed citations
7.
Peirce, Jonathan W., et al.. (2012). Contribution of large scale biases in decoding of direction-of-motion from high-resolution fMRI data in human early visual cortex. NeuroImage. 63(3). 1623–1632. 23 indexed citations
8.
McGovern, David P. & Jonathan W. Peirce. (2010). The spatial characteristics of plaid-form-selective mechanisms. Vision Research. 50(8). 796–804. 7 indexed citations
9.
Hancock, Sarah & Jonathan W. Peirce. (2008). Selective mechanisms for simple contours revealed by compound adaptation. Journal of Vision. 8(7). 11–11. 34 indexed citations
10.
Webb, Ben S., Neil W. Roach, & Jonathan W. Peirce. (2008). Masking exposes multiple global form mechanisms. Journal of Vision. 8(9). 16–16. 13 indexed citations
11.
Peirce, Jonathan W.. (2007). The potential importance of saturating and supersaturating contrast response functions in visual cortex. Journal of Vision. 7(6). 13–13. 61 indexed citations
12.
Tailby, Chris, Samuel G. Solomon, Jonathan W. Peirce, & Andrew Metha. (2007). Two expressions of “surround suppression” in V1 that arise independent of cortical mechanisms of suppression. Visual Neuroscience. 24(1). 99–109. 35 indexed citations
13.
Peirce, Jonathan W., et al.. (2006). Selective mechanisms for complex visual patterns revealed by adaptation. Neuroscience. 141(1). 15–18. 19 indexed citations
14.
Solomon, Samuel G., Jonathan W. Peirce, Neel T. Dhruv, & Peter Lennie. (2004). Profound Contrast Adaptation Early in the Visual Pathway. Neuron. 42(1). 155–162. 230 indexed citations
15.
Solomon, Samuel G., Jonathan W. Peirce, & Peter Lennie. (2004). The Impact of Suppressive Surrounds on Chromatic Properties of Cortical Neurons. Journal of Neuroscience. 24(1). 148–160. 87 indexed citations
16.
Peirce, Jonathan W. & Keith M. Kendrick. (2002). Functional asymmetry in sheep temporal cortex. Neuroreport. 13(18). 2395–2399. 31 indexed citations
17.
Forte, Jason D., Jonathan W. Peirce, & Peter Lennie. (2002). Binocular integration of partially occluded surfaces. Vision Research. 42(10). 1225–1235. 22 indexed citations
18.
Forte, Jason D., Jonathan W. Peirce, James M. Kraft, John Krauskopf, & Peter Lennie. (2002). Residual eye-movements in macaque and their effects on visual responses of neurons. Visual Neuroscience. 19(1). 31–38. 16 indexed citations
19.
Kendrick, Keith M., Andrea E. Leigh, & Jonathan W. Peirce. (2001). Behavioural and Neural Correlates of Mental Imagery in Sheep Using Face Recognition Paradigms. Animal Welfare. 10(S1). S89–S101. 12 indexed citations
20.
Kendrick, Keith M., et al.. (2001). Sheep don't forget a face. Nature. 414(6860). 165–166. 212 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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