Nick E. Barraclough

1.3k total citations
34 papers, 893 citations indexed

About

Nick E. Barraclough is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Nick E. Barraclough has authored 34 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 15 papers in Social Psychology and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Nick E. Barraclough's work include Visual perception and processing mechanisms (14 papers), Action Observation and Synchronization (13 papers) and Face Recognition and Perception (12 papers). Nick E. Barraclough is often cited by papers focused on Visual perception and processing mechanisms (14 papers), Action Observation and Synchronization (13 papers) and Face Recognition and Perception (12 papers). Nick E. Barraclough collaborates with scholars based in United Kingdom, Germany and Australia. Nick E. Barraclough's co-authors include David I. Perrett, Mike W. Oram, Dengke Xiao, Chris I. Baker, Andrew M. Derrington, Chris J. Tinsley, Ben S. Webb, Eleanor Cole, Amanda Parker and Alexander Easton and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and Brain Research.

In The Last Decade

Nick E. Barraclough

33 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nick E. Barraclough United Kingdom 16 711 338 301 110 89 34 893
Dengke Xiao United Kingdom 15 648 0.9× 330 1.0× 495 1.6× 185 1.7× 50 0.6× 19 1.0k
Eunice Yang United States 8 1.1k 1.6× 190 0.6× 251 0.8× 65 0.6× 50 0.6× 11 1.3k
Guido Hesselmann Germany 26 2.0k 2.8× 183 0.5× 327 1.1× 94 0.9× 84 0.9× 69 2.2k
Petra Vetter United Kingdom 15 699 1.0× 135 0.4× 242 0.8× 58 0.5× 52 0.6× 33 884
Alessia Celeghin Italy 17 679 1.0× 276 0.8× 250 0.8× 45 0.4× 29 0.3× 34 983
Christopher P. Said United States 12 1.1k 1.5× 222 0.7× 620 2.1× 45 0.4× 58 0.7× 16 1.3k
Laurent Hugueville France 19 1.4k 1.9× 302 0.9× 346 1.1× 66 0.6× 128 1.4× 43 1.6k
Avi Mendelsohn Israel 15 819 1.2× 215 0.6× 160 0.5× 38 0.3× 144 1.6× 33 1.1k
R. Becket Ebitz United States 12 477 0.7× 406 1.2× 250 0.8× 83 0.8× 59 0.7× 21 913

Countries citing papers authored by Nick E. Barraclough

Since Specialization
Citations

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

Fields of papers citing papers by Nick E. Barraclough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nick E. Barraclough. 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 Nick E. Barraclough. The network helps show where Nick E. Barraclough may publish in the future.

Co-authorship network of co-authors of Nick E. Barraclough

This figure shows the co-authorship network connecting the top 25 collaborators of Nick E. Barraclough. A scholar is included among the top collaborators of Nick E. Barraclough 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 Nick E. Barraclough. Nick E. Barraclough 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.
Barraclough, Nick E., et al.. (2024). Inter-subject correlation of audience facial expressions predicts audience engagement during theatrical performances. iScience. 27(6). 109843–109843. 3 indexed citations
2.
Preston, Catherine, et al.. (2023). Four fundamental dimensions underlie the perception of human actions. Attention Perception & Psychophysics. 86(2). 536–558. 7 indexed citations
3.
Egermann, Hauke, et al.. (2021). Audience facial expressions detected by automated face analysis software reflect emotions in music. Behavior Research Methods. 54(3). 1493–1507. 16 indexed citations
5.
Cole, Eleanor, Nick E. Barraclough, & Peter G. Enticott. (2018). Investigating Mirror System (MS) Activity in Adults with ASD When Inferring Others’ Intentions Using Both TMS and EEG. Journal of Autism and Developmental Disorders. 48(7). 2350–2367. 15 indexed citations
6.
Cole, Eleanor & Nick E. Barraclough. (2018). Timing of mirror system activation when inferring the intentions of others. Brain Research. 1700. 109–117. 10 indexed citations
7.
Cole, Eleanor, Nick E. Barraclough, & Timothy J. Andrews. (2018). Reduced connectivity between mentalizing and mirror systems in autism spectrum condition. Neuropsychologia. 122. 88–97. 31 indexed citations
8.
Bülthoff, I, et al.. (2017). Action Recognition in a Crowded Environment. i-Perception. 8(6). 979015073–979015073. 2 indexed citations
9.
Barraclough, Nick E., et al.. (2016). Visual adaptation enhances action sound discrimination. Attention Perception & Psychophysics. 79(1). 320–332. 3 indexed citations
10.
Ingham, J. K., et al.. (2016). Emotional Actions Are Coded via Two Mechanisms: With and without Identity Representation. Frontiers in Psychology. 7. 693–693. 4 indexed citations
11.
Barraclough, Nick E., et al.. (2014). A database of whole-body action videos for the study of action, emotion, and untrustworthiness. Behavior Research Methods. 46(4). 1042–1051. 12 indexed citations
12.
Dzhelyova, Milena, et al.. (2013). Adaptation to facial trustworthiness is different in female and male observers. Vision Research. 87. 30–34. 18 indexed citations
13.
Dzhelyova, Milena, et al.. (2013). Adaptation improves face trustworthiness discrimination. Frontiers in Psychology. 4. 358–358. 13 indexed citations
14.
Barraclough, Nick E., et al.. (2012). Dynamics of walking adaptation aftereffects induced in static images of walking actors. Vision Research. 59. 1–8. 8 indexed citations
15.
Barraclough, Nick E., Dengke Xiao, Mike W. Oram, & David I. Perrett. (2006). The sensitivity of primate STS neurons to walking sequences and to the degree of articulation in static images. Progress in brain research. 154. 135–148. 55 indexed citations
16.
Perrett, David I., et al.. (2006). Social perception from static and dynamic visual information. Perception. 35. 0–0. 1 indexed citations
17.
Barraclough, Nick E., Chris J. Tinsley, Ben S. Webb, Chris Vincent, & Andrew M. Derrington. (2006). Processing of first-order motion in marmoset visual cortex is influenced by second-order motion. Visual Neuroscience. 23(5). 815–824. 11 indexed citations
18.
Webb, Ben S., Chris J. Tinsley, Nick E. Barraclough, Amanda Parker, & Andrew M. Derrington. (2003). Gain control from beyond the classical receptive field in primate primary visual cortex. Visual Neuroscience. 20(3). 221–230. 30 indexed citations
19.
Webb, Ben S., Chris J. Tinsley, Nick E. Barraclough, et al.. (2002). Feedback from V1 and inhibition from beyond the classical receptive field modulates the responses of neurons in the primate lateral geniculate nucleus. Visual Neuroscience. 19(5). 583–592. 73 indexed citations
20.
Barraclough, Nick E., Andrew M. Derrington, & Fatima M. Felisberti. (2001). Responses to second-order patterns in primate lateral geniculate nucleus. Research Repository (Kingston University London). 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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