James W. A. Strachan

589 total citations · 1 hit paper
15 papers, 321 citations indexed

About

James W. A. Strachan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, James W. A. Strachan has authored 15 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 5 papers in Social Psychology. Recurrent topics in James W. A. Strachan's work include Face Recognition and Perception (6 papers), Evolutionary Psychology and Human Behavior (6 papers) and Language and cultural evolution (4 papers). James W. A. Strachan is often cited by papers focused on Face Recognition and Perception (6 papers), Evolutionary Psychology and Human Behavior (6 papers) and Language and cultural evolution (4 papers). James W. A. Strachan collaborates with scholars based in United Kingdom, Italy and Austria. James W. A. Strachan's co-authors include Vaggelis Giannikas, Duncan McFarlane, Jumyung Um, Rengarajan Srinivasan, Steven P. Tipper, Stefano Panzeri, Michael S. A. Graziano, Cristina Becchio, Giulia Borghini and K. B. Saxena and has published in prestigious journals such as PLoS ONE, Journal of Experimental Psychology Human Perception & Performance and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

James W. A. Strachan

15 papers receiving 317 citations

Hit Papers

align trajectories

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.

Testing theory of mind in large language models and humans

2024 84 citations James W. A. Strachan, Giulia Borghini et al. Nature Human Behaviour profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James W. A. Strachan United Kingdom	10	101	70	67	61	56	15	321
Marian Mazzone United States	4	94 0.9×	43 0.6×	16 0.2×	50 0.8×	6 0.1×	9	244
Dan Conway United States	7	33 0.3×	53 0.8×	84 1.3×	27 0.4×	27 0.5×	15	318
Jeba Rezwana United States	5	43 0.4×	45 0.6×	34 0.5×	44 0.7×	16 0.3×	11	254
Sandra Cano Colombia	12	91 0.9×	17 0.2×	34 0.5×	29 0.5×	7 0.1×	54	383
Mike Seymour Australia	10	42 0.4×	26 0.4×	77 1.1×	65 1.1×	5 0.1×	27	346
Xiaozhe Yang China	7	40 0.4×	77 1.1×	40 0.6×	49 0.8×	5 0.1×	16	376
Eunice Jun United States	10	54 0.5×	26 0.4×	34 0.5×	55 0.9×	8 0.1×	20	242
Manuel Oliveira Portugal	8	47 0.5×	49 0.7×	25 0.4×	26 0.4×	9 0.2×	25	238
Andy Coenen United States	4	41 0.4×	33 0.5×	33 0.5×	78 1.3×	6 0.1×	6	461
Anna Jordanous United Kingdom	10	115 1.1×	168 2.4×	34 0.5×	110 1.8×	4 0.1×	45	417

Countries citing papers authored by James W. A. Strachan

Since Specialization

Citations

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

Fields of papers citing papers by James W. A. Strachan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James W. A. Strachan. 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 James W. A. Strachan. The network helps show where James W. A. Strachan may publish in the future.

Co-authorship network of co-authors of James W. A. Strachan

This figure shows the co-authorship network connecting the top 25 collaborators of James W. A. Strachan. A scholar is included among the top collaborators of James W. A. Strachan 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 James W. A. Strachan. James W. A. Strachan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Strachan, James W. A., Giulia Borghini, K. B. Saxena, et al.. (2024). Testing theory of mind in large language models and humans. Nature Human Behaviour. 8(7). 1285–1295. 84 indexed citations breakdown →

Charbonneau, Mathieu, et al.. (2023). Flexible Cultural Learning Through Action Coordination. Perspectives on Psychological Science. 19(1). 201–222. 6 indexed citations

Charbonneau, Mathieu, James W. A. Strachan, & James Winters. (2022). The problem with solutions: A commentary of “Blind alleys and fruitful pathways in the comparative study of cultural cognition” by Andrew Whiten. Physics of Life Reviews. 44. 61–63. 2 indexed citations

Strachan, James W. A., et al.. (2021). Evaluating the relative contributions of copying and reconstruction processes in cultural transmission episodes. PLoS ONE. 16(9). e0256901–e0256901. 9 indexed citations

Strachan, James W. A., et al.. (2020). A methodology for distinguishing copying and reconstruction in cultural transmission episodes.. Cognitive Science. 2 indexed citations

Strachan, James W. A., et al.. (2020). Efficiency is prioritised over fairness when distributing joint actions. Acta Psychologica. 210. 103158–103158. 11 indexed citations

Strachan, James W. A., Merryn Constable, & Günther Knoblich. (2020). It goes with the territory: Ownership across spatial boundaries.. Journal of Experimental Psychology Human Perception & Performance. 46(8). 789–797. 5 indexed citations

Strachan, James W. A., et al.. (2019). Investigating the formation and consolidation of incidentally learned trust.. Journal of Experimental Psychology Learning Memory and Cognition. 46(4). 684–698. 12 indexed citations

Strachan, James W. A., Natalie Sebanz, & Günther Knoblich. (2019). The role of emotion in the dyad inversion effect. PLoS ONE. 14(7). e0219185–e0219185. 7 indexed citations

10.

Giannikas, Vaggelis, Duncan McFarlane, & James W. A. Strachan. (2018). Towards the deployment of customer orientation: A case study in third-party logistics. Computers in Industry. 104. 75–87. 17 indexed citations

11.

Strachan, James W. A., et al.. (2017). Incidental learning of trust from eye-gaze: Effects of race and facial trustworthiness. Visual Cognition. 25(7-8). 802–814. 25 indexed citations

12.

Giannikas, Vaggelis, et al.. (2017). Augmented Reality in Warehouse Operations: Opportunities and Barriers. IFAC-PapersOnLine. 50(1). 12979–12984. 97 indexed citations

13.

Strachan, James W. A., et al.. (2016). Incidental learning of trust: Examining the role of emotion and visuomotor fluency.. Journal of Experimental Psychology Learning Memory and Cognition. 42(11). 1759–1773. 13 indexed citations

14.

Strachan, James W. A. & Steven P. Tipper. (2016). Examining the Durability of Incidentally Learned Trust from Gaze Cues. Quarterly Journal of Experimental Psychology. 70(10). 2060–2075. 9 indexed citations

15.

Andrews, Timothy J., et al.. (2015). Responses in the right posterior superior temporal sulcus show a feature-based response to facial expression. Cortex. 69. 14–23. 22 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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