William G. Hayward

3.6k total citations
88 papers, 2.6k citations indexed

About

William G. Hayward is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, William G. Hayward has authored 88 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Cognitive Neuroscience, 37 papers in Experimental and Cognitive Psychology and 36 papers in Computer Vision and Pattern Recognition. Recurrent topics in William G. Hayward's work include Face Recognition and Perception (57 papers), Visual perception and processing mechanisms (30 papers) and Evolutionary Psychology and Human Behavior (24 papers). William G. Hayward is often cited by papers focused on Face Recognition and Perception (57 papers), Visual perception and processing mechanisms (30 papers) and Evolutionary Psychology and Human Behavior (24 papers). William G. Hayward collaborates with scholars based in Hong Kong, Australia and United States. William G. Hayward's co-authors include Gillian Rhodes, Michael J. Tarr, L. Gauthier, Pepper Williams, Kate Crookes, Mintao Zhao, Chris Winkler, Adrian Schwaninger, Emma Jaquet and Louise Ewing and has published in prestigious journals such as Neuron, Nature Neuroscience and PLoS ONE.

In The Last Decade

William G. Hayward

84 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William G. Hayward Hong Kong 28 2.1k 1.2k 706 299 254 88 2.6k
James R. Brockmole United States 34 2.4k 1.2× 710 0.6× 594 0.8× 364 1.2× 556 2.2× 88 3.2k
Ruth Kimchi Israel 29 2.5k 1.2× 819 0.7× 337 0.5× 414 1.4× 650 2.6× 85 3.3k
Marco Bertamini United Kingdom 36 2.8k 1.3× 1.1k 0.9× 375 0.5× 178 0.6× 1.2k 4.5× 195 3.6k
Shaun P. Vecera United States 35 3.7k 1.8× 874 0.7× 519 0.7× 375 1.3× 724 2.9× 119 4.3k
Árni Kristjánsson Iceland 37 3.6k 1.7× 1.0k 0.8× 671 1.0× 302 1.0× 408 1.6× 173 4.2k
Glyn W. Humphreys United Kingdom 29 3.2k 1.5× 827 0.7× 275 0.4× 969 3.2× 600 2.4× 67 3.7k
S. E. Avons United Kingdom 22 964 0.5× 390 0.3× 308 0.4× 484 1.6× 359 1.4× 46 2.0k
Werner X. Schneider Germany 31 3.9k 1.9× 751 0.6× 541 0.8× 241 0.8× 496 2.0× 76 4.4k
Charles L. Folk United States 34 6.0k 2.9× 1.5k 1.3× 690 1.0× 182 0.6× 712 2.8× 51 6.4k
Ulrich Ansorge Austria 32 2.7k 1.3× 765 0.6× 281 0.4× 207 0.7× 697 2.7× 183 3.2k

Countries citing papers authored by William G. Hayward

Since Specialization
Citations

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

Fields of papers citing papers by William G. Hayward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William G. Hayward. 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 William G. Hayward. The network helps show where William G. Hayward may publish in the future.

Co-authorship network of co-authors of William G. Hayward

This figure shows the co-authorship network connecting the top 25 collaborators of William G. Hayward. A scholar is included among the top collaborators of William G. Hayward 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 William G. Hayward. William G. Hayward 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.
Hayward, William G., et al.. (2024). Two faces of holistic face processing: Facilitation and interference underlying part-whole and composite effects. Journal of Vision. 24(11). 13–13.
2.
Hayward, William G., et al.. (2022). All-or-none neural mechanisms underlying face categorization: evidence from the N170. Cerebral Cortex. 33(3). 777–793. 2 indexed citations
3.
Hayward, William G., et al.. (2018). Optimal face recognition performance involves a balance between global and local information processing: Evidence from cultural difference.. Cognitive Science. 2 indexed citations
4.
Thornton, Ian M., et al.. (2018). Other-race faces are given more weight than own-race faces when assessing the composition of crowds. Vision Research. 157. 159–168. 10 indexed citations
5.
Cristino, Filipe, et al.. (2015). Stereo Disparity Facilitates View Generalization during Shape Recognition for Solid Multipart Objects. Quarterly Journal of Experimental Psychology. 68(12). 2419–2436. 11 indexed citations
6.
Crookes, Kate, et al.. (2015). How Well Do Computer-Generated Faces Tap Face Expertise?. PLoS ONE. 10(11). e0141353–e0141353. 70 indexed citations
7.
Crookes, Kate, et al.. (2014). Caucasian and Asian eye movement patterns in face recognition: A computational exploration using hidden Markov models. Journal of Vision. 14(10). 1212–1212. 3 indexed citations
8.
Hayward, William G., et al.. (2013). Eye movements for scrambled faces. Journal of Vision. 13(9). 398–398. 2 indexed citations
9.
Hayward, William G., et al.. (2013). Visual search. Wiley Interdisciplinary Reviews Cognitive Science. 4(4). 415–429. 31 indexed citations
10.
Hayward, William G., Kate Crookes, & Gillian Rhodes. (2013). The other-race effect: Holistic coding differences and beyond. Visual Cognition. 21(9-10). 1224–1247. 67 indexed citations
11.
Harris, Irina M., Alexandra Murray, William G. Hayward, Claire O’Callaghan, & Sally Andrews. (2012). Repetition blindness reveals differences between the representations of manipulable and nonmanipulable objects.. Journal of Experimental Psychology Human Perception & Performance. 38(5). 1228–1241. 11 indexed citations
12.
Zhou, Guomei, et al.. (2011). Inconsistent individual personality description eliminates the other-race effect. Psychonomic Bulletin & Review. 18(5). 870–876. 8 indexed citations
13.
Rhodes, Gillian, Louise Ewing, William G. Hayward, et al.. (2009). Contact and other‐race effects in configural and component processing of faces. British Journal of Psychology. 100(4). 717–728. 65 indexed citations
14.
Browne, Marilyn L., C. C. Vernon, Véronique Pagé, et al.. (2007). Fortification of selected foodstuffs with folic acid in the UK: consumer research carried out to inform policy recommendations. Journal of Public Health. 30(1). 23–29. 14 indexed citations
15.
Gauthier, L., Alan C.‐N. Wong, William G. Hayward, & Olivia S. Cheung. (2006). Font Tuning Associated with Expertise in Letter Perception. Perception. 35(4). 541–559. 41 indexed citations
16.
Zhou, Guomei, Xiaolan Fu, William G. Hayward, Vance Locke, & Elizabeth Pellicano. (2005). Cultural Difference in the Application of the Diagnosticity Principle to Schematic Faces. Journal of Cognition and Culture. 5(1-2). 240–247. 1 indexed citations
17.
Wong, Alan C.‐N. & William G. Hayward. (2005). Constraints on View Combination: Effects of Self-Occlusion and Differences Among Familiar and Novel Views.. Journal of Experimental Psychology Human Perception & Performance. 31(1). 110–121. 13 indexed citations
18.
Curby, Kim M., William G. Hayward, & L. Gauthier. (2004). Laterality effects in the recognition of depth-rotated novel objects. Cognitive Affective & Behavioral Neuroscience. 4(1). 100–111. 20 indexed citations
19.
Hayward, William G.. (2003). After the viewpoint debate: where next in object recognition?. Trends in Cognitive Sciences. 7(10). 425–427. 57 indexed citations
20.
Hayward, William G. & Michael J. Tarr. (2000). Differing views on views: comments on Biederman and Bar (1999). Vision Research. 40(28). 3895–3899. 18 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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