William G. Hayward
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 1%
- Computer Vision and Pattern Recognition top 1%
- Developmental and Educational Psychology top 5%
- Social Psychology top 5%
- Co-authors
- Gillian RhodesMichael J. TarrL. GauthierPepper WilliamsKate CrookesMintao ZhaoChris WinklerAdrian Schwaninger
- Topics
- Face Recognition and Perception (57 papers)Visual perception and processing mechanisms (30 papers)Evolutionary Psychology and Human Behavior (24 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Journals
- NeuronNature NeurosciencePLoS ONE
- Partner nations
- Hong KongAustraliaUnited States
In The Last Decade
William G. Hayward
84 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 112
- Cognitive Neuroscience 2.1k
- Experimental and Cognitive Psychology 1.2k
- Computer Vision and Pattern Recognition 706
- Developmental and Educational Psychology 299
- Social Psychology 254
Countries citing papers authored by William G. Hayward
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | Optimal face recognition performance involves a balance between global and local information processing: Evidence from cultural difference. | 2 |
| 5 | 10 | |
| 6 | 60 | |
| 7 | 70 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 29 | |
| 12 | 31 | |
| 13 | 11 | |
| 14 | 11 | |
| 15 | 14 | |
| 16 | 65 | |
| 17 | 8 | |
| 18 | 14 | |
| 19 | 13 | |
| 20 | 18 |
About William G. Hayward
William G. Hayward is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 88 papers that have together received 2.6k indexed citations. Recurring topics across this work include Face Recognition and Perception (57 papers), Visual perception and processing mechanisms (30 papers) and Evolutionary Psychology and Human Behavior (24 papers). The work is most often cited by research in Cognitive Neuroscience (2.1k citations), Experimental and Cognitive Psychology (1.2k citations) and Computer Vision and Pattern Recognition (706 citations). William G. Hayward has collaborated with scholars based in Hong Kong, Australia and United States. Frequent 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. Their work appears in journals such as Neuron, Nature Neuroscience and PLoS ONE.
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.