Peter Hancock

11.7k total citations
247 papers, 7.5k citations indexed

About

Peter Hancock is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Peter Hancock has authored 247 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Cognitive Neuroscience, 75 papers in Computer Vision and Pattern Recognition and 39 papers in Experimental and Cognitive Psychology. Recurrent topics in Peter Hancock's work include Face Recognition and Perception (82 papers), Face recognition and analysis (66 papers) and Evolutionary Psychology and Human Behavior (30 papers). Peter Hancock is often cited by papers focused on Face Recognition and Perception (82 papers), Face recognition and analysis (66 papers) and Evolutionary Psychology and Human Behavior (30 papers). Peter Hancock collaborates with scholars based in United Kingdom, Australia and United States. Peter Hancock's co-authors include Vicki Bruce, A. Mike Burton, Deborah M. Riby, Andrew J. Boulton, Charlie D. Frowd, J.R. Nicholls, Roland Baddeley, Zoë Henderson, Leslie S. Smith and Anthony C. Little and has published in prestigious journals such as PLoS ONE, Journal of Applied Psychology and Trends in Cognitive Sciences.

In The Last Decade

Peter Hancock

241 papers receiving 7.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Hancock United Kingdom 43 3.8k 2.3k 1.7k 892 590 247 7.5k
Gerhard Roth Germany 42 1.8k 0.5× 1.3k 0.6× 289 0.2× 650 0.7× 415 0.7× 264 7.6k
Shu Li China 67 7.7k 2.0× 155 0.1× 2.8k 1.6× 1.6k 1.8× 695 1.2× 528 16.7k
Neil Burgess United Kingdom 95 21.5k 5.7× 1.0k 0.5× 2.7k 1.6× 2.2k 2.5× 4.8k 8.1× 361 38.9k
Robert A. King United States 65 4.3k 1.1× 1.3k 0.6× 1.3k 0.7× 1.0k 1.1× 432 0.7× 253 15.8k
David M. Lane United Kingdom 43 1.5k 0.4× 1.4k 0.6× 662 0.4× 383 0.4× 270 0.5× 308 8.3k
David M. Johnson United States 31 1.2k 0.3× 343 0.2× 1.3k 0.8× 748 0.8× 1.8k 3.1× 109 7.7k
John M. Henderson United States 64 10.5k 2.8× 5.8k 2.6× 2.7k 1.6× 1.2k 1.4× 169 0.3× 264 15.1k
Bruce A. MacDonald New Zealand 49 462 0.1× 913 0.4× 188 0.1× 2.4k 2.7× 904 1.5× 251 7.7k
Michael J. Singer United States 37 1.0k 0.3× 976 0.4× 465 0.3× 1.3k 1.4× 541 0.9× 107 9.5k
Tony J. Prescott United Kingdom 40 3.9k 1.0× 260 0.1× 315 0.2× 880 1.0× 148 0.3× 160 6.8k

Countries citing papers authored by Peter Hancock

Since Specialization
Citations

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

Fields of papers citing papers by Peter Hancock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Hancock. 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 Peter Hancock. The network helps show where Peter Hancock may publish in the future.

Co-authorship network of co-authors of Peter Hancock

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Hancock. A scholar is included among the top collaborators of Peter Hancock 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 Peter Hancock. Peter Hancock 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.
Carragher, Daniel J., et al.. (2024). Benchmarking automation-aided performance in a forensic face matching task. Applied Ergonomics. 121. 104364–104364. 1 indexed citations
2.
Carragher, Daniel J. & Peter Hancock. (2024). The Wisdom of the Crowd Can Unmask Faces. Applied Cognitive Psychology. 38(5). 1 indexed citations
3.
Hancock, Peter, et al.. (2024). Evidence for different visual processing strategy for non-face stimuli in developmental prosopagnosia. Visual Cognition. 32(1). 1–12. 1 indexed citations
4.
Ritchie, Kay L., Daniel J. Carragher, Josh P. Davis, et al.. (2024). Face masks and fake masks: the effect of real and superimposed masks on face matching with super-recognisers, typical observers, and algorithms. Cognitive Research Principles and Implications. 9(1). 5–5. 4 indexed citations
5.
Brown, Charity, Emma Portch, James Michael Lampinen, et al.. (2022). The impact of weapons and unusual objects on the construction of facial composites. Psychology Crime and Law. 30(3). 207–228. 3 indexed citations
6.
Carragher, Daniel J. & Peter Hancock. (2022). Simulated automated facial recognition systems as decision-aids in forensic face matching tasks.. Journal of Experimental Psychology General. 152(5). 1286–1304. 17 indexed citations
7.
Rabagliati, Hugh, Martin Corley, Benjamin Dering, et al.. (2020). Many Labs 5: Registered Replication of Crosby, Monin, and Richardson (2008). Advances in Methods and Practices in Psychological Science. 3(3). 353–365. 1 indexed citations
8.
Hancock, Peter. (2014). Book Review Hornbills of the World: a Photographic Guide By Pilai Poonswad, Alan Kemp and Morten Strange, with photography by Tim Laman and others (2013). Ostrich. 85(1). 2 indexed citations
9.
Frowd, Charlie D., Faye Skelton, Anna Williams, et al.. (2013). Configural and featural information in facial-composite images. Science & Justice. 54(3). 215–227. 19 indexed citations
10.
Wilkinson, Caroline, Vicki Bruce, Peter Hancock, et al.. (2012). Craniofacial Identification. Cambridge University Press eBooks. 45 indexed citations
11.
Frowd, Charlie D., et al.. (2012). Evolving an identifiable face of a criminal. CLOK (University of Central Lancashire). 2 indexed citations
12.
Hancock, Peter, et al.. (2012). Aegean: Compact source finding in radio images. ascl. 1 indexed citations
13.
Hancock, Peter, et al.. (2011). Testing Facial Composite Construction under Witness Stress. Stirling Online Research Repository (University of Stirling). 3(3). 65–71. 9 indexed citations
14.
Hancock, Peter, Trudi Cooper, & Susanne Bahn. (2009). Evaluation of a Youth CaLD (Cultural and Linguistically Diverse) Sports Program in Western Australia: Resettling refugees using sport as a conduit to integration. Australasian Journal of Paramedicine. 8(2). 1 indexed citations
15.
Guilfoyle, Andrew & Peter Hancock. (2009). Discourses and refugees’ social inclusion: Introduction to method and issues. Australasian Journal of Paramedicine. 8(2). 123–133. 5 indexed citations
16.
Frowd, Charlie D., Vicki Bruce, & Peter Hancock. (2008). Changing the face of criminal identification. Psychologist. 21(8). 668–672. 10 indexed citations
17.
Hancock, Peter, Vicki Bruce, & A. Mike Burton. (2000). Recognition of unfamiliar faces. Trends in Cognitive Sciences. 4(9). 330–337. 463 indexed citations
18.
Hancock, Peter, Vicki Bruce, & A. Mike Burton. (1998). A comparison of two computer-based face identification systems with human perceptions of faces. Vision Research. 38(15-16). 2277–2288. 55 indexed citations
19.
Hancock, Peter, Vicki Bruce, & A. Mike Burton. (1997). Testing Principal Component Representations For Faces. 2 indexed citations
20.
Hancock, Peter. (1992). Recombination Operators for the Design of Neural Nets by Genetic Algorithm.. 443–452. 7 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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