Peter Hancock

11.8k citations
276 papers · 8.5k · h-index 45

Impact in

Papers in

Peter Hancock

266 papers receiving 7.9k citations

Peers

Peter Hancock
Comparison fields: 5 of 205
  • Cognitive Neuroscience 3.9k
  • Experimental and Cognitive Psychology 1.8k
  • Computer Vision and Pattern Recognition 2.5k
  • Developmental Neuroscience 264
  • Social Psychology 954
Replace Gerhard Roth with:
Gerhard Roth Germany
Shu Li China
D. M. Burt United Kingdom
Robert A. King United States
Neil Burgess United Kingdom
Uwe Windhorst United States
Frédéric Gosselin Canada
John M. Henderson United States
Per B. Brockhoff Denmark
Rune Haubo Bojesen Christensen Denmark
Peter Hancock relative to Gerhard Roth Germany Gerhard Roth's profile →
Citations per field
00.5×4.6×
Gerhard Roth · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Peter Hancock, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Hancock Line = papers co-authored together Peter Hancock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 276 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000481
2 1999439
3 2002308
4 2008291
5 2005243
6 1999214
7 2008213
8 1996204
9 2008193
10 1992191
11 2005185
12 2008180
13 2006152
14 2002151
15 2004116
16 2020114
17 1988113
18 2002112
19 2015109
20 1987105

About Peter Hancock

Peter Hancock is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Sociology and Political Science and Aerospace Engineering, having authored 276 papers that have together received 8.5k indexed citations. Recurring topics across this work include Face Recognition and Perception (88 papers), Face recognition and analysis (73 papers), Evolutionary Psychology and Human Behavior (32 papers), High-Temperature Coating Behaviors (27 papers), Face and Expression Recognition (19 papers), Deception detection and forensic psychology (19 papers), Metal and Thin Film Mechanics (15 papers) and Advanced ceramic materials synthesis (11 papers). The work is most often cited by research in Cognitive Neuroscience (3.9k citations), Experimental and Cognitive Psychology (1.8k citations), Computer Vision and Pattern Recognition (2.5k citations), Developmental Neuroscience (264 citations) and Social Psychology (954 citations). Peter Hancock has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Vicki Bruce, A. Mike Burton, Deborah M. Riby, Andrew J. Boulton, Charlie D. Frowd, J.R. Nicholls, Roland Baddeley, Leslie S. Smith, Zoë Henderson and Karen Greenwood. Their work appears in journals such as Australasian Journal of Paramedicine, Corrosion Science, Visual Cognition, Cognitive Research Principles and Implications and Materials Science and Technology.

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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