Faye Skelton

560 total citations
20 papers, 267 citations indexed

About

Faye Skelton is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Faye Skelton has authored 20 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 14 papers in Computer Vision and Pattern Recognition and 10 papers in Social Psychology. Recurrent topics in Faye Skelton's work include Face Recognition and Perception (19 papers), Face recognition and analysis (13 papers) and Deception detection and forensic psychology (10 papers). Faye Skelton is often cited by papers focused on Face Recognition and Perception (19 papers), Face recognition and analysis (13 papers) and Deception detection and forensic psychology (10 papers). Faye Skelton collaborates with scholars based in United Kingdom, Sweden and Canada. Faye Skelton's co-authors include Charlie D. Frowd, Peter Hancock, Alex H. McIntyre, Melanie Pitchford, Laura K. Holden, Charity Brown, James Michael Lampinen, Brian Coates, Colin G. Prosser and Dennis C. Hay and has published in prestigious journals such as Perspectives on Psychological Science, Ergonomics and Applied Cognitive Psychology.

In The Last Decade

Faye Skelton

19 papers receiving 263 citations

Peers

Faye Skelton
Comparison fields: 5 of 34
  • Cognitive Neuroscience 237
  • Computer Vision and Pattern Recognition 174
  • Social Psychology 94
  • Experimental and Cognitive Psychology 61
  • Signal Processing 26
Replace Hayley Ness with:
Hayley Ness United Kingdom
James D. Dunn Australia
Alex H. McIntyre United Kingdom
Alejandro J. Estudillo United Kingdom
Christopher A. Longmore United Kingdom
Yetta Kwailing Wong Hong Kong
Patricia A George United Kingdom
Simone Favelle Australia
Angela Gosling United Kingdom
Clément Canonne France
Hayley Ness United Kingdom View profile →
Citations per field, relative to Faye Skelton
Faye Skelton · 1×
Citations per year, relative to Faye Skelton
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Countries citing papers authored by Faye Skelton

Since Specialization
Citations

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

Fields of papers citing papers by Faye Skelton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faye Skelton

This figure shows the co-authorship network connecting the top 25 collaborators of Faye Skelton. A scholar is included among the top collaborators of Faye Skelton 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 Faye Skelton. Faye Skelton 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
# Work Indexed citations
1 1
2 0
3 4
4 9
5 7
6 8
7 23
8 4
9 8
10 19
11 33
12 23
13 46
14 9
15 21
16
Witness interviews: does recall of relational information improve identifiability of a facial composite?
2
17 17
18
Catching more offenders with EvoFIT Facial Composites: Lab Research and Police Field Trials
25
19 7
20
Do children utilise motion when recognising faces
1

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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