Mike Burton

Also known as A. Mike Burton, A Burton, A M Burton, A. Burton, A. M. Burton

Mike Burton is a psychology researcher whose work on face perception has applications in computer-based face recognition and forensic settings. At the University of Nottingham, he earned a joint-honours BSc in mathematics and psychology in 1980 and a psychology PhD in 1983, then lectured at Nottingham and Stirling before becoming Professor of Psychology at Glasgow in 1994. His work included a computational model of familiar faces in 1999, image-averaging research in 2005, the Glasgow Face Matching Test in 2010, and a 2016 study that found Met Police super-recognisers outperformed control groups. He became a Fellow of the British Academy in 2017 and of the Academy of Social Sciences in 2019, received the British Psychological Society's Research Board Lifetime Achievement Award in 2025, and delivered the Experimental Psychology Society's Bartlett Lecture in July 2025. He is Professor of Psychology at York and a University Professorial Fellow at Bond; his 2026 publications examined polling-clerk face-matching errors and described an accessible method for constructing animated avatars.

Now at: University of York and Bond University
Born: 1959
Works: 318
Links: Google Scholar

Years link to their sources. Publication numbers from OpenAlex, as of 22 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.

Timeline

1980–1992

Nottingham degrees and lectureship

He earns a joint-honours BSc in mathematics and psychology at the University of Nottingham in 1980 and completes a PhD in psychology there in 1983. From 1984 to 1992, he lectures in psychology at the University of Nottingham.
1992–1999

A Glasgow professorship and face model

At the University of Stirling, he lectures in psychology from 1992 to 1994 and becomes Professor of Psychology at the University of Glasgow in 1994. His early work spans social psychology and AI, and he begins studying face perception in the early 1990s. In 1999, he, Vicki Bruce and Peter Hancock publish “From pixels to people: A model of familiar face recognition,” which combines principal components analysis of face images with an interactive activation and competition architecture.
2005

Image averages improve recognition

In 2005, he, Rob Jenkins, Peter Hancock and David White show that computational systems using averaged face images outperform systems built from collections of individual images.
2010

The Glasgow Face Matching Test

In 2010, he, David White and Allan McNeill publish the Glasgow Face Matching Test, which asks viewers to make same-or-different judgments about pairs of unfamiliar faces.
2011–2016

Met Police super-recognisers

He becomes Professor of Psychology at the University of Aberdeen in 2011 and joins the University of York as professor in 2015. In 2016, as head of York's FaceVar Lab, he reports that Met Police super-recognisers outperform control groups across easy and difficult viewing conditions with familiar and unfamiliar faces.
2017–2025

Fellowships and a lifetime award

He is elected a Fellow of the British Academy in 2017 and a Fellow of the Academy of Social Sciences in 2019. In 2025, he receives the British Psychological Society's Research Board Lifetime Achievement Award and delivers the Experimental Psychology Society's Bartlett Lecture on face recognition at its July 2025 meeting.
2026

Face matching and animated avatars

In February 2026, he and Izzy Dimmock and Becca Salton report that polling clerks make errors on standard face-matching tests. In September 2026, he and Rachael Taylor, Lisa Huerta and Markus Bindemann publish an accessible method for constructing high-fidelity avatars with animated eye gaze and facial expressions.
As of October 2026

York professor and Bond fellow

He becomes Professor of Psychology at the University of York in 2015 and is a University Professorial Fellow at Bond University as of October 2026. His research focuses on face perception and has applications in computer-based face recognition and forensic settings.