Mike Coleman

1.7k total citations · 1 hit paper
17 papers, 1.1k citations indexed

About

Mike Coleman is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Mike Coleman has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 5 papers in Developmental and Educational Psychology and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Mike Coleman's work include Face Recognition and Perception (6 papers), Autism Spectrum Disorder Research (6 papers) and Green IT and Sustainability (3 papers). Mike Coleman is often cited by papers focused on Face Recognition and Perception (6 papers), Autism Spectrum Disorder Research (6 papers) and Green IT and Sustainability (3 papers). Mike Coleman collaborates with scholars based in United Kingdom, United States and Australia. Mike Coleman's co-authors include Ruth Campbell, John Swettenham, Elizabeth Milne, Dagmara Annaz, Lennart Martens, Steffen Neumann, Angel Pizarro, Andreas Römpp, Luisa Montecchi‐Palazzi and Henning Hermjakob and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Proceedings of the Royal Society B Biological Sciences and Journal of Autism and Developmental Disorders.

In The Last Decade

Mike Coleman

16 papers receiving 1.1k citations

Hit Papers

mzML—a Community Standard for Mass Spectrometry Data 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mike Coleman United Kingdom 11 470 429 331 222 107 17 1.1k
Dina L. Bai United States 22 217 0.5× 1.1k 2.6× 822 2.5× 173 0.8× 68 0.6× 40 2.1k
A. Çağlar Taş United States 9 188 0.4× 95 0.2× 38 0.1× 84 0.4× 75 0.7× 21 389
Curtis L. Barrett United States 14 56 0.1× 861 2.0× 40 0.1× 96 0.4× 132 1.2× 25 1.6k
Li Yi China 22 908 1.9× 99 0.2× 7 0.0× 213 1.0× 113 1.1× 90 1.5k
Jacob J. Michaelson United States 19 136 0.3× 781 1.8× 135 0.4× 18 0.1× 20 0.2× 65 1.3k
Elisabeth Oberzaucher Austria 17 116 0.2× 141 0.3× 65 0.2× 8 0.0× 271 2.5× 45 1.0k
David E. Presti United States 16 430 0.9× 246 0.6× 7 0.0× 33 0.1× 139 1.3× 23 1.1k
Chris Chandler United Kingdom 15 121 0.3× 481 1.1× 14 0.0× 20 0.1× 102 1.0× 53 1.2k
Anne-Dominique Devauchelle France 12 740 1.6× 49 0.1× 20 0.1× 334 1.5× 143 1.3× 12 971
David L. Lee United States 24 448 1.0× 132 0.3× 5 0.0× 579 2.6× 36 0.3× 79 1.8k

Countries citing papers authored by Mike Coleman

Since Specialization
Citations

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

Fields of papers citing papers by Mike Coleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Coleman

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Coleman. A scholar is included among the top collaborators of Mike Coleman 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 Mike Coleman. Mike Coleman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Coleman, Mike, et al.. (2016). The role of procedural memory in grammar and numeracy skills. Journal of Cognitive Psychology. 28(8). 899–908. 9 indexed citations
2.
Oliveira, Luis, et al.. (2015). Pre-installation challenges: classifying barriers to the introduction of smart home technology. Advances in computer science research. 11 indexed citations
3.
Stanković, Lina, Charlie Wilson, Jing Liao, et al.. (2015). Understanding domestic appliance use through their linkages to common activities. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 5 indexed citations
4.
Johnson, Greg, et al.. (2015). Butanol / Honda CRADA Report. 1 indexed citations
5.
Hargreaves, Tom, Richard Hauxwell‐Baldwin, Mike Coleman, et al.. (2015). Smart homes, control and energy management: How do smart home technologies influence control over energy use and domestic life?. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1022–1032. 20 indexed citations
6.
Blades, Mark, et al.. (2013). Learning new faces in typical and atypical populations of children. Scandinavian Journal of Psychology. 54(1). 10–13. 2 indexed citations
7.
Swettenham, John, et al.. (2012). Perception of Pointing from Biological Motion Point-Light Displays in Typically Developing Children and Children with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders. 43(6). 1437–1446. 17 indexed citations
8.
Kyle, Fiona, et al.. (2012). Speechreading Development in Deaf and Hearing Children: Introducing the Test of Child Speechreading. Journal of Speech Language and Hearing Research. 56(2). 416–426. 53 indexed citations
9.
Annaz, Dagmara, Ruth Campbell, Mike Coleman, Elizabeth Milne, & John Swettenham. (2011). Young Children with Autism Spectrum Disorder Do Not Preferentially Attend to Biological Motion. Journal of Autism and Developmental Disorders. 42(3). 401–408. 98 indexed citations
10.
Martens, Lennart, Matthew Chambers, Marc Sturm, et al.. (2010). mzML—a Community Standard for Mass Spectrometry Data. Molecular & Cellular Proteomics. 10(1). R110.000133–R110.000133. 507 indexed citations breakdown →
11.
Vance, Maggie, Stuart Rosen, & Mike Coleman. (2009). Assessing speech perception in young children and relationships with language skills. International Journal of Audiology. 48(10). 708–717. 26 indexed citations
12.
Annaz, Dagmara, Anna Remington, Elizabeth Milne, et al.. (2009). Development of motion processing in children with autism. Developmental Science. 13(6). 826–838. 107 indexed citations
13.
Blades, Mark, et al.. (2009). Unfamiliar face recognition in children with autistic spectrum disorders. Infant and Child Development. 18(6). 545–555. 8 indexed citations
14.
Swettenham, John, et al.. (2003). Does the perception of moving eyes trigger reflexive visual orienting in autism?. Philosophical Transactions of the Royal Society B Biological Sciences. 358(1430). 325–334. 108 indexed citations
15.
Want, Stephen C., Olivier Pascalis, Mike Coleman, & Mark Blades. (2003). Recognizing people from the inner or outer parts of their faces: Developmental data concerning ‘unfamiliar’ faces. British Journal of Developmental Psychology. 21(1). 125–135. 63 indexed citations
16.
Lyons, Michael J., et al.. (2000). Viewpoint Dependent Facial Expressions Recognition Japanese Noh Masks and the Human Face. eScholarship (California Digital Library). 22(22).
17.
Lyons, Michael J., Ruth Campbell, André Plante, et al.. (2000). The Noh mask effect: vertical viewpoint dependence of facial expression perception. Proceedings of the Royal Society B Biological Sciences. 267(1459). 2239–2245. 46 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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