Ted Ruffman

12.4k total citations · 3 hit papers
124 papers, 8.0k citations indexed

About

Ted Ruffman is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Ted Ruffman has authored 124 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cognitive Neuroscience, 55 papers in Developmental and Educational Psychology and 43 papers in Social Psychology. Recurrent topics in Ted Ruffman's work include Child and Animal Learning Development (50 papers), Face Recognition and Perception (28 papers) and Aging and Gerontology Research (21 papers). Ted Ruffman is often cited by papers focused on Child and Animal Learning Development (50 papers), Face Recognition and Perception (28 papers) and Aging and Gerontology Research (21 papers). Ted Ruffman collaborates with scholars based in New Zealand, United Kingdom and Australia. Ted Ruffman's co-authors include Josef Perner, Lance Slade, Mele Taumoepeau, Julie D. Henry, Susan Sullivan, Louise H. Phillips, Susan Leekam, Vicki Livingstone, Phoebe E. Bailey and Wendy Garnham and has published in prestigious journals such as Psychological Bulletin, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Ted Ruffman

121 papers receiving 7.6k citations

Hit Papers

A meta-analytic review of emotion recognition and aging: ... 2002 2026 2010 2018 2008 2002 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ted Ruffman New Zealand 47 4.1k 3.1k 2.7k 1.5k 1.5k 124 8.0k
Patricia J. Bauer United States 50 5.1k 1.2× 3.8k 1.2× 1.1k 0.4× 1.1k 0.7× 639 0.4× 232 7.9k
Stephanie M. Carlson United States 48 6.4k 1.6× 3.9k 1.2× 2.7k 1.0× 2.4k 1.6× 4.6k 3.1× 105 13.6k
Heinz Wimmer Austria 52 12.9k 3.2× 7.1k 2.3× 2.5k 0.9× 1.6k 1.0× 966 0.6× 102 15.6k
Claire Hughes United Kingdom 65 6.2k 1.5× 4.5k 1.4× 3.0k 1.1× 1.7k 1.1× 4.8k 3.2× 201 13.6k
Janet Wilde Astington Canada 32 6.0k 1.5× 2.5k 0.8× 2.3k 0.9× 1.2k 0.8× 1.2k 0.8× 63 7.7k
Harlene Hayne New Zealand 48 3.6k 0.9× 3.2k 1.0× 1.6k 0.6× 671 0.4× 896 0.6× 155 6.4k
Louis J. Moses United States 31 4.2k 1.0× 2.5k 0.8× 2.1k 0.8× 1.3k 0.8× 1.2k 0.8× 41 6.9k
Marion Perlmutter United States 32 1.6k 0.4× 1.2k 0.4× 873 0.3× 990 0.6× 756 0.5× 87 4.2k
Stephen A. Petrill United States 48 2.2k 0.5× 1.0k 0.3× 784 0.3× 2.2k 1.5× 2.0k 1.3× 170 7.2k
Ian A. Apperly United Kingdom 47 4.1k 1.0× 3.8k 1.2× 3.2k 1.2× 1.7k 1.1× 723 0.5× 122 7.6k

Countries citing papers authored by Ted Ruffman

Since Specialization
Citations

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

Fields of papers citing papers by Ted Ruffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ted Ruffman

This figure shows the co-authorship network connecting the top 25 collaborators of Ted Ruffman. A scholar is included among the top collaborators of Ted Ruffman 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 Ted Ruffman. Ted Ruffman 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.
Ruffman, Ted, Kana Imuta, & Virginia Slaughter. (2025). A Review and Critique of Studies Examining Empathy in Infants. Human Development. 69(4). 171–190. 1 indexed citations
2.
Yong, Min Hooi, et al.. (2024). Effects of age on behavioural and eye gaze on Theory of Mind using movie for social cognition. Quarterly Journal of Experimental Psychology. 77(12). 2476–2487.
3.
Ruffman, Ted, et al.. (2024). Theory of Mind Development in Middle Childhood and Adolescence: Accuracy and Preference for Mental-State Reasoning. Journal of Cognition and Development. 26(2). 274–298.
4.
Ruffman, Ted, et al.. (2023). Recognition of facial emotions across the lifespan: 8‐year‐olds resemble older adults. British Journal of Developmental Psychology. 41(2). 128–139. 2 indexed citations
5.
Ruffman, Ted. (2023). Belief it or not: How children construct a theory of mind. Child Development Perspectives. 17(2). 106–112. 8 indexed citations
6.
Slaughter, Virginia, et al.. (2023). Not just quantity but also quality of language: Cross-cultural comparisons of maternal mental state talk in New Zealand, Australia, and China. PLoS ONE. 18(3). e0282480–e0282480. 4 indexed citations
7.
Ruffman, Ted, et al.. (2022). General cognitive decline does not account for older adults’ worse emotion recognition and theory of mind. Scientific Reports. 12(1). 6808–6808. 10 indexed citations
8.
Hunter, John, et al.. (2020). Chinese children's in-group favoritism is affected by age and gender. Journal of Applied Developmental Psychology. 72. 101232–101232. 4 indexed citations
9.
Ruffman, Ted. (2020). What Causes Age-Related Emotion Recognition Decline?. 1–3. 1 indexed citations
10.
Bailey, Phoebe E., Gillian Slessor, Matthias Rieger, et al.. (2015). Trust and trustworthiness in young and older adults.. Psychology and Aging. 30(4). 977–986. 41 indexed citations
11.
Bailey, Phoebe E., et al.. (2015). Age-related similarities and differences in first impressions of trustworthiness. Cognition & Emotion. 30(5). 1017–1026. 29 indexed citations
12.
Taumoepeau, Mele & Ted Ruffman. (2015). Self-awareness moderates the relation between maternal mental state language about desires and children’s mental state vocabulary. Journal of Experimental Child Psychology. 144. 114–129. 21 indexed citations
13.
Yong, Min Hooi & Ted Ruffman. (2014). Is that fear? Domestic dogs’ use of social referencing signals from an unfamiliar person. Behavioural Processes. 110. 74–81. 15 indexed citations
14.
Yong, Min Hooi & Ted Ruffman. (2014). Emotional contagion: Dogs and humans show a similar physiological response to human infant crying. Behavioural Processes. 108. 155–165. 74 indexed citations
15.
Bailey, Phoebe E., et al.. (2014). Age differences in conscious versus subconscious social perception: The influence of face age and valence on gaze following.. Psychology and Aging. 29(3). 491–502. 22 indexed citations
16.
Slessor, Gillian, Phoebe E. Bailey, Peter G. Rendell, et al.. (2014). Examining the time course of young and older adults’ mimicry of enjoyment and nonenjoyment smiles.. Emotion. 14(3). 532–544. 15 indexed citations
17.
Ruffman, Ted, Janice Murray, Jamin Halberstadt, & Mele Taumoepeau. (2010). Verbosity and emotion recognition in older adults.. Psychology and Aging. 25(2). 492–497. 47 indexed citations
18.
Ruffman, Ted, et al.. (2003). How language relates to belief, desire, and emotion understanding. Cognitive Development. 18(2). 139–158. 152 indexed citations
19.
Ruffman, Ted, et al.. (1998). Older (but not younger) siblings facilitate false belief understanding.. Developmental Psychology. 34(1). 161–174. 237 indexed citations
20.
Perner, Josef, Ted Ruffman, & Susan Leekam. (1994). Theory of Mind Is Contagious: You Catch It from Your Sibs. Child Development. 65(4). 1228–1228. 234 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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