Sam Wass

4.5k total citations · 1 hit paper
89 papers, 2.8k citations indexed

About

Sam Wass is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Sam Wass has authored 89 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cognitive Neuroscience, 32 papers in Developmental and Educational Psychology and 26 papers in Social Psychology. Recurrent topics in Sam Wass's work include Child and Animal Learning Development (25 papers), Neuroendocrine regulation and behavior (19 papers) and Early Childhood Education and Development (14 papers). Sam Wass is often cited by papers focused on Child and Animal Learning Development (25 papers), Neuroendocrine regulation and behavior (19 papers) and Early Childhood Education and Development (14 papers). Sam Wass collaborates with scholars based in United Kingdom, Singapore and United States. Sam Wass's co-authors include Mark H. Johnson, Kaili Clackson, Victoria Leong, Kaśka Porayska‐Pomsta, Stanimira Georgieva, Linda Forssman, Gaia Scerif, Valdas Noreika, Tim J. Smith and Jukka Leppänen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sam Wass

83 papers receiving 2.7k citations

Hit Papers

Speaker gaze increases information coupling between infan... 2017 2026 2020 2023 2017 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam Wass United Kingdom 26 1.6k 666 589 476 462 89 2.8k
Terje Falck‐Ytter Sweden 32 2.2k 1.4× 1.1k 1.7× 705 1.2× 618 1.3× 499 1.1× 103 3.0k
Dima Amso United States 32 2.4k 1.6× 1.8k 2.7× 595 1.0× 770 1.6× 724 1.6× 85 5.0k
Martha D. Kaiser United States 25 1.9k 1.2× 391 0.6× 576 1.0× 188 0.4× 401 0.9× 33 2.3k
Sarah Lloyd‐Fox United Kingdom 31 1.8k 1.2× 602 0.9× 575 1.0× 152 0.3× 218 0.5× 68 3.2k
Teodora Gliga United Kingdom 38 2.8k 1.8× 1.3k 2.0× 426 0.7× 890 1.9× 951 2.1× 89 3.9k
Shawn E. Christ United States 31 1.7k 1.1× 442 0.7× 401 0.7× 131 0.3× 427 0.9× 78 3.1k
Fulvia Castelli United States 11 2.4k 1.5× 748 1.1× 911 1.5× 252 0.5× 450 1.0× 15 3.0k
Rachael Bedford United Kingdom 26 2.4k 1.5× 709 1.1× 236 0.4× 996 2.1× 1.1k 2.4× 72 3.3k
K. Suzanne Scherf United States 26 1.9k 1.2× 409 0.6× 253 0.4× 260 0.5× 435 0.9× 55 2.4k
Justin H. G. Williams United Kingdom 29 2.6k 1.7× 1.2k 1.8× 1.3k 2.2× 233 0.5× 601 1.3× 71 4.0k

Countries citing papers authored by Sam Wass

Since Specialization
Citations

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

Fields of papers citing papers by Sam Wass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Wass

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Wass. A scholar is included among the top collaborators of Sam Wass 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 Sam Wass. Sam Wass 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.
Sacrey, Lori‐Ann R., Lonnie Zwaigenbaum, Isabel M. Smith, et al.. (2025). Influence of a Short-Term Attention Intervention on the Attentional Skills of Toddlers With Suspected or Confirmed Autism Spectrum Disorder. Child Development. 96(6). 2176–2188.
2.
Goldenberg, Georg, et al.. (2025). Differential effects of an urban outdoor environment on 4–5 year old children's attention in school. Journal of Environmental Psychology. 104. 102589–102589.
3.
Amadó, Marta Perapoch, Emily Phillips, Giovanni Esposito, et al.. (2025). Who Leads and Who Follows? The Pathways to Joint Attention During Free-Flowing Interactions Change Over Developmental Time. Child Development. 96(3). 1112–1127.
4.
Klerk, Carina de, et al.. (2024). Learning to imitate facial expressions through sound. Developmental Review. 73. 101137–101137. 2 indexed citations
6.
Haresign, Ira Marriott, Emily Phillips, Megan Whitehorn, et al.. (2023). Gaze onsets during naturalistic infant-caregiver interaction associate with ‘sender’ but not ‘receiver’ neural responses, and do not lead to changes in inter-brain synchrony. Scientific Reports. 13(1). 3555–3555. 16 indexed citations
7.
Haresign, Ira Marriott, et al.. (2023). The development of the relationship between auditory and visual neural sensitivity and autonomic arousal from 6 m to 12 m. Developmental Cognitive Neuroscience. 63. 101289–101289. 1 indexed citations
8.
Kostyrka‐Allchorne, Katarzyna, et al.. (2022). Inhibitory deficits and symptoms of attention‐deficit hyperactivity disorder: How are they related to effortful control?. British Journal of Developmental Psychology. 41(1). 50–65. 7 indexed citations
9.
10.
Haresign, Ira Marriott, Emily Phillips, Megan Whitehorn, et al.. (2022). Measuring the temporal dynamics of inter-personal neural entrainment in continuous child-adult EEG hyperscanning data. Developmental Cognitive Neuroscience. 54. 101093–101093. 34 indexed citations
12.
Wass, Sam, et al.. (2021). Physiological stress, sustained attention, emotion regulation, and cognitive engagement in 12-month-old infants from urban environments.. Developmental Psychology. 57(8). 1179–1194. 5 indexed citations
13.
Haresign, Ira Marriott, Emily Phillips, Megan Whitehorn, et al.. (2021). Automatic classification of ICA components from infant EEG using MARA. Developmental Cognitive Neuroscience. 52. 101024–101024. 23 indexed citations
14.
Rose, Susan A., Sam Wass, Jeffery J. Jankowski, & Aleksandra Djukic. (2021). Measures of attention in Rett syndrome: Internal consistency reliability.. Neuropsychology. 35(6). 595–608. 2 indexed citations
15.
Clackson, Kaili, et al.. (2019). Do Helpful Mothers Help? Effects of Maternal Scaffolding and Infant Engagement on Cognitive Performance. Frontiers in Psychology. 10. 2661–2661. 3 indexed citations
16.
Santamaria, Lorena, Valdas Noreika, Stanimira Georgieva, et al.. (2019). Emotional valence modulates the topology of the parent-infant inter-brain network. NeuroImage. 207. 116341–116341. 85 indexed citations
17.
Neale, Dave, et al.. (2018). Toward a Neuroscientific Understanding of Play: A Dimensional Coding Framework for Analyzing Infant–Adult Play Patterns. Frontiers in Psychology. 9. 273–273. 8 indexed citations
18.
Leong, Victoria, et al.. (2017). Speaker gaze increases information coupling between infant and adult brains. Proceedings of the National Academy of Sciences. 114(50). 13290–13295. 200 indexed citations breakdown →
19.
Wass, Sam. (2014). Applying cognitive training to target executive functions during early development. Child Neuropsychology. 21(2). 150–166. 67 indexed citations
20.
Leppänen, Jukka, et al.. (2014). Widely applicable MATLAB routines for automated analysis of saccadic reaction times. Behavior Research Methods. 47(2). 538–548. 54 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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