Victoria Leong

3.0k total citations · 1 hit paper
50 papers, 1.8k citations indexed

About

Victoria Leong is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Victoria Leong has authored 50 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 25 papers in Developmental and Educational Psychology and 14 papers in Experimental and Cognitive Psychology. Recurrent topics in Victoria Leong's work include Child and Animal Learning Development (11 papers), Reading and Literacy Development (10 papers) and Neural dynamics and brain function (9 papers). Victoria Leong is often cited by papers focused on Child and Animal Learning Development (11 papers), Reading and Literacy Development (10 papers) and Neural dynamics and brain function (9 papers). Victoria Leong collaborates with scholars based in United Kingdom, Singapore and South Sudan. Victoria Leong's co-authors include Usha Goswami, Sam Wass, Stanimira Georgieva, Kaili Clackson, Valdas Noreika, Fruzsina Soltész, Elizabeth M. Byrne, Jenny Thomson, Emily Phillips and Ira Marriott Haresign and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature reviews. Neuroscience and PLoS ONE.

In The Last Decade

Victoria Leong

47 papers receiving 1.8k 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
Victoria Leong United Kingdom 24 1.2k 793 397 323 134 50 1.8k
Eloisa Valenza Italy 20 1.5k 1.2× 652 0.8× 305 0.8× 643 2.0× 93 0.7× 47 1.9k
Gedeon O. Deák United States 26 776 0.6× 1.4k 1.8× 582 1.5× 327 1.0× 190 1.4× 72 2.0k
Gert Westermann United Kingdom 20 646 0.5× 934 1.2× 297 0.7× 430 1.3× 71 0.5× 90 1.6k
Isabell Wartenburger Germany 28 2.0k 1.7× 860 1.1× 420 1.1× 623 1.9× 102 0.8× 83 2.6k
Chiara Turati Italy 27 1.7k 1.4× 650 0.8× 553 1.4× 988 3.1× 128 1.0× 91 2.2k
Stefanie Hoehl Germany 32 1.9k 1.5× 1.2k 1.5× 1.1k 2.9× 426 1.3× 228 1.7× 113 2.9k
Vincent M. Reid United Kingdom 27 1.4k 1.2× 1.1k 1.4× 874 2.2× 390 1.2× 201 1.5× 72 2.2k
Elina Pihko Finland 26 1.5k 1.2× 610 0.8× 269 0.7× 437 1.4× 45 0.3× 47 2.0k
Casey Lew‐Williams United States 23 895 0.7× 1.5k 1.9× 164 0.4× 403 1.2× 93 0.7× 67 2.1k
Elisa Di Giorgio Italy 16 627 0.5× 301 0.4× 338 0.9× 296 0.9× 282 2.1× 22 1.2k

Countries citing papers authored by Victoria Leong

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Leong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Leong

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Leong. A scholar is included among the top collaborators of Victoria Leong 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 Victoria Leong. Victoria Leong 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.
Ding, Yi, et al.. (2026). Decoding Covert Speech from EEG by Functional Areas Spatio-Temporal Transformer. IEEE Journal of Biomedical and Health Informatics. PP. 1–14.
2.
Luppi, Andrea I., Pedro A. M. Mediano, Victoria Leong, et al.. (2025). Towards an informational account of interpersonal coordination. Nature reviews. Neuroscience. 27(2). 121–137.
4.
Reindl, Vanessa, et al.. (2024). Classroom-based learning dynamics: the role of interbrain synchrony. Trends in Cognitive Sciences. 28(12). 1063–1065. 4 indexed citations
5.
Augustine, George J, et al.. (2023). Synchrony in parent‐offspring social interactions across development: A cross‐species review of rodents and humans. Journal of Neuroendocrinology. 35(7). e13241–e13241. 6 indexed citations
6.
Neale, Dave, et al.. (2023). Parent–infant affect synchrony during social and solo play. Philosophical Transactions of the Royal Society B Biological Sciences. 378(1875). 20210482–20210482. 4 indexed citations
8.
Santamaria, Lorena, et al.. (2022). Learning at your brain’s rhythm: individualized entrainment boosts learning for perceptual decisions. Cerebral Cortex. 33(9). 5382–5394. 4 indexed citations
9.
Leong, Victoria, et al.. (2021). A New Remote Guided Method for Supervised Web-Based Cognitive Testing to Ensure High Quality Data. PsyArXiv (OSF Preprints). 1 indexed citations
10.
Leong, Victoria, et al.. (2021). Using Optogenetic Dyadic Animal Models to Elucidate the Neural Basis for Human Parent–Infant Social Knowledge Transmission. Frontiers in Neural Circuits. 15. 731691–731691. 3 indexed citations
11.
Leong, Victoria, et al.. (2021). A New Remote Guided Method for Supervised Web-Based Cognitive Testing to Ensure High-Quality Data: Development and Usability Study. Journal of Medical Internet Research. 24(1). e28368–e28368. 12 indexed citations
12.
Sela, Yaron, Lorena Santamaria, Yair Amichai‐Hamburger, & Victoria Leong. (2020). Towards a Personalized Multi-Domain Digital Neurophenotyping Model for the Detection and Treatment of Mood Trajectories. Sensors. 20(20). 5781–5781. 2 indexed citations
13.
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
14.
Wass, Sam, Valdas Noreika, Stanimira Georgieva, et al.. (2018). Parental neural responsivity to infants’ visual attention: How mature brains influence immature brains during social interaction. PLoS Biology. 16(12). e2006328–e2006328. 89 indexed citations
15.
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 →
16.
Wilson, Angela, et al.. (2015). Awareness of Rhythm Patterns in Speech and Music in Children with Specific Language Impairments. Frontiers in Human Neuroscience. 9. 672–672. 67 indexed citations
17.
Leong, Victoria & Usha Goswami. (2015). Acoustic-Emergent Phonology in the Amplitude Envelope of Child-Directed Speech. PLoS ONE. 10(12). e0144411–e0144411. 84 indexed citations
18.
Leong, Victoria & Usha Goswami. (2014). Impaired extraction of speech rhythm from temporal modulation patterns in speech in developmental dyslexia. Frontiers in Human Neuroscience. 8. 96–96. 48 indexed citations
19.
Goswami, Usha & Victoria Leong. (2013). Speech rhythm and temporal structure: Converging perspectives?. Laboratory Phonology Journal of the Association for Laboratory Phonology. 4(1). 84 indexed citations
20.
Leong, Victoria, Richard E. Turner, Michael A. Stone, & Usha Goswami. (2011). Spoken Nursery Rhymes Have a Fractal Rhythmic Structure - Evidence from Patterns of Slow Amplitude Modulation (AM). Cognitive Science. 33(33). 1 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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