Victoria Simms

2.5k total citations · 1 hit paper
61 papers, 1.4k citations indexed

About

Victoria Simms is a scholar working on Statistics and Probability, Education and Developmental and Educational Psychology. According to data from OpenAlex, Victoria Simms has authored 61 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistics and Probability, 33 papers in Education and 27 papers in Developmental and Educational Psychology. Recurrent topics in Victoria Simms's work include Cognitive and developmental aspects of mathematical skills (39 papers), Mathematics Education and Teaching Techniques (19 papers) and Reading and Literacy Development (18 papers). Victoria Simms is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (39 papers), Mathematics Education and Teaching Techniques (19 papers) and Reading and Literacy Development (18 papers). Victoria Simms collaborates with scholars based in United Kingdom, Canada and United States. Victoria Simms's co-authors include Camilla Gilmore, Samantha Johnson, Lucy Cragg, Neil Marlow, Sarah Clayton, Matthew Inglis, Nina Attridge, John N. Towse, David J. Purpura and Dieter Wolke and has published in prestigious journals such as PLoS ONE, Journal of Educational Psychology and Developmental Psychology.

In The Last Decade

Victoria Simms

53 papers receiving 1.3k citations

Hit Papers

Individual Differences in Inhibitory Control, Not Non-Ver... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victoria Simms United Kingdom 18 801 778 557 207 164 61 1.4k
Pirjo Aunio Finland 24 1.3k 1.6× 1.1k 1.4× 792 1.4× 68 0.3× 93 0.6× 78 1.8k
Tuire Koponen Finland 19 841 1.0× 987 1.3× 874 1.6× 28 0.1× 175 1.1× 47 1.5k
Deepthi Kamawar Canada 14 1.2k 1.4× 1.2k 1.6× 933 1.7× 27 0.1× 187 1.1× 26 1.7k
Sebastian Suggate Germany 23 855 1.1× 295 0.4× 1.1k 2.0× 97 0.5× 181 1.1× 55 1.6k
Michael von Aster Germany 23 1.1k 1.3× 1.7k 2.2× 1.3k 2.3× 44 0.2× 544 3.3× 78 2.2k
Sheri‐Lynn Skwarchuk Canada 14 1.9k 2.4× 1.7k 2.1× 1.1k 1.9× 33 0.2× 132 0.8× 28 2.3k
Pekka Räsänen Finland 18 767 1.0× 824 1.1× 631 1.1× 26 0.1× 131 0.8× 34 1.2k
Kristina Moll Germany 26 1.2k 1.5× 1.5k 1.9× 2.2k 3.9× 69 0.3× 728 4.4× 66 2.7k
Cecil D. Mercer United States 23 1.0k 1.3× 739 0.9× 1.1k 2.0× 35 0.2× 147 0.9× 47 1.8k
Pamela M. Seethaler United States 20 1.2k 1.5× 1.5k 2.0× 1.3k 2.3× 20 0.1× 162 1.0× 29 1.9k

Countries citing papers authored by Victoria Simms

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Simms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Simms

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Simms. A scholar is included among the top collaborators of Victoria Simms 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 Simms. Victoria Simms 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.
Scerif, Gaia, Emma Blakey, Zachary Hawes, et al.. (2025). Enhancing children’s numeracy and executive functions via their explicit integration. npj Science of Learning. 10(1). 8–8.
2.
Simms, Victoria, et al.. (2024). Parents' views and experiences of the home mathematics environment: A cross‐country study. Infant and Child Development. 33(4). 1 indexed citations
4.
Ellis, Alexa, et al.. (2023). International comparisons of the home mathematics environment and relations with children's mathematical achievement. British Journal of Educational Psychology. 93(4). 1171–1187. 3 indexed citations
6.
Scerif, Gaia, Emma Blakey, Zachary Hawes, et al.. (2023). Making the Executive ‘Function’ for the Foundations of Mathematics: the Need for Explicit Theories of Change for Early Interventions. Educational Psychology Review. 35(4). 15 indexed citations
7.
9.
Cassidy, Tony, et al.. (2021). Developing a rigorous measure of the pre-school home mathematics environment. Journal of Numerical Cognition. 7(2). 172–194. 8 indexed citations
10.
11.
Herwegen, Jo Van & Victoria Simms. (2020). Mathematical development in Williams syndrome: A systematic review. Research in Developmental Disabilities. 100. 103609–103609. 8 indexed citations
12.
Johnson, Samantha, Vassiliki Bountziouka, Sarah Clayton, et al.. (2019). Improving developmental and educational support for children born preterm: evaluation of an e-learning resource for education professionals. BMJ Open. 9(6). e029720–e029720. 18 indexed citations
13.
Herwegen, Jo Van, et al.. (2019). Eye Movement Patterns and Approximate Number Sense Task Performance in Williams Syndrome and Down Syndrome: A Developmental Perspective. Journal of Autism and Developmental Disorders. 49(10). 4030–4038. 11 indexed citations
14.
Simms, Victoria, Camilla Gilmore, Seaneen Sloan, & Clare McKeaveney. (2018). Protocol for a systematic review: Interventions to improve mathematics achievement in primary school‐aged children: a systematic review. Campbell Systematic Reviews. 14(1). 1–26. 2 indexed citations
15.
Gilmore, Camilla, Sarah Clayton, Lucy Cragg, et al.. (2018). Understanding arithmetic concepts: The role of domain-specific and domain-general skills. PLoS ONE. 13(9). e0201724–e0201724. 15 indexed citations
16.
Simms, Victoria, Sarah Clayton, Lucy Cragg, Camilla Gilmore, & Samantha Johnson. (2016). Explaining the relationship between number line estimation and mathematical achievement: The role of visuomotor integration and visuospatial skills. Journal of Experimental Child Psychology. 145. 22–33. 83 indexed citations
17.
Simms, Victoria, Camilla Gilmore, Lucy Cragg, et al.. (2014). Nature and origins of mathematics difficulties in very preterm children: a different etiology than developmental dyscalculia. Pediatric Research. 77(2). 389–395. 64 indexed citations
18.
Simms, Victoria, et al.. (2013). Plane thinking: Mental representations in number line estimation as a function of orientation, scale, and counting proficiency. Journal of Experimental Child Psychology. 115(3). 468–480. 13 indexed citations
19.
Simms, Victoria, Teresa McCormack, & Tom Beckers. (2012). Additivity pretraining and cue competition effects: Developmental evidence for a reasoning-based account of causal learning.. Journal of Experimental Psychology Animal Behavior Processes. 38(2). 180–190. 8 indexed citations
20.
Fowler, Eileen, Loretta M. Knutson, Sharon K. DeMuth, et al.. (2007). Pediatric endurance and limb strengthening for children with cerebral palsy (PEDALS) – a randomized controlled trial protocol for a stationary cycling intervention. BMC Pediatrics. 7(1). 14–14. 19 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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