Katherine E. Twomey

977 total citations
35 papers, 341 citations indexed

About

Katherine E. Twomey is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Katherine E. Twomey has authored 35 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Developmental and Educational Psychology, 8 papers in Cognitive Neuroscience and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Katherine E. Twomey's work include Child and Animal Learning Development (24 papers), Language Development and Disorders (18 papers) and Reading and Literacy Development (16 papers). Katherine E. Twomey is often cited by papers focused on Child and Animal Learning Development (24 papers), Language Development and Disorders (18 papers) and Reading and Literacy Development (16 papers). Katherine E. Twomey collaborates with scholars based in United Kingdom, Germany and Japan. Katherine E. Twomey's co-authors include Gert Westermann, Jessica S. Horst, Ben Ambridge, Franklin Chang, Serge Thill, Ruth Pearce, Daniel Freudenthal, Amy Bidgood, Julián M. Pine and Caroline F. Rowland and has published in prestigious journals such as PLoS ONE, Child Development and Cognition.

In The Last Decade

Katherine E. Twomey

33 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine E. Twomey United Kingdom 11 257 112 95 42 39 35 341
Brock Ferguson United States 11 330 1.3× 97 0.9× 74 0.8× 41 1.0× 16 0.4× 20 394
Martin Zettersten United States 9 157 0.6× 70 0.6× 58 0.6× 59 1.4× 26 0.7× 23 246
Jon‐Fan Hu Taiwan 7 150 0.6× 85 0.8× 89 0.9× 44 1.0× 15 0.4× 8 253
Kristine A. Kovack‐Lesh United States 9 271 1.1× 88 0.8× 132 1.4× 40 1.0× 30 0.8× 11 325
Etsuko Haryu Japan 10 397 1.5× 128 1.1× 189 2.0× 36 0.9× 31 0.8× 26 529
Gwyneth C. Rost United States 6 380 1.5× 128 1.1× 223 2.3× 13 0.3× 70 1.8× 8 471
Satsuki Nakai United Kingdom 8 301 1.2× 100 0.9× 279 2.9× 31 0.7× 83 2.1× 18 501
Michele Wellsby Canada 7 173 0.7× 140 1.3× 142 1.5× 150 3.6× 31 0.8× 8 311
Suzy J Styles Singapore 11 160 0.6× 179 1.6× 211 2.2× 47 1.1× 62 1.6× 40 427
Ana Costa Portugal 9 149 0.6× 167 1.5× 109 1.1× 52 1.2× 48 1.2× 10 297

Countries citing papers authored by Katherine E. Twomey

Since Specialization
Citations

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

Fields of papers citing papers by Katherine E. Twomey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine E. Twomey. 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 Katherine E. Twomey. The network helps show where Katherine E. Twomey may publish in the future.

Co-authorship network of co-authors of Katherine E. Twomey

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine E. Twomey. A scholar is included among the top collaborators of Katherine E. Twomey 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 Katherine E. Twomey. Katherine E. Twomey 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.
Twomey, Katherine E., et al.. (2024). The limits of curiosity? New evidence for the roles of metacognitive abilities and curiosity in learning. Metacognition and Learning. 20(1). 1–1. 1 indexed citations
2.
3.
Twomey, Katherine E., et al.. (2023). Telerehabilitation of aphasia: A systematic review of the literature. Aphasiology. 38(7). 1271–1302. 8 indexed citations
4.
Theakston, Anna, et al.. (2023). The role of the natural history museum in promoting word learning for young children. Infant and Child Development. 32(2). 2 indexed citations
5.
Twomey, Katherine E., et al.. (2022). Curiosity enhances incidental object encoding in 8-month-old infants. Journal of Experimental Child Psychology. 223. 105508–105508. 16 indexed citations
6.
Twomey, Katherine E., et al.. (2022). The impact of perceived emotions on toddlers' word learning. Child Development. 93(5). 1584–1600. 2 indexed citations
7.
Silverstein, Priya, et al.. (2021). Infants Learn to Follow Gaze in Stages: Evidence Confirming a Robotic Prediction. Open Mind. 5. 174–188. 10 indexed citations
8.
Ishibashi, Mikako, et al.. (2021). Children’s scale errors and object processing: Early evidence for cross-cultural differences. Infant Behavior and Development. 65. 101631–101631. 3 indexed citations
9.
Polišenská, Kamila, Shula Chiat, Jakub Szewczyk, & Katherine E. Twomey. (2020). Effects of semantic plausibility, syntactic complexity and n-gram frequency on children's sentence repetition. Journal of Child Language. 48(2). 261–284. 3 indexed citations
10.
Twomey, Katherine E., et al.. (2019). Taking their eye off the ball: How shyness affects children’s attention during word learning. Journal of Experimental Child Psychology. 183. 134–145. 11 indexed citations
11.
Twomey, Katherine E. & Gert Westermann. (2017). Curiosity‐based learning in infants: a neurocomputational approach. Developmental Science. 21(4). e12629–e12629. 48 indexed citations
12.
Twomey, Katherine E. & Gert Westermann. (2016). A learned label modulates object representations in 10-month-old infants. Cognitive Science. 1 indexed citations
13.
Thill, Serge & Katherine E. Twomey. (2016). What's on the Inside Counts: A Grounded Account of Concept Acquisition and Development. Frontiers in Psychology. 7. 402–402. 23 indexed citations
14.
Twomey, Katherine E., Franklin Chang, & Ben Ambridge. (2016). Lexical distributional cues, but not situational cues, are readily used to learn abstract locative verb-structure associations. Cognition. 153. 124–139. 8 indexed citations
15.
Ambridge, Ben, Amy Bidgood, Katherine E. Twomey, et al.. (2015). Preemption versus Entrenchment: Towards a Construction-General Solution to the Problem of the Retreat from Verb Argument Structure Overgeneralization. PLoS ONE. 10(4). e0123723–e0123723. 22 indexed citations
16.
Twomey, Katherine E. & Gert Westermann. (2015). A neural network model of curiosity-driven infant categorization. Research Explorer (The University of Manchester). 1–6. 2 indexed citations
17.
Frost, Rebecca Louise Ann, et al.. (2015). Word for word. Nursery World. 2015(15). 21–23.
18.
Twomey, Katherine E., Franklin Chang, & Ben Ambridge. (2014). Do as I say, not as I do: A lexical distributional account of English locative verb class acquisition. Cognitive Psychology. 73. 41–71. 23 indexed citations
19.
Horst, Jessica S., et al.. (2013). Encountering multiple exemplars during fast mapping facilitates word learning. Cognitive Science. 35(35). 2 indexed citations
20.
Twomey, Katherine E., Franklin Chang, & Ben Ambridge. (2013). A distributional learning account of the acquisition of the locative alternation:corpus analysis and modeling. Cognitive Science. 35(35). 4 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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