Katerina Kantartzis

477 total citations
9 papers, 260 citations indexed

About

Katerina Kantartzis is a scholar working on Experimental and Cognitive Psychology, Developmental and Educational Psychology and Cultural Studies. According to data from OpenAlex, Katerina Kantartzis has authored 9 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Experimental and Cognitive Psychology, 5 papers in Developmental and Educational Psychology and 1 paper in Cultural Studies. Recurrent topics in Katerina Kantartzis's work include Multisensory perception and integration (7 papers), Child and Animal Learning Development (4 papers) and Language, Metaphor, and Cognition (4 papers). Katerina Kantartzis is often cited by papers focused on Multisensory perception and integration (7 papers), Child and Animal Learning Development (4 papers) and Language, Metaphor, and Cognition (4 papers). Katerina Kantartzis collaborates with scholars based in United Kingdom, Japan and France. Katerina Kantartzis's co-authors include Sotaro Kita, Mutsumi Imai, H. Henny Yeung, Hiroyuki Okada, Noburo Saji and Kimi Akita and has published in prestigious journals such as PLoS ONE, Cognitive Science and Languages.

In The Last Decade

Katerina Kantartzis

9 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katerina Kantartzis United Kingdom 7 226 99 53 39 28 9 260
Gwilym Lockwood Netherlands 5 226 1.0× 49 0.5× 50 0.9× 58 1.5× 37 1.3× 6 261
Mathilde Fort France 10 260 1.2× 99 1.0× 155 2.9× 33 0.8× 16 0.6× 19 325
Sylvia Tufvesson Netherlands 5 175 0.8× 48 0.5× 34 0.6× 27 0.7× 24 0.9× 6 247
David Schmidtke Germany 7 225 1.0× 48 0.5× 127 2.4× 110 2.8× 14 0.5× 10 314
Arash Aryani Germany 11 271 1.2× 49 0.5× 179 3.4× 127 3.3× 12 0.4× 15 361
Hadas Shintel United States 7 212 0.9× 130 1.3× 97 1.8× 59 1.5× 18 0.6× 9 300
Kimi Akita Japan 8 157 0.7× 30 0.3× 19 0.4× 18 0.5× 14 0.5× 22 186
Özge Öztürk United States 7 232 1.0× 96 1.0× 88 1.7× 57 1.5× 18 0.6× 11 305
Jan Auracher Germany 7 126 0.6× 13 0.1× 50 0.9× 35 0.9× 12 0.4× 12 167
Laurel Fais Canada 9 226 1.0× 271 2.7× 73 1.4× 9 0.2× 10 0.4× 20 346

Countries citing papers authored by Katerina Kantartzis

Since Specialization
Citations

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

Fields of papers citing papers by Katerina Kantartzis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katerina Kantartzis

This figure shows the co-authorship network connecting the top 25 collaborators of Katerina Kantartzis. A scholar is included among the top collaborators of Katerina Kantartzis 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 Katerina Kantartzis. Katerina Kantartzis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Kantartzis, Katerina, et al.. (2019). Sound Symbolism Facilitates Long-Term Retention of the Semantic Representation of Novel Verbs in Three-Year-Olds. Languages. 4(2). 21–21. 8 indexed citations
2.
Saji, Noburo, Kimi Akita, Katerina Kantartzis, Sotaro Kita, & Mutsumi Imai. (2019). Cross-linguistically shared and language-specific sound symbolism in novel words elicited by locomotion videos in Japanese and English. PLoS ONE. 14(7). e0218707–e0218707. 23 indexed citations
3.
Imai, Mutsumi, et al.. (2015). Sound Symbolism Facilitates Word Learning in 14-Month-Olds. PLoS ONE. 10(2). e0116494–e0116494. 50 indexed citations
4.
Saji, Noburo, Kimi Akita, Mutsumi Imai, Katerina Kantartzis, & Sotaro Kita. (2013). Cross-Linguistically Shared and Language-Specific Sound Symbolism for Motion: An Exploratory Data Mining Approach. Cognitive Science. 35(35). 15 indexed citations
5.
Imai, Mutsumi, et al.. (2013). The facilitatory role of sound symbolism in infant word learning. eScholarship (California Digital Library). 35(35). 14 indexed citations
6.
Saji, Noburo, Kimi Akita, Mutsumi Imai, Katerina Kantartzis, & Sotaro Kita. (2012). The Internal Structures of Sound-Symbolic Systems: the Universal and Language-Specific Portions of Sound Symbolism.. Cognitive Science. 1 indexed citations
7.
Kantartzis, Katerina, Mutsumi Imai, & Sotaro Kita. (2011). Japanese Sound‐Symbolism Facilitates Word Learning in English‐Speaking Children. Cognitive Science. 35(3). 575–586. 135 indexed citations
8.
Kita, Sotaro, Katerina Kantartzis, & Mutsumi Imai. (2010). CHILDREN LEARN SOUND SYMBOLIC WORDS BETTER: EVOLUTIONARY VESTIGE OF SOUND SYMBOLIC PROTOLANGUAGE. The Evolution of Language. 206–213. 12 indexed citations
9.
Imai, Mutsumi, Katerina Kantartzis, & Sotaro Kita. (2009). Japanese sound symbolism facilitates word learning in English speaking children. Conference Cognitive Science. 31(31). 626–630. 2 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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