Eva Marinus

1.3k total citations
39 papers, 848 citations indexed

About

Eva Marinus is a scholar working on Developmental and Educational Psychology, Education and Cognitive Neuroscience. According to data from OpenAlex, Eva Marinus has authored 39 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Developmental and Educational Psychology, 20 papers in Education and 14 papers in Cognitive Neuroscience. Recurrent topics in Eva Marinus's work include Reading and Literacy Development (28 papers), Writing and Handwriting Education (13 papers) and Neurobiology of Language and Bilingualism (12 papers). Eva Marinus is often cited by papers focused on Reading and Literacy Development (28 papers), Writing and Handwriting Education (13 papers) and Neurobiology of Language and Bilingualism (12 papers). Eva Marinus collaborates with scholars based in Australia, Netherlands and Switzerland. Eva Marinus's co-authors include Anne Castles, Peter F. de Jong, Xenia Schmalz, Max Coltheart, Genevieve McArthur, Hua‐Chen Wang, Saskia Kohnen, Thushara Anandakumar, Erin Banales and Linda Larsen and has published in prestigious journals such as Cochrane Database of Systematic Reviews, Cognition and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Eva Marinus

38 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Marinus Australia 17 728 322 318 186 90 39 848
Devin M. Kearns United States 21 834 1.1× 498 1.5× 182 0.6× 320 1.7× 90 1.0× 52 1.1k
Amy M. Elleman United States 17 884 1.2× 448 1.4× 102 0.3× 289 1.6× 85 0.9× 25 1.0k
Jonathan Solity United Kingdom 16 603 0.8× 343 1.1× 148 0.5× 198 1.1× 61 0.7× 37 773
Nina L. Saine Finland 5 800 1.1× 388 1.2× 266 0.8× 258 1.4× 44 0.5× 6 852
Annie Magnan France 14 523 0.7× 323 1.0× 187 0.6× 129 0.7× 52 0.6× 61 656
Laurice M. Joseph United States 17 704 1.0× 416 1.3× 104 0.3× 259 1.4× 26 0.3× 54 872
Elise de Bree Netherlands 19 840 1.2× 303 0.9× 303 1.0× 263 1.4× 50 0.6× 78 1.0k
Joseph Z. Stafura United States 7 800 1.1× 280 0.9× 283 0.9× 201 1.1× 132 1.5× 8 929
Tammy D. Tolar United States 16 561 0.8× 431 1.3× 96 0.3× 373 2.0× 42 0.5× 23 886
Judith Rispens Netherlands 20 933 1.3× 146 0.5× 480 1.5× 260 1.4× 68 0.8× 56 1.1k

Countries citing papers authored by Eva Marinus

Since Specialization
Citations

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

Fields of papers citing papers by Eva Marinus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Marinus

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Marinus. A scholar is included among the top collaborators of Eva Marinus 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 Eva Marinus. Eva Marinus 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.
Edelsbrunner, Peter A., et al.. (2023). Using Concept Cartoons for Assessing Children’s Conceptions about the Internet. 1–4. 2 indexed citations
2.
Edelsbrunner, Peter A., et al.. (2023). A literature review of children’s and youth’s conceptions of the internet. International Journal of Child-Computer Interaction. 37. 100595–100595. 13 indexed citations
3.
Robidoux, Serje, et al.. (2023). The cognition of programming: logical reasoning, algebra and vocabulary skills predict programming performance following an introductory computing course. Journal of Cognitive Psychology. 35(3). 364–381. 6 indexed citations
4.
Marinus, Eva, et al.. (2022). No evidence that autistic traits predict programming learning outcomes. Computers in Human Behavior Reports. 7. 100215–100215. 2 indexed citations
5.
6.
Edelsbrunner, Peter A., et al.. (2022). Programming concepts and misconceptions in grade 5 and 6 children: Developing and testing a new assessment tool. Zenodo (CERN European Organization for Nuclear Research). 328–333. 3 indexed citations
7.
Schmalz, Xenia, Serje Robidoux, Anne Castles, & Eva Marinus. (2020). Variations in the use of simple and context-sensitive grapheme-phoneme correspondences in English and German developing readers. Annals of Dyslexia. 70(2). 180–199. 6 indexed citations
8.
Marinus, Eva, et al.. (2018). Who are the noisiest neighbors in the hood? Using error analyses to study the acquisition of letter-position processing.. Journal of Experimental Psychology Learning Memory and Cognition. 44(9). 1384–1396. 2 indexed citations
9.
Marinus, Eva, et al.. (2018). Unravelling the Cognition of Coding in 3-to-6-year Olds. 133–141. 29 indexed citations
10.
Wang, Hua‐Chen, et al.. (2018). Phonetic radicals, not phonological coding systems, support orthographic learning via self-teaching in Chinese. Cognition. 176. 184–194. 13 indexed citations
11.
Perre, Laetitia, et al.. (2016). Automatic phonological activation during visual word recognition in bilingual children: A cross-language masked priming study in grades 3 and 5. Journal of Experimental Child Psychology. 154. 64–77. 9 indexed citations
12.
Schmalz, Xenia, Eva Marinus, Max Coltheart, & Anne Castles. (2015). Getting to the bottom of orthographic depth. Psychonomic Bulletin & Review. 22(6). 1614–1629. 131 indexed citations
13.
Marinus, Eva, Kate Nation, & Peter F. de Jong. (2015). Density and length in the neighborhood: Explaining cross-linguistic differences in learning to read in English and Dutch. Journal of Experimental Child Psychology. 139. 127–147. 19 indexed citations
14.
Wang, Hua‐Chen, Eva Marinus, Lyndsey Nickels, & Anne Castles. (2014). Tracking orthographic learning in children with different profiles of reading difficulty. Frontiers in Human Neuroscience. 8. 468–468. 19 indexed citations
15.
Schmalz, Xenia, Eva Marinus, & Anne Castles. (2012). Phonological decoding or direct access? Regularity effects in lexical decisions of Grade 3 and 4 children. Quarterly Journal of Experimental Psychology. 66(2). 338–346. 25 indexed citations
16.
McArthur, Genevieve, Erin Banales, Saskia Kohnen, et al.. (2012). Phonics training for English-speaking poor readers. Cochrane Database of Systematic Reviews. 11. CD009115–CD009115. 114 indexed citations
17.
Marinus, Eva & Peter F. de Jong. (2010). Size does not matter, frequency does: Sensitivity to orthographic neighbors in normal and dyslexic readers. Journal of Experimental Child Psychology. 106(2-3). 129–144. 16 indexed citations
18.
Marinus, Eva & Peter F. de Jong. (2010). Dyslexic and typical-reading children use vowel digraphs as perceptual units in reading. Quarterly Journal of Experimental Psychology. 64(3). 504–516. 13 indexed citations
19.
Jong, Peter F. de, et al.. (2009). Does phonological recoding occur during silent reading, and is it necessary for orthographic learning?. Journal of Experimental Child Psychology. 104(3). 267–282. 57 indexed citations
20.
Marinus, Eva, et al.. (1992). Ethnolinguistic Identities and Accommodation across Generations in Taiwan.. Journal of Asian Pacific Communication. 3(1). 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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