Eva Marinus

1.3k citations
39 papers · 869 · h-index 17

Impact in

Papers in

    • Reading and Literacy Development 28
    • Language Development and Disorders 6
    • Second Language Acquisition and Learning 3
    • Writing and Handwriting Education 13
    • Child Development and Digital Technology 6

Eva Marinus

38 papers receiving 837 citations

Peers

Eva Marinus
Comparison fields: 5 of 66
  • Developmental and Educational Psychology 730
  • Statistics and Probability 184
  • Cognitive Neuroscience 306
  • Education 317
  • Computer Science Applications 52
Replace Devin M. Kearns with:
Devin M. Kearns United States
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Eva Marinus relative to Devin M. Kearns United States Devin M. Kearns's profile →
Citations per field
00.5×3.3×
Devin M. Kearns · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Eva Marinus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Marinus Line = papers co-authored together Eva Marinus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015136
2 2012116
3 200958
4 201855
5 201851
6 201647
7 201044
8 201832
9 201829
10 201225
11 200822
12 201321
13 201620
14 201419
15 201519
16 201117
17 201016
18 201516
19 201715
20 201813

About Eva Marinus

Eva Marinus is a scholar working on Developmental and Educational Psychology, Education, Cognitive Neuroscience, Statistics and Probability and Computer Science Applications, having authored 39 papers that have together received 869 indexed citations. Recurring topics across this work include Reading and Literacy Development (28 papers), Writing and Handwriting Education (13 papers), Neurobiology of Language and Bilingualism (12 papers), Language Development and Disorders (6 papers), Child Development and Digital Technology (6 papers), Cognitive and developmental aspects of mathematical skills (6 papers), Teaching and Learning Programming (5 papers) and Second Language Acquisition and Learning (3 papers). The work is most often cited by research in Developmental and Educational Psychology (730 citations), Statistics and Probability (184 citations), Cognitive Neuroscience (306 citations), Education (317 citations) and Computer Science Applications (52 citations). Eva Marinus has collaborated with scholars based in Australia, Netherlands and Switzerland. Frequent co-authors include Anne Castles, Peter F. de Jong, Max Coltheart, Xenia Schmalz, Genevieve McArthur, Hua‐Chen Wang, Saskia Kohnen, Erin Banales, Thushara Anandakumar and Kristy Jones. Their work appears in journals such as Scientific Studies of Reading, Journal of Experimental Child Psychology, Quarterly Journal of Experimental Psychology, Cochrane Database of Systematic Reviews and Reading and Writing.

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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