Maja Roch

1.8k citations
49 papers · 966 · h-index 16

Impact in

Papers in

Maja Roch

46 papers receiving 903 citations

Peers

Maja Roch
Comparison fields: 5 of 64
  • Developmental and Educational Psychology 723
  • Neuropsychology and Physiological Psychology 21
  • Cognitive Neuroscience 212
  • Linguistics and Language 51
  • Statistics and Probability 77
Replace C. Melanie Schuele with:
C. Melanie Schuele United States
Cláudia Cardoso‐Martins Brazil
Donna Boudreau United States
Elena Florit Italy
Fiona J. Duff United Kingdom
Loren M. Marulis United States
Sandra Laing Gillam United States
Susan E. Stothard United Kingdom
Teresa A. Ukrainetz United States
Fiona Kyle United Kingdom
Maja Roch relative to C. Melanie Schuele United States C. Melanie Schuele's profile →
Citations per field
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C. Melanie Schuele · 1×
Citations per year

Countries citing papers authored by Maja Roch

Since Specialization
Citations

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

Fields of papers citing papers by Maja Roch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maja Roch, 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 Maja Roch Line = papers co-authored together Maja Roch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011113
2 2009107
3 201390
4 201574
5 200863
6 200852
7 202141
8 201140
9 201733
10 200730
11 201025
12 202023
13 200923
14 200621
15 202019
16 201115
17 201215
18 202014
19 202214
20 201814

About Maja Roch

Maja Roch is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Education, Experimental and Cognitive Psychology and Clinical Psychology, having authored 49 papers that have together received 966 indexed citations. Recurring topics across this work include Reading and Literacy Development (30 papers), Language Development and Disorders (22 papers), Neurobiology of Language and Bilingualism (12 papers), Early Childhood Education and Development (7 papers), Language, Metaphor, and Cognition (4 papers), Child Development and Digital Technology (4 papers), Child and Animal Learning Development (4 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in Developmental and Educational Psychology (723 citations), Neuropsychology and Physiological Psychology (21 citations), Cognitive Neuroscience (212 citations), Linguistics and Language (51 citations) and Statistics and Probability (77 citations). Maja Roch has collaborated with scholars based in Italy, United Kingdom and Croatia. Frequent co-authors include Maria Chiara Levorato, Elena Florit, Christopher Jarrold, Gianmarco Altoè, Irene C. Mammarella, Ughetta Moscardino, Paola Bonifacci, Gordana Hržica, Cristina Cacciari and Meredith L. Rowe. Their work appears in journals such as International Journal of Environmental Research and Public Health, Frontiers in Psychology, International Journal of Language & Communication Disorders, Applied Psycholinguistics and Research in Developmental Disabilities.

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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