Melody Terras

1.2k citations
31 papers · 816 · h-index 13

Impact in

Papers in

Melody Terras

30 papers receiving 750 citations

Peers

Melody Terras
Comparison fields: 5 of 78
  • Computer Science Applications 143
  • Developmental and Educational Psychology 272
  • Education 361
  • Cognitive Neuroscience 139
  • Clinical Psychology 129
Replace Marion Händel with:
Marion Händel Germany
Yen M. To United States
Susanna Siu‐sze Yeung Hong Kong
Antonio González Fernández Spain
Antonella D’Amico Italy
D. Jake Follmer United States
Marika Ginsburg‐Block United States
Shaoying Gong China
Lucia Ronconi Italy
Minna Puustinen France
Melody Terras relative to Marion Händel Germany Marion Händel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Melody Terras

Since Specialization
Citations

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

Fields of papers citing papers by Melody Terras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000142
2 2015131
3 2009119
4 201294
5 201687
6 201353
7 201837
8 201025
9 200221
10 200017
11 202114
12 201514
13 201913
14 20198
15 20147
16 20135
17 20154
18
The relationship between Parent and Child Digital Technology use.
20164
19 20223
20
A Psychological Perspective on Media Literacy
20103

About Melody Terras

Melody Terras is a scholar working on Education, Developmental and Educational Psychology, Sociology and Political Science, Clinical Psychology and Artificial Intelligence, having authored 31 papers that have together received 816 indexed citations. Recurring topics across this work include Early Childhood Education and Development (5 papers), Online Learning and Analytics (4 papers), Parental Involvement in Education (4 papers), Impact of Technology on Adolescents (4 papers), Family and Disability Support Research (3 papers), Innovative Teaching and Learning Methods (3 papers), Educational Games and Gamification (3 papers) and Literacy, Media, and Education (2 papers). The work is most often cited by research in Computer Science Applications (143 citations), Developmental and Educational Psychology (272 citations), Education (361 citations), Cognitive Neuroscience (139 citations) and Clinical Psychology (129 citations). Melody Terras has collaborated with scholars based in United Kingdom, Slovenia and Greece. Frequent co-authors include Judith Ramsay, Simon Garrod, Helen Minnis, Lucy Thompson, Elizabeth Boyle, Pauline Banks, Laura Hughes, Hugh Foot, Morag Ferguson and Christine Howe. Their work appears in journals such as British Journal of Educational Technology, Frontiers in Psychology, International Journal of Early Years Education, British Journal of Learning Disabilities and Dyslexia.

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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