Katerina Avramides

24 papers receiving 536 citations

Peers

Katerina Avramides
Comparison fields: 5 of 79
  • Cognitive Neuroscience 221
  • Education 191
  • Developmental and Educational Psychology 168
  • Computer Science Applications 125
  • Clinical Psychology 108
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Countries citing papers authored by Katerina Avramides

Since Specialization
Citations

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

Fields of papers citing papers by Katerina Avramides

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katerina Avramides

This figure shows the co-authorship network connecting the top 25 collaborators of Katerina Avramides. A scholar is included among the top collaborators of Katerina Avramides 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 Avramides. Katerina Avramides 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
#WorkIndexed citations
1 110
2 2
3 58
4 12
5 30
6
Opening the black box of practice-based learning: Human-centred design of learning analytics
1
7 21
8
Analysing Project Based Learning scenarios to inform the design of learning analytics: Learning from related concepts
2
9 8
10 28
11 4
12
Working with teenagers to design technology that supports learning about energy in informal contexts
1
13
Supporting Teachers in Capturing and Analyzing Data in the Technology-Rich Classroom
2
14 4
15 102
16 50
17 15
18
Societal impact of a serious game on raising public awareness
2
19 62
20
Technology at work to mediate collaborative scientific enquiry in the field
12

About Katerina Avramides

Katerina Avramides is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Human-Computer Interaction, having authored 24 papers that have together received 560 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (7 papers), Online Learning and Analytics (5 papers) and Autism Spectrum Disorder Research (5 papers). The work is most often cited by research in Computer Science Applications (125 citations), Developmental and Educational Psychology (168 citations) and Cognitive Neuroscience (221 citations). Katerina Avramides has collaborated with scholars based in United Kingdom, Sweden and Norway. Frequent co-authors include Laura Crane, Emeline Han, Katrina Scior, Genaro Rebolledo‐Mendez, Rosemary Luckin, Sara de Freitas, Patricia Charlton, Martin Oliver, Mary Ellen Foster and Christopher Frauenberger. Their work appears in journals such as Computers & Education, British Journal of Educational Technology and ACM Transactions on Computer-Human Interaction.

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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