Matthew Barr

1.2k citations
61 papers · 683 indexed · 1 hit paper · h-index 12

Matthew Barr

52 papers receiving 641 citations

Hit Papers

Playing Video Games During the COVID-19 Pandemic and Effe...169202120262022202450100150

Peers

Matthew Barr
Comparison fields: 5 of 103
  • Computer Science Applications 106
  • Developmental and Educational Psychology 196
  • Applied Psychology 33
  • Human-Computer Interaction 34
  • Education 177
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Barr

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20233
3 20230
4 20234
5 202214
6 20224
7 20204
8 202011
9 20201
10 20191
11 20193
12
Increasing Engagement with the Library via Gamification
20163
13 201535
14 201410
15
Can playing video games help develop graduate attributes?
20131
16
Computer games and learning: the current state of play
20131
17 20100
18
Manet and the Object of Painting
201020
19 20086
20 20007

About Matthew Barr

Matthew Barr is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Human Factors and Ergonomics, Education and Conservation, having authored 61 papers that have together received 683 indexed citations. Recurring topics across this work include Educational Games and Gamification (15 papers), Teaching and Learning Programming (13 papers), Higher Education and Employability (11 papers), Digital Games and Media (10 papers), Online Learning and Analytics (9 papers), Higher Education Learning Practices (5 papers), Impact of Technology on Adolescents (4 papers) and Software Engineering Techniques and Practices (4 papers). The work is most often cited by research in Computer Science Applications (106 citations), Developmental and Educational Psychology (196 citations), Applied Psychology (33 citations), Human-Computer Interaction (34 citations) and Education (177 citations). Matthew Barr has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Jack Parkinson, Colin Hay, Gerry Stoker, Stephen M. Cornish, Tony Greening, Sally Smith, Michel Foucault, Tessa Berg, Khristin Fabian and James H. Paterson. Their work appears in journals such as Research in Learning Technology, Games and Culture, European Journal of Political Research, Alimentary Pharmacology & Therapeutics and European Journal of Engineering Education.

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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