Matthew Barr

1.5k citations
79 papers · 1.0k · 1 hit paper · h-index 17

Impact in

Papers in

Matthew Barr

67 papers receiving 973 citations

Matthew Barr's Hit Papers

Playing Video Games During the COVID-19 Pandemic and Effects on Players’ Well-Being 2021 · 203 citations
2030+1+3Years since publication50100150200

Peers

Matthew Barr
Comparison fields: 5 of 114
  • Orthopedics and Sports Medicine 201
  • Computer Science Applications 134
  • Developmental and Educational Psychology 280
  • Human-Computer Interaction 45
  • Education 199
Replace Matthew L. Cole with:
Matthew L. Cole United Kingdom
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Seth E. Jenny United States
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Matthew Barr relative to Matthew L. Cole United Kingdom Matthew L. Cole's profile →
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-authors

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

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Playing Video Games During the COVID-19 Pandemic and Effects on Players’ Well-Being
Hit paper breakdown →
2021203
2 2017117
3 201783
4 201475
5 201543
6 201437
7 202033
8 201728
9
Sprinting kinematics of elite rugby players
201326
10
Manet and the Object of Painting
201022
11 201321
12 201921
13 201920
14 201419
15 199918
16 202118
17 202217
18 202014
19 201913
20 201412

About Matthew Barr

Matthew Barr is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Education, Orthopedics and Sports Medicine and Sociology and Political Science, having authored 79 papers that have together received 1.0k indexed citations. Recurring topics across this work include Educational Games and Gamification (19 papers), Teaching and Learning Programming (15 papers), Higher Education and Employability (15 papers), Digital Games and Media (14 papers), Online Learning and Analytics (11 papers), Sports injuries and prevention (8 papers), Sports Performance and Training (8 papers) and Higher Education Learning Practices (7 papers). The work is most often cited by research in Orthopedics and Sports Medicine (201 citations), Computer Science Applications (134 citations), Developmental and Educational Psychology (280 citations), Human-Computer Interaction (45 citations) and Education (199 citations). Matthew Barr has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Jeremy M. Sheppard, Robert Usher Newton, Tim J. Gabbett, Gerry Stoker, Colin Hay, Jack Parkinson, Volker W. Nolte, Stephen M. Cornish, Tony Greening and Sally Smith. Their work appears in journals such as The Journal of Strength and Conditioning Research, Clinical Endocrinology, Research in Learning Technology, Games and Culture and Lung Cancer.

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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