David Pickup

519 citations
24 papers · 297 · h-index 9

Impact in

  • Music top 1%
    • Diverse Music Education Insights
    • Musicians’ Health and Performance

Papers in

David Pickup

22 papers receiving 262 citations

Peers

David Pickup
Comparison fields: 5 of 67
  • Music 99
  • Rehabilitation 35
  • Computer Science Applications 22
  • Education 111
  • Cognitive Neuroscience 64
Replace José Luis Aróstegui Plaza with:
José Luis Aróstegui Plaza Spain
Evan S. Tobias United States
Heidi Partti Finland
George Waddell United Kingdom
Ruth Wright Canada
Roger Mantie Canada
Martin Fautley United Kingdom
Clint Randles United States
Song A. An United States
Sean Robert Powell United States
David Pickup relative to José Luis Aróstegui Plaza Spain José Luis Aróstegui Plaza's profile →
Citations per field
00.5×1.5×2.4×
José Luis Aróstegui Plaza · 1×
Citations per year

Countries citing papers authored by David Pickup

Since Specialization
Citations

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

Fields of papers citing papers by David Pickup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200357
2 200351
3 201935
4 201529
5 201522
6 202021
7 202321
8 20118
9
Gender and ICT: Meta-Analysis and Systematic Review.
20188
10 20216
11 20215
12 20225
13 20225
14 20195
15 20153
16 20253
17 20173
18 20223
19
Moving towards excellence.
19923
20 20242

About David Pickup

David Pickup is a scholar working on Education, Sociology and Political Science, Information Systems, Music and Computer Science Applications, having authored 24 papers that have together received 297 indexed citations. Recurring topics across this work include Online and Blended Learning (4 papers), Diverse Music Education Insights (4 papers), Online Learning and Analytics (4 papers), Neuroscience and Music Perception (3 papers), Technology-Enhanced Education Studies (3 papers), Innovative Teaching Methods (2 papers), Delphi Technique in Research (2 papers) and Innovative Teaching and Learning Methods (2 papers). The work is most often cited by research in Music (99 citations), Rehabilitation (35 citations), Computer Science Applications (22 citations), Education (111 citations) and Cognitive Neuroscience (64 citations). David Pickup has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Kim Burwell, Eugene Borokhovski, R Bernard, Rana Tamim, Richard F. Schmid, David I. Waddington, Ashutosh Bagchi, Tarek Zayed, Abobakr Al-Sakkaf and Sherif Mahmoud. Their work appears in journals such as Campbell Systematic Reviews, Music Education Research, Australasian Journal of Educational Technology, Smart and Sustainable Built Environment and Canadian Journal of Learning and Technology.

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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