David Bainbridge

150 papers receiving 1.4k citations

Peers

David Bainbridge
Comparison fields: 5 of 127
  • Signal Processing 604
  • Music 120
  • Computer Vision and Pattern Recognition 639
  • Human-Computer Interaction 158
  • Computer Science Applications 111
Replace Sally Jo Cunningham with:
Sally Jo Cunningham New Zealand
Paul Mulholland United Kingdom
Delfina Malandrino Italy
Joemon M. Jose United Kingdom
Mark d’Inverno United Kingdom
John J. Leggett United States
Akrivi Katifori Greece
Shyan‐Ming Yuan Taiwan
Rajiv Ratn Shah India
Max L. Wilson United Kingdom
David Bainbridge relative to Sally Jo Cunningham New Zealand Sally Jo Cunningham's profile →
Citations per field
00.5×1.5×
Sally Jo Cunningham · 1×
Citations per year

Countries citing papers authored by David Bainbridge

Since Specialization
Citations

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

Fields of papers citing papers by David Bainbridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199798
2 200196
3 200068
4 199957
5 200754
6
Data protection
200053
7 200650
8
How People Describe Their Music Information Needs: A Grounded Theory Analysis Of Music Queries
200349
9
DEVELOPER'S GUIDE
200149
10 200237
11
How to build digital library
201037
12 199737
13 200435
14 200429
15 200829
16 200228
17 201628
18 200527
19 200323
20 199922

About David Bainbridge

David Bainbridge is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Information Systems and Literature and Literary Theory, having authored 168 papers that have together received 1.7k indexed citations. Recurring topics across this work include Music and Audio Processing (40 papers), Music Technology and Sound Studies (30 papers), Digital Humanities and Scholarship (23 papers), Semantic Web and Ontologies (14 papers), Diverse Musicological Studies (11 papers), Advanced Text Analysis Techniques (10 papers), Research Data Management Practices (10 papers) and Digital and Traditional Archives Management (9 papers). The work is most often cited by research in Signal Processing (604 citations), Music (120 citations), Computer Vision and Pattern Recognition (639 citations), Human-Computer Interaction (158 citations) and Computer Science Applications (111 citations). David Bainbridge has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Ian H. Witten, Sally Jo Cunningham, Tim Bell, Rodger J. McNab, J. Stephen Downie, Stefan Boddie, Lloyd A. Smith, David M. Nichols, Matt Jones and Dana McKay. Their work appears in journals such as Modern Law Review, D-Lib Magazine, International Journal on Digital Libraries, Computer and Cataloging & Classification Quarterly.

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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