Tim Crawford

37 papers receiving 449 citations

Peers

Tim Crawford
Comparison fields: 5 of 45
  • Signal Processing 429
  • Music 112
  • Computer Vision and Pattern Recognition 342
  • Cognitive Neuroscience 99
  • Artificial Intelligence 148
Replace Samer Abdallah with:
Samer Abdallah United Kingdom
Christophe Rhodes United Kingdom
Andreas F. Ehmann United States
Luís Gustavo Martins Portugal
Adam Berenzweig United States
Camilo Rueda Colombia
Tim Pohle Austria
Jia-Lien Hsu Taiwan
Sergio Oramas Spain
D. Mlynek Switzerland
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Citations per year

Countries citing papers authored by Tim Crawford

Since Specialization
Citations

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

Fields of papers citing papers by Tim Crawford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
String Matching Techniques for Musical Similarity and Melodic Recognition
199887
2 200273
3 200341
4 200941
5 200134
6 200226
7 200619
8 201318
9 201618
10 201317
11
Explorations in Linked Data practice for early music corpora
201414
12 200714
13 201013
14 201013
15 201912
16 201111
17 201710
18 19949
19 20208
20 20217

About Tim Crawford

Tim Crawford is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Music, Artificial Intelligence and Information Systems, having authored 45 papers that have together received 539 indexed citations. Recurring topics across this work include Music and Audio Processing (34 papers), Music Technology and Sound Studies (19 papers), Diverse Musicological Studies (15 papers), Neuroscience and Music Perception (6 papers), Library Science and Information Systems (4 papers), Speech and Audio Processing (4 papers), Algorithms and Data Compression (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Signal Processing (429 citations), Music (112 citations), Computer Vision and Pattern Recognition (342 citations), Cognitive Neuroscience (99 citations) and Artificial Intelligence (148 citations). Tim Crawford has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Donald Byrd, Rajeev Raman, J. Stephen Downie, Jeremy Pickens, Kevin Page, Geraínt A. Wiggins, Costas S. Iliopoulos, Emilios Cambouropoulos, Richard F. Lewis and David De Roure. Their work appears in journals such as Journal of New Music Research, Early Music, SAE technical papers on CD-ROM/SAE technical paper series, Journal of Intelligent Information Systems and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

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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