Donald Byrd

796 citations
27 papers · 511 · h-index 12

Impact in

Papers in

Donald Byrd

23 papers receiving 435 citations

Peers

Donald Byrd
Comparison fields: 5 of 61
  • Signal Processing 272
  • Music 51
  • Computer Vision and Pattern Recognition 291
  • Human-Computer Interaction 39
  • Information Systems 134
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Alexandra L. Uitdenbogerd Australia
Jeremy Pickens United States
Raluca Paiu Germany
Claudiu S. Firan Germany
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Andy MacFarlane United Kingdom
David Martins de Matos Portugal
Richard F. E. Sutcliffe United Kingdom
Marcos Aurélio Domingues Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Donald Byrd

Since Specialization
Citations

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

Fields of papers citing papers by Donald Byrd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Donald Byrd, 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 Donald Byrd Line = papers co-authored together Donald Byrd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199881
2 200273
3
INQUERY does battle with TREC-6
199769
4 199950
5 200941
6 201530
7 200626
8 200125
9 200625
10 200917
11 200113
12 199411
13 200710
14 19749
15 20038
16
Music notation by computer (formatting)
19848
17 19785
18 20044
19 20041
20 19861

About Donald Byrd

Donald Byrd is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Music, Cognitive Neuroscience and Information Systems, having authored 27 papers that have together received 511 indexed citations. Recurring topics across this work include Music and Audio Processing (19 papers), Music Technology and Sound Studies (15 papers), Diverse Musicological Studies (5 papers), Neuroscience and Music Perception (4 papers), Handwritten Text Recognition Techniques (2 papers), Data Visualization and Analytics (2 papers), Information Retrieval and Search Behavior (2 papers) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Signal Processing (272 citations), Music (51 citations), Computer Vision and Pattern Recognition (291 citations), Human-Computer Interaction (39 citations) and Information Systems (134 citations). Donald Byrd has collaborated with scholars based in United States, United Kingdom and Bulgaria. Frequent co-authors include Tim Crawford, W. Bruce Croft, Ben Shneiderman, Russell Swan, James Allan, Jakob Grue Simonsen, J. Stephen Downie, Jinxi Xu, Lisa Ballesteros and James P. Callan. Their work appears in journals such as Computer Music Journal, Communications of the ACM, Information Processing & Management, Journal of New Music Research and Notes.

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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