John Backus

729 citations
30 papers · 422 · h-index 11

Impact in

    • Music and Audio Processing
    • Speech and Audio Processing
  • Music top 2%
    • Diverse Musicological Studies

Papers in

John Backus

28 papers receiving 352 citations

Peers

John Backus
Comparison fields: 5 of 76
  • Signal Processing 208
  • Music 57
  • Computer Vision and Pattern Recognition 271
  • Cognitive Neuroscience 114
  • Developmental Biology 6
Replace Erik V. Jansson with:
Erik V. Jansson Sweden
John M. Grey United States
Jean-Pierre Dalmont France
Vasileios Chatziioannou Austria
John Chowning United States
James A. Moorer United States
Jean‐Claude Risset France
Haruhiro Katayose Japan
James W. Beauchamp United States
Jamie A. S. Angus United Kingdom
John Backus relative to Erik V. Jansson Sweden Erik V. Jansson's profile →
Citations per field
00.5×
Erik V. Jansson · 1×
Citations per year

Countries citing papers authored by John Backus

Since Specialization
Citations

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

Fields of papers citing papers by John Backus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside John Backus, 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 John Backus Line = papers co-authored together John Backus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970102
2 196358
3 196132
4 197631
5 198529
6 197425
7 197121
8 196617
9 196416
10 197014
11 197811
12 196910
13 197510
14 19778
15 19788
16 19626
17 19514
18 19704
19 19683
20 19652

About John Backus

John Backus is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Music, Statistical and Nonlinear Physics and Biomedical Engineering, having authored 30 papers that have together received 422 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (24 papers), Music and Audio Processing (14 papers), Diverse Musicological Studies (11 papers), Experimental and Theoretical Physics Studies (2 papers), Acoustic Wave Phenomena Research (2 papers), Particle accelerators and beam dynamics (1 paper), Neuroscience and Music Perception (1 paper) and Gyrotron and Vacuum Electronics Research (1 paper). The work is most often cited by research in Signal Processing (208 citations), Music (57 citations), Computer Vision and Pattern Recognition (271 citations), Cognitive Neuroscience (114 citations) and Developmental Biology (6 citations). John Backus has collaborated with scholars based in United States. Frequent co-authors include Wayne Slawson, M. V. Mathews, John W. Coltman and Thomas D. Rossing. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Music Theory, Review of Scientific Instruments, Physics Today and Communications of the ACM.

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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