J. E. McCartney

531 citations
7 papers · 365 · h-index 6

Impact in

Papers in

J. E. McCartney

7 papers receiving 294 citations

Peers

J. E. McCartney
Comparison fields: 5 of 56
  • Signal Processing 213
  • Computer Vision and Pattern Recognition 298
  • Human-Computer Interaction 72
  • Cognitive Neuroscience 160
  • Architecture 8
Replace David Zicarelli with:
David Zicarelli United States
Axel Mulder Canada
Ross Kirk United Kingdom
Nils Peters Germany
Arne Eigenfeldt Canada
JoAnn C. Kuchera-Morin United States
Mika Kuuskankare Finland
Olivier Delerue France
Norbert Schnell France
John Strawn United States
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Citations per field
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Citations per year

Countries citing papers authored by J. E. McCartney

Since Specialization
Citations

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

Fields of papers citing papers by J. E. McCartney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. E. McCartney. 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 J. E. McCartney. The network helps show where J. E. McCartney may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2002220
2
SuperCollider, a New Real Time Synthesis Language
199670
3
The SuperCollider Book
201146
4
Continued Evolution of the SuperCollider Real Time Synthesis Environment.
199813
5 19919
6
A New, Flexible Framework for Audio and Image Synthesis.
20006
7 19511

About J. E. McCartney

J. E. McCartney is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, Hardware and Architecture and Media Technology, having authored 7 papers that have together received 365 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (3 papers), Distributed and Parallel Computing Systems (2 papers), Music and Audio Processing (2 papers), Neuroscience and Music Perception (1 paper), Embedded Systems Design Techniques (1 paper), Electrowetting and Microfluidic Technologies (1 paper), Speech and Audio Processing (1 paper) and Astro and Planetary Science (1 paper). The work is most often cited by research in Signal Processing (213 citations), Computer Vision and Pattern Recognition (298 citations), Human-Computer Interaction (72 citations), Cognitive Neuroscience (160 citations) and Architecture (8 citations). J. E. McCartney has collaborated with scholars based in United States. Frequent co-authors include Nick Collins, Scott J. Wilson, W. H. Jefferys, T. J. Kreidl, Barbara E. McArthur, Arthur L. Whipple, A. J. Bradley, O. G. Franz, Larry Wasserman and George F. Benedict. Their work appears in journals such as Journal of Clinical Pathology, The Astrophysical Journal, Computer Music Journal, University of Birmingham Research Portal (University of Birmingham) and University of Michigan Library Repository.

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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