Jon McCormack
Impact in
- Architecture top 2%
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- Computer Graphics and Visualization Techniques
Papers in
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- Music Technology and Sound Studies 21
- Data Visualization and Analytics 7
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- Aesthetic Perception and Analysis 9
- Co-authors
- Alan Dorin (13 shared papers)Mark d’Inverno (8 shared papers)A. Sherstyuk (1 shared paper)Oliver Bown (6 shared papers)Taras Kowaliw (4 shared papers)Toby Gifford (4 shared papers)Matthew Yee-King (4 shared papers)Alice Eldridge (2 shared papers)
- Journals
- BDJ (2 papers)Leonardo (2 papers)Organised Sound (2 papers)Complexity (2 papers)IEEE Transactions on Evolutionary Computation (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Jon McCormack
57 papers receiving 596 citations
Peers
Comparison fields: 5 of 111
- Architecture 37
- Computer Graphics and Computer-Aided Design 78
- Human-Computer Interaction 118
- Computer Vision and Pattern Recognition 297
- Signal Processing 98
Countries citing papers authored by Jon McCormack
This map shows the geographic impact of Jon McCormack'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 Jon McCormack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon McCormack more than expected).
Fields of papers citing papers by Jon McCormack
This network shows the impact of papers produced by Jon McCormack. 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 Jon McCormack. The network helps show where Jon McCormack may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon McCormack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 56 | |
| 2 | Grammar-based music composition | 1996 | 50 |
| 3 | 2020 | 40 | |
| 4 | 2012 | 36 | |
| 5 | 2019 | 34 | |
| 6 | 2009 | 34 | |
| 7 | Art, emergence, and the computational sublime | 2001 | 32 |
| 8 | Interactive evolution of L-System grammars for computer graphics modelling | 1993 | 30 |
| 9 | 2013 | 29 | |
| 10 | 2012 | 25 | |
| 11 | 2020 | 25 | |
| 12 | 2021 | 20 | |
| 13 | 2007 | 20 | |
| 14 | 2018 | 16 | |
| 15 | 2003 | 16 | |
| 16 | 2019 | 16 | |
| 17 | Heroic versus collaborative AI for the arts | 2015 | 15 |
| 18 | 2003 | 12 | |
| 19 | Leonardo: Journal of the International Society for the Arts, Sciences and Technology | 2001 | 12 |
| 20 | 2019 | 11 |
About Jon McCormack
Jon McCormack is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Mechanical Engineering, Human-Computer Interaction and Artificial Intelligence, having authored 63 papers that have together received 683 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (21 papers), Creativity in Education and Neuroscience (9 papers), Aesthetic Perception and Analysis (9 papers), Design Education and Practice (8 papers), Music and Audio Processing (8 papers), Artificial Intelligence in Games (7 papers), Art, Technology, and Culture (7 papers) and Data Visualization and Analytics (7 papers). The work is most often cited by research in Architecture (37 citations), Computer Graphics and Computer-Aided Design (78 citations), Human-Computer Interaction (118 citations), Computer Vision and Pattern Recognition (297 citations) and Signal Processing (98 citations). Jon McCormack has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Alan Dorin, Mark d’Inverno, A. Sherstyuk, Oliver Bown, Taras Kowaliw, Toby Gifford, Matthew Yee-King, Alice Eldridge, Mitchell Whitelaw and Ryan Kelly. Their work appears in journals such as BDJ, Leonardo, Organised Sound, Complexity and IEEE Transactions on Evolutionary Computation.
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.