Jon McCormack
Impact in
- Architecture top 0.5%
- Architecture and Computational Design
-
- Computer Graphics and Visualization Techniques
Papers in
-
- Music Technology and Sound Studies 38
- Data Visualization and Analytics 13
-
- Aesthetic Perception and Analysis 20
- Co-authors
- Alan Dorin (15 shared papers)Patrick Hutchings (5 shared papers)Mark d’Inverno (10 shared papers)Toby Gifford (5 shared papers)Oliver Bown (8 shared papers)A. Sherstyuk (1 shared paper)Taras Kowaliw (5 shared papers)Matthew Yee-King (4 shared papers)
- Journals
- Lecture notes in computer science (21 papers)Organised Sound (2 papers)Leonardo (2 papers)BDJ (2 papers)Complexity (2 papers)
- Partner nations
- AustraliaUnited KingdomFrance
In The Last Decade
Jon McCormack
87 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Architecture 97
- Computer Graphics and Computer-Aided Design 167
- Human-Computer Interaction 195
- Computer Vision and Pattern Recognition 667
- Cognitive Neuroscience 413
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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 78 | |
| 2 | 2005 | 75 | |
| 3 | Grammar-based music composition | 1996 | 62 |
| 4 | 1998 | 60 | |
| 5 | 2020 | 56 | |
| 6 | 2001 | 52 | |
| 7 | 2012 | 50 | |
| 8 | Interactive evolution of L-System grammars for computer graphics modelling | 1993 | 46 |
| 9 | Art, emergence, and the computational sublime | 2001 | 42 |
| 10 | 2019 | 40 | |
| 11 | 2009 | 39 | |
| 12 | 2013 | 39 | |
| 13 | 2007 | 37 | |
| 14 | 2012 | 28 | |
| 15 | 2023 | 27 | |
| 16 | 2020 | 26 | |
| 17 | 2009 | 25 | |
| 18 | 2004 | 24 | |
| 19 | 2007 | 24 | |
| 20 | Leonardo: Journal of the International Society for the Arts, Sciences and Technology | 2001 | 23 |
About Jon McCormack
Jon McCormack is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence, Mechanical Engineering and Signal Processing, having authored 96 papers that have together received 1.3k indexed citations. Recurring topics across this work include Music Technology and Sound Studies (38 papers), Aesthetic Perception and Analysis (20 papers), Data Visualization and Analytics (13 papers), Music and Audio Processing (12 papers), Creativity in Education and Neuroscience (11 papers), Design Education and Practice (10 papers), Artificial Intelligence in Games (10 papers) and Architecture and Computational Design (8 papers). The work is most often cited by research in Architecture (97 citations), Computer Graphics and Computer-Aided Design (167 citations), Human-Computer Interaction (195 citations), Computer Vision and Pattern Recognition (667 citations) and Cognitive Neuroscience (413 citations). Jon McCormack has collaborated with scholars based in Australia, United Kingdom and France. Frequent co-authors include Alan Dorin, Patrick Hutchings, Mark d’Inverno, Toby Gifford, Oliver Bown, A. Sherstyuk, Taras Kowaliw, Matthew Yee-King, Alice Eldridge and Mitchell Whitelaw. Their work appears in journals such as Lecture notes in computer science, Organised Sound, Leonardo, BDJ and Complexity.
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.