Jon McCormack

2.0k total citations
63 papers, 683 citations indexed

About

Jon McCormack is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Mechanical Engineering. According to data from OpenAlex, Jon McCormack has authored 63 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 18 papers in Cognitive Neuroscience and 12 papers in Mechanical Engineering. Recurrent topics in Jon McCormack's work include Music Technology and Sound Studies (21 papers), Aesthetic Perception and Analysis (9 papers) and Creativity in Education and Neuroscience (9 papers). Jon McCormack is often cited by papers focused on Music Technology and Sound Studies (21 papers), Aesthetic Perception and Analysis (9 papers) and Creativity in Education and Neuroscience (9 papers). Jon McCormack collaborates with scholars based in Australia, United Kingdom and United States. Jon McCormack's co-authors include Alan Dorin, Mark d’Inverno, A. Sherstyuk, Oliver Bown, Taras Kowaliw, Toby Gifford, Matthew Yee-King, Alice Eldridge, Mitchell Whitelaw and Juan Romero and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, International Journal of Human-Computer Studies and Computer Graphics Forum.

In The Last Decade

Jon McCormack

57 papers receiving 596 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jon McCormack Australia 16 297 174 127 118 98 63 683
Juan Romero Spain 14 256 0.9× 242 1.4× 185 1.5× 57 0.5× 101 1.0× 44 832
Tolga Çapın Türkiye 15 498 1.7× 69 0.4× 52 0.4× 257 2.2× 50 0.5× 61 823
Cagri Ozcinar Ireland 18 811 2.7× 103 0.6× 55 0.4× 287 2.4× 262 2.7× 59 1.2k
Baptiste Caramiaux France 15 289 1.0× 274 1.6× 102 0.8× 201 1.7× 123 1.3× 46 655
M. Sheelagh T. Carpendale Canada 12 615 2.1× 177 1.0× 68 0.5× 539 4.6× 88 0.9× 27 980
S. Joy Mountford United States 8 236 0.8× 161 0.9× 107 0.8× 332 2.8× 12 0.1× 21 782
Fabio Zambetta Australia 12 114 0.4× 82 0.5× 164 1.3× 119 1.0× 22 0.2× 63 498
Danielle Albers Szafir United States 17 561 1.9× 181 1.0× 167 1.3× 257 2.2× 34 0.3× 51 922
Scott S. Snibbe United States 10 437 1.5× 173 1.0× 25 0.2× 423 3.6× 37 0.4× 17 723
C. Schmandt United States 12 181 0.6× 87 0.5× 113 0.9× 218 1.8× 32 0.3× 27 442

Countries citing papers authored by Jon McCormack

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jon McCormack

This figure shows the co-authorship network connecting the top 25 collaborators of Jon McCormack. A scholar is included among the top collaborators of Jon McCormack based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jon McCormack. Jon McCormack is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
McCormack, Jon, et al.. (2025). Transhuman Ansambl: a system for immersive and performative experience of music heritage. International Journal of Heritage Studies. 31(11). 1391–1413.
2.
d’Inverno, Mark, et al.. (2022). Explainable Computational Creativity. Goldsmiths (University of London). 334–341. 3 indexed citations
3.
McCormack, Jon, et al.. (2022). AirSticks 2.0: Instrument Design for Expressive Gestural Interaction. Monash University Research Portal (Monash University). 3 indexed citations
4.
Colton, Simon, et al.. (2020). On the Machine Condition and its Creative Expression.. Aaltodoc (Aalto University). 342–349. 1 indexed citations
5.
McCormack, Jon, et al.. (2020). Design Considerations for Real-Time Collaboration with Creative Artificial Intelligence. Organised Sound. 25(1). 41–52. 40 indexed citations
6.
Gifford, Toby, et al.. (2018). Computational systems for music improvisation. Digital Creativity. 29(1). 19–36. 16 indexed citations
7.
Brown, Andrew R., et al.. (2018). Interacting with Musebots. 19–24. 1 indexed citations
8.
Sommer, Björn, David G. Barnes, Sarah Boyd, et al.. (2017). 3D-Stereoscopic Immersive Analytics Projects at Monash University and University of Konstanz. Electronic Imaging. 29(5). 179–187. 10 indexed citations
9.
Marriott, Kim, et al.. (2017). The Mitchell Library WordCloud. 39–48.
10.
McCormack, Jon & Mark d’Inverno. (2016). Designing improvisational interfaces. Goldsmiths (University of London). 98–105. 8 indexed citations
11.
d’Inverno, Mark & Jon McCormack. (2015). Heroic versus collaborative AI for the arts. Monash University Research Portal (Monash University). 2438–2444. 15 indexed citations
12.
McCormack, Jon & Mark d’Inverno. (2014). On the future of computers and creativity. 10 indexed citations
13.
McCormack, Jon, et al.. (2012). COMPRESSED MULTIDIMENSIONAL TREES FOR EVOLUTIONARY MUSIC REPRESENTATION. The Journal of the Abraham Lincoln Association. 2012. 608–613. 2 indexed citations
14.
Dorin, Alan, et al.. (2012). A framework for understanding generative art. Digital Creativity. 23(3-4). 239–259. 25 indexed citations
15.
McCormack, Jon. (2010). Enhancing Creativity with Niche Construction. Artificial Life. 525–532. 4 indexed citations
16.
McCormack, Jon, Margaret A. Boden, & Mark d’Inverno. (2009). 09291 Summary – Computational Creativity: an interdisciplinary approach. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 0. 1 indexed citations
17.
McCormack, Jon. (2003). Evolving sonic ecosystems. Kybernetes. 32(1/2). 184–202. 12 indexed citations
18.
Dorin, Alan & Jon McCormack. (2002). Self-assembling dynamical hierarchies. 423–428. 6 indexed citations
19.
Dorin, Alan & Jon McCormack. (1999). First Iteration - A Conference on Generative Systems in the Electronic Arts. 1 indexed citations
20.
McCormack, Jon. (1991). Iconographic dental typography. A dental character font for computer graphics. BDJ. 170(11). 417–420. 2 indexed citations

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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