Jon McCormack

157 total papers · 2.0k total citations
63 papers, 676 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 676 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), Creativity in Education and Neuroscience (9 papers) and Aesthetic Perception and Analysis (9 papers). Jon McCormack is often cited by papers focused on Music Technology and Sound Studies (21 papers), Creativity in Education and Neuroscience (9 papers) and Aesthetic Perception and Analysis (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, Matthew Yee-King, Toby Gifford, Alice Eldridge, Mitchell Whitelaw and Ryan Kelly 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

56 papers receiving 593 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jon McCormack	293	173	127	115	98	63	676
Chenglei Yang	145 0.5×	92 0.5×	107 0.8×	167 1.5×	102 1.0×	96	626
Michael Glueck	337 1.2×	109 0.6×	123 1.0×	218 1.9×	25 0.3×	41	736
Achim Ebert	291 1.0×	78 0.5×	84 0.7×	174 1.5×	42 0.4×	110	620
Cuixia Ma	394 1.3×	220 1.3×	75 0.6×	182 1.6×	44 0.4×	62	737
Cheng Yao	117 0.4×	79 0.5×	94 0.7×	144 1.3×	22 0.2×	79	580
Baptiste Caramiaux	289 1.0×	267 1.5×	99 0.8×	200 1.7×	119 1.2×	46	641
S. Joy Mountford	235 0.8×	161 0.9×	107 0.8×	332 2.9×	12 0.1×	21	780
Kiyoshi Kogure	287 1.0×	57 0.3×	240 1.9×	110 1.0×	59 0.6×	88	775
Philippe Guillotel	228 0.8×	286 1.7×	23 0.2×	173 1.5×	74 0.8×	41	609
Sumit Kumar Das	154 0.5×	64 0.4×	101 0.8×	88 0.8×	38 0.4×	41	565

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

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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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