Countries citing papers authored by Matthew Yee-King
Since
Specialization
Citations
This map shows the geographic impact of Matthew Yee-King'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 Matthew Yee-King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Yee-King more than expected).
Fields of papers citing papers by Matthew Yee-King
This network shows the impact of papers produced by Matthew Yee-King. 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 Matthew Yee-King. The network helps show where Matthew Yee-King may publish in the future.
Co-authorship network of co-authors of Matthew Yee-King
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Yee-King.
A scholar is included among the top collaborators of Matthew Yee-King 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 Matthew Yee-King. Matthew Yee-King is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yee-King, Matthew, et al.. (2019). Measuring the Impact of Level of Detail for Environmental Soundscapes in Digital Games. Journal of the Audio Engineering Society.3 indexed citations
Grierson, Mick, et al.. (2017). Write once run anywhere revisited: machine learning and audio tools in the browser with C++ and emscripten. Goldsmiths (University of London).3 indexed citations
al‐Rifaie, Mohammad Majid, Matthew Yee-King, & Mark d’Inverno. (2016). Investigating Swarm Intelligence for Performance Prediction.. Goldsmiths (University of London). 264–269.2 indexed citations
10.
Yee-King, Matthew & Mark d’Inverno. (2016). Experience driven design of creative systems. Goldsmiths (University of London). 85–92.10 indexed citations
Yee-King, Matthew. (2016). The Use of Interactive Genetic Algorithms in Sound Design: A Comparison Study. Goldsmiths (University of London).1 indexed citations
13.
Gillies, Marco, et al.. (2015). Sketches vs skeletons. Goldsmiths (University of London). 104–111.5 indexed citations
14.
Yee-King, Matthew, et al.. (2014). Designing Educational Social Machines for Effective Feedback.. International Association for Development of the Information Society. 2014(1).7 indexed citations
Roth, Martin M. & Matthew Yee-King. (2011). A Comparison of Parametric Optimization Techniques for Musical Instrument Tone Matching. Journal of the Audio Engineering Society.8 indexed citations
18.
Yee-King, Matthew. (2011). An autonomous timbre matching improviser.. The Journal of the Abraham Lincoln Association. 2011.3 indexed citations
19.
Grierson, Mick, Chris Kiefer, & Matthew Yee-King. (2011). Progress Report on the EAVI BCI Toolkit for Music: Musical Applications of Algorithms for use with consumer brain computer interfaces. Sussex Research Online (University of Sussex). 2011.4 indexed citations
20.
Yee-King, Matthew & Martin M. Roth. (2009). SYNTHBOT: AN UNSUPERVISED SOFTWARE SYNTHESIZER PROGRAMMER. The Journal of the Abraham Lincoln Association. 2008.11 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.