Tim Perkis

3 papers and 262 indexed citations i.

About

Tim Perkis is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Industrial relations. According to data from OpenAlex, Tim Perkis has authored 3 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Signal Processing and 0 papers in Industrial relations. Recurrent topics in Tim Perkis’s work include Music Technology and Sound Studies (2 papers) and Music and Audio Processing (1 paper). Tim Perkis is often cited by papers focused on Music Technology and Sound Studies (2 papers) and Music and Audio Processing (1 paper). Tim Perkis collaborates with scholars based in United States. Tim Perkis's co-authors include Gregory Kramer and has published in prestigious journals such as Computer Music Journal.

In The Last Decade

Co-authorship network of co-authors of Tim Perkis i

Fields of papers citing papers by Tim Perkis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Perkis. 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 Tim Perkis. The network helps show where Tim Perkis may publish in the future.

Countries citing papers authored by Tim Perkis

Since Specialization
Citations

This map shows the geographic impact of Tim Perkis'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 Tim Perkis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Perkis more than expected).

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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2025