Markus Schedl

138 papers and 1.7k indexed citations i.

About

Markus Schedl is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Markus Schedl has authored 138 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Signal Processing, 73 papers in Computer Vision and Pattern Recognition and 45 papers in Artificial Intelligence. Recurrent topics in Markus Schedl’s work include Music and Audio Processing (91 papers), Music Technology and Sound Studies (52 papers) and Neuroscience and Music Perception (27 papers). Markus Schedl is often cited by papers focused on Music and Audio Processing (91 papers), Music Technology and Sound Studies (52 papers) and Neuroscience and Music Perception (27 papers). Markus Schedl collaborates with scholars based in Austria, Italy and Spain. Markus Schedl's co-authors include Peter Knees, Gerhard Widmer, Julián Urbano, Tim Pohle, Arthur Flexer, Yashar Deldjoo, Emília Gómez, Dominik Schnitzer, Marko Tkalčič and Paolo Cremonesi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of Markus Schedl i

Fields of papers citing papers by Markus Schedl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Markus Schedl

Since Specialization
Citations

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