Gerhard Widmer

193 papers and 3.8k indexed citations i.

About

Gerhard Widmer is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Gerhard Widmer has authored 193 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Signal Processing, 131 papers in Computer Vision and Pattern Recognition and 58 papers in Artificial Intelligence. Recurrent topics in Gerhard Widmer’s work include Music and Audio Processing (162 papers), Music Technology and Sound Studies (120 papers) and Speech and Audio Processing (69 papers). Gerhard Widmer is often cited by papers focused on Music and Audio Processing (162 papers), Music Technology and Sound Studies (120 papers) and Speech and Audio Processing (69 papers). Gerhard Widmer collaborates with scholars based in Austria, United States and United Kingdom. Gerhard Widmer's co-authors include Miroslav Kubát, Elias Pampalk, Markus Schedl, Sebastian Böck, Simon Dixon, Peter Knees, Arthur Flexer, Tim Pohle, Florian Krebs and Werner Goebl and has published in prestigious journals such as Information Sciences, Artificial Intelligence and IEEE Signal Processing Magazine.

In The Last Decade

Co-authorship network of co-authors of Gerhard Widmer i

Fields of papers citing papers by Gerhard Widmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gerhard Widmer

Since Specialization
Citations

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