Sander Dieleman

20 papers and 9.1k indexed citations i.

About

Sander Dieleman is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Sander Dieleman has authored 20 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Sander Dieleman’s work include Music and Audio Processing (11 papers), Speech and Audio Processing (8 papers) and Music Technology and Sound Studies (7 papers). Sander Dieleman is often cited by papers focused on Music and Audio Processing (11 papers), Speech and Audio Processing (8 papers) and Music Technology and Sound Studies (7 papers). Sander Dieleman collaborates with scholars based in Belgium, United States and United Kingdom. Sander Dieleman's co-authors include Koray Kavukcuoglu, Nal Kalchbrenner, Laurent Sifre, Aja Huang, David Silver, Ilya Sutskever, Chris J. Maddison, Timothy Lillicrap, Demis Hassabis and Dominik Grewe and has published in prestigious journals such as Nature, Monthly Notices of the Royal Astronomical Society and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Sander Dieleman i

Fields of papers citing papers by Sander Dieleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sander Dieleman

Since Specialization
Citations

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