György Fazekas

92 papers and 772 indexed citations i.

About

György Fazekas is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, György Fazekas has authored 92 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Signal Processing, 60 papers in Computer Vision and Pattern Recognition and 17 papers in Artificial Intelligence. Recurrent topics in György Fazekas’s work include Music and Audio Processing (67 papers), Music Technology and Sound Studies (56 papers) and Speech and Audio Processing (22 papers). György Fazekas is often cited by papers focused on Music and Audio Processing (67 papers), Music Technology and Sound Studies (56 papers) and Speech and Audio Processing (22 papers). György Fazekas collaborates with scholars based in United Kingdom, United States and Italy. György Fazekas's co-authors include M. Sandler, Keunwoo Choi, Kyunghyun Cho, Mathieu Barthet, Luca Turchet, Yves Raimond, Fabio Viola, Şefki Kolozali, Tuomas Eerola and Sheng Di and has published in prestigious journals such as Journal of Applied Mechanics, Sensors and IEEE Internet of Things Journal.

In The Last Decade

Co-authorship network of co-authors of György Fazekas i

Fields of papers citing papers by György Fazekas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by György Fazekas

Since Specialization
Citations

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