Maja Taseska

23 papers and 266 indexed citations i.

About

Maja Taseska is a scholar working on Signal Processing, Computational Mechanics and Cognitive Neuroscience. According to data from OpenAlex, Maja Taseska has authored 23 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Signal Processing, 13 papers in Computational Mechanics and 6 papers in Cognitive Neuroscience. Recurrent topics in Maja Taseska’s work include Speech and Audio Processing (22 papers), Advanced Adaptive Filtering Techniques (13 papers) and Music and Audio Processing (9 papers). Maja Taseska is often cited by papers focused on Speech and Audio Processing (22 papers), Advanced Adaptive Filtering Techniques (13 papers) and Music and Audio Processing (9 papers). Maja Taseska collaborates with scholars based in Germany, Belgium and Finland. Maja Taseska's co-authors include Emanuël A. P. Habets, Oliver Thiergart, Giovanni Del Galdo, Ville Pulkki, Okan Köpüklü, Gerhard Rigoll, Toon van Waterschoot, Konrad Kowalczyk, Daniel Jarrett and Patrick A. Naylor and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Signal Processing and IEEE Signal Processing Magazine.

In The Last Decade

Co-authorship network of co-authors of Maja Taseska i

Fields of papers citing papers by Maja Taseska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maja Taseska

Since Specialization
Citations

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