Aki Härmä

About

Aki Härmä is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Aki Härmä has authored 58 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Signal Processing, 17 papers in Computational Mechanics and 15 papers in Artificial Intelligence. Recurrent topics in Aki Härmä’s work include Speech and Audio Processing (31 papers), Advanced Adaptive Filtering Techniques (17 papers) and Music and Audio Processing (14 papers). Aki Härmä is often cited by papers focused on Speech and Audio Processing (31 papers), Advanced Adaptive Filtering Techniques (17 papers) and Music and Audio Processing (14 papers). Aki Härmä collaborates with scholars based in The Netherlands, Finland and Switzerland. Aki Härmä's co-authors include Panu Somervuo, Seppo Fagerlund, Unto K. Laine, Matti Karjalainen, Helmer Strik, Lauri Savioja, Jyri Huopaniemi, Vesa Välimäki, Vincent Tam and Matjaž Gams and has published in prestigious journals such as Neural Networks, Information Fusion and Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Aki Härmä i

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Fields of papers citing papers by Aki Härmä

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aki Härmä

Since Specialization

Citations

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