Kari Torkkola

22 papers and 763 indexed citations i.

About

Kari Torkkola is a scholar working on Artificial Intelligence, Signal Processing and Molecular Biology. According to data from OpenAlex, Kari Torkkola has authored 22 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 11 papers in Signal Processing and 3 papers in Molecular Biology. Recurrent topics in Kari Torkkola’s work include Neural Networks and Applications (10 papers), Speech Recognition and Synthesis (5 papers) and Blind Source Separation Techniques (4 papers). Kari Torkkola is often cited by papers focused on Neural Networks and Applications (10 papers), Speech Recognition and Synthesis (5 papers) and Blind Source Separation Techniques (4 papers). Kari Torkkola collaborates with scholars based in United States, Finland and Switzerland. Kari Torkkola's co-authors include George C. Runger, Alexander Borisov, Eugene Tuv, William M. Campbell, Lea Leinonen, Jari Kangas, Yuyang Wang, Tim Januschowski, Timo Erkkilä and Jan Gasthaus and has published in prestigious journals such as The Journal of the Acoustical Society of America, Information Sciences and Journal of Speech Language and Hearing Research.

In The Last Decade

Co-authorship network of co-authors of Kari Torkkola i

Fields of papers citing papers by Kari Torkkola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kari Torkkola

Since Specialization
Citations

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