Tomi Kinnunen

148 papers and 4.4k indexed citations i.

About

Tomi Kinnunen is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tomi Kinnunen has authored 148 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Artificial Intelligence, 129 papers in Signal Processing and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tomi Kinnunen’s work include Speech Recognition and Synthesis (136 papers), Speech and Audio Processing (126 papers) and Music and Audio Processing (89 papers). Tomi Kinnunen is often cited by papers focused on Speech Recognition and Synthesis (136 papers), Speech and Audio Processing (126 papers) and Music and Audio Processing (89 papers). Tomi Kinnunen collaborates with scholars based in Finland, Singapore and Japan. Tomi Kinnunen's co-authors include Haizhou Li, Md Sahidullah, Junichi Yamagishi, Nicholas Evans, Zhizheng Wu, Cemal Hanilçi, Kong Aik Lee, Ville Hautamäki, А. С. Сизов and Héctor Delgado and has published in prestigious journals such as The Journal of the Acoustical Society of America, Pattern Recognition Letters and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Co-authorship network of co-authors of Tomi Kinnunen i

Fields of papers citing papers by Tomi Kinnunen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomi Kinnunen

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025