Ulpu Remes

24 papers and 144 indexed citations i.

About

Ulpu Remes is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ulpu Remes has authored 24 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Signal Processing, 13 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ulpu Remes’s work include Speech and Audio Processing (21 papers), Speech Recognition and Synthesis (13 papers) and Music and Audio Processing (9 papers). Ulpu Remes is often cited by papers focused on Speech and Audio Processing (21 papers), Speech Recognition and Synthesis (13 papers) and Music and Audio Processing (9 papers). Ulpu Remes collaborates with scholars based in Finland, United Kingdom and The Netherlands. Ulpu Remes's co-authors include Mikko Kurimo, Kalle Palomäki, Paavo Alku, Jort F. Gemmeke, Reima Karhila, Bert Cranen, Santeri Yrttiaho, Hannu Pulakka, Keiichi Tokuda and Yoshihiko Nankaku and has published in prestigious journals such as IEEE Signal Processing Letters, IEEE Journal of Selected Topics in Signal Processing and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Co-authorship network of co-authors of Ulpu Remes i

Fields of papers citing papers by Ulpu Remes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ulpu Remes

Since Specialization
Citations

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