Eero Väyrynen
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence
- Signal Processing top 10%
- Social Psychology
- Co-authors
- Tapio SeppänenJukka KortelainenHeikki KeränenTuomo K. LeinoKerttu HuttunenRauno PääkkönenPaavo AlkuTeija Waaramaa
- Topics
- EEG and Brain-Computer Interfaces (9 papers)Emotion and Mood Recognition (7 papers)Music and Audio Processing (6 papers)
- Cited by
- Experimental and Cognitive PsychologyCognitive NeuroscienceAnesthesiology and Pain Medicine
- Journals
- AnesthesiologyIEEE Transactions on Biomedical EngineeringIEEE Transactions on Neural Systems and Rehabilitation Engineering
- Partner nations
- FinlandUnited StatesUnited Kingdom
In The Last Decade
Eero Väyrynen
24 papers receiving 341 citations
Peers
Comparison fields: 5 of 92
- Cognitive Neuroscience 181
- Experimental and Cognitive Psychology 125
- Artificial Intelligence 66
- Signal Processing 60
- Social Psychology 42
Countries citing papers authored by Eero Väyrynen
This map shows the geographic impact of Eero Väyrynen'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 Eero Väyrynen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eero Väyrynen more than expected).
Fields of papers citing papers by Eero Väyrynen
This network shows the impact of papers produced by Eero Väyrynen. 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 Eero Väyrynen. The network helps show where Eero Väyrynen may publish in the future.
Co-authorship network of co-authors of Eero Väyrynen
This figure shows the co-authorship network connecting the top 25 collaborators of Eero Väyrynen. A scholar is included among the top collaborators of Eero Väyrynen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eero Väyrynen. Eero Väyrynen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 6 | |
| 4 | 10 | |
| 5 | 9 | |
| 6 | 20 | |
| 7 | Emotion recognition from speech using prosodic features | 8 |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 23 | |
| 11 | 26 | |
| 12 | 29 | |
| 13 | 67 | |
| 14 | 13 | |
| 15 | 22 | |
| 16 | Automatic classification of segmental second language speech quality using prosodic features | 1 |
| 17 | 18 | |
| 18 | 2 | |
| 19 | 13 | |
| 20 | 18 |
About Eero Väyrynen
Eero Väyrynen is a scholar working on Anesthesiology and Pain Medicine, Experimental and Cognitive Psychology and Signal Processing, having authored 25 papers that have together received 364 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Emotion and Mood Recognition (7 papers) and Music and Audio Processing (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (125 citations), Cognitive Neuroscience (181 citations) and Anesthesiology and Pain Medicine (35 citations). Eero Väyrynen has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Tapio Seppänen, Jukka Kortelainen, Heikki Keränen, Tuomo K. Leino, Kerttu Huttunen, Rauno Pääkkönen, Paavo Alku, Teija Waaramaa, Anne-Maria Laukkanen and Seppo J. Laukka. Their work appears in journals such as Anesthesiology, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Neural Systems and Rehabilitation Engineering.
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.