Janne Pylkkönen
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition
- Experimental and Cognitive Psychology
- Information Systems
- Co-authors
- Mikko KurimoTeemu HirsimäkiVesa SiivolaMathias CreutzEbru ArısoyAntti PuurulaMurat SaraçlarSámi Virpioja
- Topics
- Speech Recognition and Synthesis (13 papers)Speech and Audio Processing (6 papers)Natural Language Processing Techniques (6 papers)
- Journals
- IEEE Transactions on Audio Speech and Language ProcessingComputer Speech & LanguageNorth American Chapter of the Association for Computational Linguistics
In The Last Decade
Janne Pylkkönen
14 papers receiving 324 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 382
- Signal Processing 112
- Computer Vision and Pattern Recognition 26
- Experimental and Cognitive Psychology 18
- Information Systems 12
Countries citing papers authored by Janne Pylkkönen
This map shows the geographic impact of Janne Pylkkönen'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 Janne Pylkkönen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janne Pylkkönen more than expected).
Fields of papers citing papers by Janne Pylkkönen
This network shows the impact of papers produced by Janne Pylkkönen. 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 Janne Pylkkönen. The network helps show where Janne Pylkkönen may publish in the future.
Co-authorship network of co-authors of Janne Pylkkönen
This figure shows the co-authorship network connecting the top 25 collaborators of Janne Pylkkönen. A scholar is included among the top collaborators of Janne Pylkkönen 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 Janne Pylkkönen. Janne Pylkkönen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | Towards Efficient and Robust Automatic Speech Recognition: Decoding Techniques and Discriminative Training | 3 |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 68 | |
| 8 | Analysis of Morph-Based Speech Recognition and the Modeling of Out-of-Vocabulary Words Across Languages | 13 |
| 9 | 92 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 69 | |
| 13 | 96 | |
| 14 | 12 | |
| 15 | 42 |
About Janne Pylkkönen
Janne Pylkkönen is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 413 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (13 papers), Speech and Audio Processing (6 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (382 citations), Signal Processing (112 citations) and Experimental and Cognitive Psychology (18 citations). Janne Pylkkönen has collaborated with scholars based in Finland, Türkiye and Estonia. Frequent co-authors include Mikko Kurimo, Teemu Hirsimäki, Vesa Siivola, Mathias Creutz, Ebru Arısoy, Antti Puurula, Murat Saraçlar, Sámi Virpioja, Andreas Stolcke and Tanel Alumäe. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, Computer Speech & Language and North American Chapter of the Association for Computational Linguistics.
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.