Vesa Siivola
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Experimental and Cognitive Psychology
- Computer Vision and Pattern Recognition
- Information Systems
- Co-authors
- Teemu HirsimäkiMikko KurimoMathias CreutzSámi VirpiojaJanne PylkkönenBryan PellomAntti PuurulaEbru Arısoy
- Topics
- Natural Language Processing Techniques (12 papers)Speech Recognition and Synthesis (11 papers)Topic Modeling (10 papers)
- Journals
- IEEE Transactions on Audio Speech and Language ProcessingComputer Speech & LanguageInfoscience (Ecole Polytechnique Fédérale de Lausanne)
- Partner nations
- FinlandTürkiyeUnited States
In The Last Decade
Vesa Siivola
13 papers receiving 345 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 442
- Signal Processing 85
- Experimental and Cognitive Psychology 18
- Computer Vision and Pattern Recognition 17
- Information Systems 15
Countries citing papers authored by Vesa Siivola
This map shows the geographic impact of Vesa Siivola'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 Vesa Siivola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vesa Siivola more than expected).
Fields of papers citing papers by Vesa Siivola
This network shows the impact of papers produced by Vesa Siivola. 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 Vesa Siivola. The network helps show where Vesa Siivola may publish in the future.
Co-authorship network of co-authors of Vesa Siivola
This figure shows the co-authorship network connecting the top 25 collaborators of Vesa Siivola. A scholar is included among the top collaborators of Vesa Siivola 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 Vesa Siivola. Vesa Siivola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Analysis of Morph-Based Speech Recognition and the Modeling of Out-of-Vocabulary Words Across Languages | 13 |
| 2 | 92 | |
| 3 | 4 | |
| 4 | 12 | |
| 5 | 59 | |
| 6 | 69 | |
| 7 | 96 | |
| 8 | Morphologically Motivated Language Models in Speech Recognition | 9 |
| 9 | 39 | |
| 10 | 1 | |
| 11 | 51 | |
| 12 | Äännemallien vertailua jatkuvassa suuren sanaston puheentunnistuksessa | 1 |
| 13 | 17 | |
| 14 | Language modeling based on neural clustering of words | 3 |
About Vesa Siivola
Vesa Siivola is a scholar working on Artificial Intelligence, Human-Computer Interaction and Infectious Diseases, having authored 14 papers that have together received 466 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Speech Recognition and Synthesis (11 papers) and Topic Modeling (10 papers). The work is most often cited by research in Artificial Intelligence (442 citations), Signal Processing (85 citations) and Experimental and Cognitive Psychology (18 citations). Vesa Siivola has collaborated with scholars based in Finland, Türkiye and United States. Frequent co-authors include Teemu Hirsimäki, Mikko Kurimo, Mathias Creutz, Sámi Virpioja, Janne Pylkkönen, Bryan Pellom, Antti Puurula, Ebru Arısoy, Murat Saraçlar and Andreas Stolcke. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, Computer Speech & Language and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.