Stig-Arne Grönroos
- Artificial Intelligence top 5%
- Natural Language Processing Techniques 22
- Topic Modeling 19
- Speech and dialogue systems 7
- Text Readability and Simplification 5
- Speech Recognition and Synthesis 4
- Machine Learning and Algorithms 2
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- Multimodal Machine Learning Applications 4
- Handwritten Text Recognition Techniques 2
- Language and Linguistics top 10%
- Co-authors
- Sámi VirpiojaMikko KurimoPeter SmitJörg TiedemannUmut SulubacakAku RouheLucia SpeciaOzan Çağlayan
- Journals
- SHILAP Revista de lepidopterología (1 paper)Computational Linguistics (1 paper)Language Resources and Evaluation (1 paper)
- Partner nations
- FinlandUnited StatesDenmark
In The Last Decade
Stig-Arne Grönroos
21 papers receiving 309 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 335
- Computer Vision and Pattern Recognition 91
- Language and Linguistics 23
- Signal Processing 15
- Linguistics and Language 4
Countries citing papers authored by Stig-Arne Grönroos
This map shows the geographic impact of Stig-Arne Grönroos'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 Stig-Arne Grönroos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stig-Arne Grönroos more than expected).
Fields of papers citing papers by Stig-Arne Grönroos
This network shows the impact of papers produced by Stig-Arne Grönroos. 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 Stig-Arne Grönroos. The network helps show where Stig-Arne Grönroos may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Stig-Arne Grönroos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 9 | |
| 2 | 2022 | 2 | |
| 3 | Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation | 2020 | 5 |
| 4 | 2020 | 5 | |
| 5 | Machine translation into morphologically rich low-resource languages | 2020 | 0 |
| 6 | 2020 | 34 | |
| 7 | 2019 | 2 | |
| 8 | 2019 | 2 | |
| 9 | 2018 | 1 | |
| 10 | 2018 | 5 | |
| 11 | 2018 | 36 | |
| 12 | 2018 | 6 | |
| 13 | 2017 | 9 | |
| 14 | 2016 | 17 | |
| 15 | 2016 | 2 | |
| 16 | 2016 | 0 | |
| 17 | 2015 | 2 | |
| 18 | 2015 | 4 | |
| 19 | Morfessor FlatCat: An HMM-Based Method for Unsupervised and Semi-Supervised Learning of Morphology | 2014 | 47 |
| 20 | Morfessor 2.0: Python Implementation and Extensions for Morfessor Baseline | 2013 | 100 |
About Stig-Arne Grönroos
Stig-Arne Grönroos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 23 papers that have together received 358 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (22 papers), Topic Modeling (19 papers), Speech and dialogue systems (7 papers), Text Readability and Simplification (5 papers), Multimodal Machine Learning Applications (4 papers), Speech Recognition and Synthesis (4 papers), Handwritten Text Recognition Techniques (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (335 citations), Computer Vision and Pattern Recognition (91 citations) and Language and Linguistics (23 citations). Stig-Arne Grönroos has collaborated with scholars based in Finland, United States and Denmark. Frequent co-authors include Sámi Virpioja, Mikko Kurimo, Peter Smit, Jörg Tiedemann, Umut Sulubacak, Aku Rouhe, Lucia Specia, Ozan Çağlayan, Desmond Elliott and Benoît Huet. Their work appears in journals such as SHILAP Revista de lepidopterología, Computational Linguistics and Language Resources and Evaluation.
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.