Jenna Kanerva
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Semantic Web and Ontologies
- Speech and dialogue systems
- Authorship Attribution and Profiling
Papers in
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- Natural Language Processing Techniques 32
- Topic Modeling 31
- Text Readability and Simplification 13
- Speech and dialogue systems 5
- Authorship Attribution and Profiling 2
- Semantic Web and Ontologies 2
- Advanced Text Analysis Techniques 1
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- Biomedical Text Mining and Ontologies 3
- Co-authors
- Filip Ginter (32 shared papers)Sampo Pyysalo (8 shared papers)Veronika Laippala (7 shared papers)Tapio Salakoski (5 shared papers)Juhani Luotolahti (8 shared papers)Anna Missilä (3 shared papers)Akseli Leino (2 shared papers)Jörg Tiedemann (3 shared papers)
In The Last Decade
Jenna Kanerva
27 papers receiving 192 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 205
- Language and Linguistics 19
- Developmental and Educational Psychology 10
- Computer Vision and Pattern Recognition 16
- Computer Science Applications 4
Countries citing papers authored by Jenna Kanerva
This map shows the geographic impact of Jenna Kanerva'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 Jenna Kanerva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenna Kanerva more than expected).
Fields of papers citing papers by Jenna Kanerva
This network shows the impact of papers produced by Jenna Kanerva. 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 Jenna Kanerva. The network helps show where Jenna Kanerva may publish in the future.
Co-authors
The 22 scholars most cited alongside Jenna Kanerva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 31 | |
| 2 | Universal Dependencies for Finnish | 2015 | 30 |
| 3 | 2018 | 17 | |
| 4 | 2015 | 16 | |
| 5 | Towards Universal Web Parsebanks | 2015 | 12 |
| 6 | 2014 | 11 | |
| 7 | Is Multilingual BERT Fluent in Language Generation | 2019 | 10 |
| 8 | 2016 | 10 | |
| 9 | Assessing the Annotation Consistency of the Universal Dependencies Corpora | 2017 | 10 |
| 10 | 2015 | 9 | |
| 11 | 2014 | 8 | |
| 12 | 2016 | 8 | |
| 13 | 2015 | 7 | |
| 14 | 2020 | 5 | |
| 15 | 2015 | 5 | |
| 16 | 2014 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2020 | 4 | |
| 19 | The FISKMÖ Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research | 2020 | 3 |
| 20 | Template-free Data-to-Text Generation of Finnish Sports News | 2019 | 3 |
About Jenna Kanerva
Jenna Kanerva is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 32 papers that have together received 219 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (32 papers), Topic Modeling (31 papers), Text Readability and Simplification (13 papers), Speech and dialogue systems (5 papers), Biomedical Text Mining and Ontologies (3 papers), Authorship Attribution and Profiling (2 papers), Semantic Web and Ontologies (2 papers) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (205 citations), Language and Linguistics (19 citations), Developmental and Educational Psychology (10 citations), Computer Vision and Pattern Recognition (16 citations) and Computer Science Applications (4 citations). Jenna Kanerva has collaborated with scholars based in Finland, Sweden and Pakistan. Frequent co-authors include Filip Ginter, Sampo Pyysalo, Veronika Laippala, Tapio Salakoski, Juhani Luotolahti, Anna Missilä, Akseli Leino, Jörg Tiedemann, Marie-Catherine de Marneffe and Katri Haverinen. Their work appears in journals such as Language Resources and Evaluation, Artificial Intelligence in Medicine, Natural Language Engineering, BMC Bioinformatics and Corpus Linguistics and Linguistic Theory.
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.