Jenna Kanerva

14 papers and 68 indexed citations i.

About

Jenna Kanerva is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jenna Kanerva has authored 14 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 2 papers in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jenna Kanerva’s work include Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Speech and dialogue systems (4 papers). Jenna Kanerva is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Speech and dialogue systems (4 papers). Jenna Kanerva collaborates with scholars based in Finland, Italy and Pakistan. Jenna Kanerva's co-authors include Filip Ginter, Tapio Salakoski, Veronika Laippala, Joakim Nivre, Stina Ojala, Anna Missilä, Juhani Luotolahti, Maria Simi, Sebastian Schuster and Simonetta Montemagni⋄ and has published in prestigious journals such as BMC Bioinformatics, Artificial Intelligence in Medicine and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Jenna Kanerva i

Fields of papers citing papers by Jenna Kanerva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Jenna Kanerva

Since Specialization
Citations

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).

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.

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2025