Tapio Salakoski

93 papers and 2.2k indexed citations i.

About

Tapio Salakoski is a scholar working on Artificial Intelligence, Molecular Biology and Computer Science Applications. According to data from OpenAlex, Tapio Salakoski has authored 93 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 44 papers in Molecular Biology and 13 papers in Computer Science Applications. Recurrent topics in Tapio Salakoski’s work include Biomedical Text Mining and Ontologies (32 papers), Topic Modeling (26 papers) and Natural Language Processing Techniques (22 papers). Tapio Salakoski is often cited by papers focused on Biomedical Text Mining and Ontologies (32 papers), Topic Modeling (26 papers) and Natural Language Processing Techniques (22 papers). Tapio Salakoski collaborates with scholars based in Finland, Belgium and Pakistan. Tapio Salakoski's co-authors include Jari Björne, Filip Ginter, Sampo Pyysalo, Antti Airola, Tapio Pahikkala, Jorma Boberg, Juho Heimonen, Jouni Järvinen, Sanna Salanterä and Bernard De Baets and has published in prestigious journals such as Bioinformatics, PLoS ONE and Chemosphere.

In The Last Decade

Co-authorship network of co-authors of Tapio Salakoski i

Fields of papers citing papers by Tapio Salakoski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tapio Salakoski. 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 Tapio Salakoski. The network helps show where Tapio Salakoski may publish in the future.

Countries citing papers authored by Tapio Salakoski

Since Specialization
Citations

This map shows the geographic impact of Tapio Salakoski'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 Tapio Salakoski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tapio Salakoski 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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