Silja Huttunen

About

Silja Huttunen is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Silja Huttunen has authored 6 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Silja Huttunen’s work include Web Data Mining and Analysis (3 papers), Semantic Web and Ontologies (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Silja Huttunen is often cited by papers focused on Web Data Mining and Analysis (3 papers), Semantic Web and Ontologies (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Silja Huttunen collaborates with scholars based in United States and Finland. Silja Huttunen's co-authors include Roman Yangarber, Ralph Grishman, Pasi Tapanainen, Матти Вуоринен and Arto Vihavainen and has published in prestigious journals such as Journal of Biomedical Informatics, Language Resources and Evaluation and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Silja Huttunen i

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Fields of papers citing papers by Silja Huttunen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Silja Huttunen

Since Specialization

Citations

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