Silja Huttunen

621 total citations
12 papers, 412 citations indexed

About

Silja Huttunen is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Silja Huttunen has authored 12 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Molecular Biology and 5 papers in Information Systems. Recurrent topics in Silja Huttunen's work include Web Data Mining and Analysis (5 papers), Topic Modeling (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Silja Huttunen is often cited by papers focused on Web Data Mining and Analysis (5 papers), Topic Modeling (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Silja Huttunen collaborates with scholars based in Finland, United States and Italy. Silja Huttunen's co-authors include Roman Yangarber, Ralph Grishman, Pasi Tapanainen, Arto Vihavainen, Матти Вуоринен, Lidia Pivovarova, Vanni Zavarella, Jakub Piskorski and Martin Atkinson and has published in prestigious journals such as Journal of Biomedical Informatics, Language Resources and Evaluation and Joint Research Centre (European Commission).

In The Last Decade

Silja Huttunen

12 papers receiving 358 citations

Peers

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).

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.

Co-authorship network of co-authors of Silja Huttunen

This figure shows the co-authorship network connecting the top 25 collaborators of Silja Huttunen. A scholar is included among the top collaborators of Silja Huttunen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Silja Huttunen. Silja Huttunen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Event representation across genre 2013 ·Työväentutkimus Vuosikirja ·Lidia Pivovarova, Silja Huttunen, Roman Yangarber	7
2	Relevance Prediction in Information Extraction using Discourse and Lexical Features 2011 ·DSpace repository (University of Tartu) ·Silja Huttunen, Arto Vihavainen, Roman Yangarber	2
3	Assessment of Utility in Web Mining for the Domain of Public Health 2010 ·North American Chapter of the Association for Computational Linguistics ·(unknown), Silja Huttunen, Arto Vihavainen, Матти Вуоринен, Roman Yangarber	13
4	Real-time text mining in multilingual news for the creation of a pre-frontier intelligence picture 2010 ·Jakub Piskorski, Martin Atkinson, (unknown), Vanni Zavarella, Silja Huttunen, Roman Yangarber	3
5	News mining for border security Intelligence 2010 ·Joint Research Centre (European Commission) ·Martin Atkinson, (unknown), Vanni Zavarella, Jakub Piskorski, Silja Huttunen, Arto Vihavainen, Roman Yangarber	3
6	Extracting information about outbreaks of infectious epidemics 2005 ·Roman Yangarber, (unknown), (unknown), Silja Huttunen	13
7	Diversity of scenarios in information extraction 2002 ·Language Resources and Evaluation ·Silja Huttunen, Roman Yangarber, Ralph Grishman	18
8	Information extraction for enhanced access to disease outbreak reports 2002 ·Journal of Biomedical Informatics ·Ralph Grishman, Silja Huttunen, Roman Yangarber	70
9	Complexity of event structure in IE scenarios 2002 ·Silja Huttunen, Roman Yangarber, Ralph Grishman	18
10	Real-time event extraction for infectious disease outbreaks 2002 ·Ralph Grishman, Silja Huttunen, Roman Yangarber	40
11	Automatic acquisition of domain knowledge for Information Extraction 2000 ·Roman Yangarber, Ralph Grishman, Pasi Tapanainen, Silja Huttunen	169
12	Unsupervised discovery of scenario-level patterns for Information Extraction 2000 ·Roman Yangarber, Ralph Grishman, Pasi Tapanainen, Silja Huttunen	56

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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