Rune Sætre

1.3k total citations
24 papers, 781 citations indexed

About

Rune Sætre is a scholar working on Molecular Biology, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Rune Sætre has authored 24 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 21 papers in Artificial Intelligence and 1 paper in General Health Professions. Recurrent topics in Rune Sætre's work include Biomedical Text Mining and Ontologies (21 papers), Natural Language Processing Techniques (13 papers) and Semantic Web and Ontologies (12 papers). Rune Sætre is often cited by papers focused on Biomedical Text Mining and Ontologies (21 papers), Natural Language Processing Techniques (13 papers) and Semantic Web and Ontologies (12 papers). Rune Sætre collaborates with scholars based in Japan, United Kingdom and Norway. Rune Sætre's co-authors include Jun’ichi Tsujii, Makoto Miwa, Yusuke Miyao, Kenji Sagae, Takuya Matsuzaki, Jin-Dong Kim, Kazuhiro YOSHIDA, Tomoko Ohta, Sampo Pyysalo and Yoshinobu Kano and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and BMC Health Services Research.

In The Last Decade

Rune Sætre

22 papers receiving 732 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rune Sætre Japan 13 630 584 31 24 14 24 781
Juho Heimonen Finland 8 688 1.1× 611 1.0× 35 1.1× 17 0.7× 12 0.9× 15 808
Willie J. Rogers United States 6 308 0.5× 305 0.5× 31 1.0× 15 0.6× 6 0.4× 11 383
Yikun Guo United Kingdom 11 351 0.6× 377 0.6× 20 0.6× 30 1.3× 8 0.6× 24 466
Joachim Wermter Germany 13 259 0.4× 374 0.6× 15 0.5× 33 1.4× 8 0.6× 21 454
Yueping Sun China 4 323 0.5× 460 0.8× 27 0.9× 15 0.6× 11 0.8× 9 526
Jun'ichi Tsujii Japan 5 255 0.4× 214 0.4× 24 0.8× 14 0.6× 12 0.9× 7 365
Arantza Casillas Spain 14 275 0.4× 405 0.7× 40 1.3× 38 1.6× 13 0.9× 59 510
J E Rogers United Kingdom 9 202 0.3× 184 0.3× 11 0.4× 23 1.0× 8 0.6× 11 280
Abdul Mateen Rajput Germany 5 192 0.3× 225 0.4× 76 2.5× 23 1.0× 11 0.8× 10 338
Koldo Gojenola Spain 12 184 0.3× 377 0.6× 24 0.8× 25 1.0× 13 0.9× 63 443

Countries citing papers authored by Rune Sætre

Since Specialization
Citations

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

Fields of papers citing papers by Rune Sætre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rune Sætre

This figure shows the co-authorship network connecting the top 25 collaborators of Rune Sætre. A scholar is included among the top collaborators of Rune Sætre 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 Rune Sætre. Rune Sætre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sætre, Rune, et al.. (2016). Visual exploration and cohort identification of acute patient histories aggregated from heterogeneous sources. BIBSYS Brage (BIBSYS (Norway)). 22. 71–77.
2.
3.
Johnsen, Roar, et al.. (2015). The influence of an intermediate care hospital on health care utilization among elderly patients - a retrospective comparative cohort study. BMC Health Services Research. 15(1). 48–48. 15 indexed citations
4.
Rinaldi, Fabio, Kaarel Kaljurand, & Rune Sætre. (2011). Terminological resources for text mining over biomedical scientific literature. Artificial Intelligence in Medicine. 52(2). 107–114. 15 indexed citations
5.
Riedel, Sebastian, Rune Sætre, Hong-Woo Chun, Toshihisa Takagi, & Jun’ichi Tsujii. (2011). BIO-MOLECULAR EVENT EXTRACTION WITH MARKOV LOGIC. Computational Intelligence. 27(4). 558–582. 7 indexed citations
6.
Miwa, Makoto, Rune Sætre, Yusuke Miyao, & Jun’ichi Tsujii. (2010). Entity-Focused Sentence Simplification for Relation Extraction. International Conference on Computational Linguistics. 788–796. 44 indexed citations
7.
Miwa, Makoto, Rune Sætre, Jin-Dong Kim, & Jun’ichi Tsujii. (2010). EVENT EXTRACTION WITH COMPLEX EVENT CLASSIFICATION USING RICH FEATURES. Journal of Bioinformatics and Computational Biology. 8(1). 131–146. 131 indexed citations
8.
Sætre, Rune, Kazuhiro YOSHIDA, Makoto Miwa, et al.. (2010). Extracting Protein Interactions from Text with the Unified AkaneRE Event Extraction System. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 7(3). 442–453. 27 indexed citations
9.
Wang, Yue, Jin-Dong Kim, Rune Sætre, et al.. (2010). IMPROVING THE INTER-CORPORA COMPATIBILITY FOR PROTEIN ANNOTATIONS. Journal of Bioinformatics and Computational Biology. 8(5). 901–916. 7 indexed citations
10.
Ohta, Tomoko, Takuya Matsuzaki, Naoaki Okazaki, et al.. (2010). Medie and Info-pubmed: 2010 update. BMC Bioinformatics. 11(S5). 11 indexed citations
11.
Wang, Yue, Jin-Dong Kim, Rune Sætre, Sampo Pyysalo, & Jun’ichi Tsujii. (2009). Investigating heterogeneous protein annotations toward cross-corpora utilization. BMC Bioinformatics. 10(1). 403–403. 20 indexed citations
12.
Miwa, Makoto, Rune Sætre, Yusuke Miyao, & Jun’ichi Tsujii. (2009). Protein–protein interaction extraction by leveraging multiple kernels and parsers. International Journal of Medical Informatics. 78(12). e39–e46. 114 indexed citations
13.
Sætre, Rune, Makoto Miwa, Kazuhiro YOSHIDA, & Jun’ichi Tsujii. (2009). From protein-protein interaction to molecular event extraction. 103–103. 9 indexed citations
14.
Miwa, Makoto, Rune Sætre, Yusuke Miyao, & Jun’ichi Tsujii. (2009). A rich feature vector for protein-protein interaction extraction from multiple corpora. 1. 121–121. 73 indexed citations
15.
Kano, Yoshinobu, Ngan Luu-Thuy Nguyen, Rune Sætre, et al.. (2008). Towards Data And Goal Oriented Analysis: Tool Inter-Operability And Combinatorial Comparison. Research Explorer (The University of Manchester). 859–864. 3 indexed citations
16.
Miyao, Yusuke, Rune Sætre, Kenji Sagae, Takuya Matsuzaki, & Jun’ichi Tsujii. (2008). Task-oriented Evaluation of Syntactic Parsers and Their Representations. Meeting of the Association for Computational Linguistics. 46–54. 63 indexed citations
17.
Sagae, Kenji, Yusuke Miyao, Rune Sætre, & Jun’ichi Tsujii. (2008). Evaluating the effects of treebank size in a practical application for parsing. 14–20. 5 indexed citations
18.
Miyao, Yusuke, Kenji Sagae, Rune Sætre, Takuya Matsuzaki, & Jun’ichi Tsujii. (2008). Evaluating contributions of natural language parsers to protein–protein interaction extraction. Bioinformatics. 25(3). 394–400. 110 indexed citations
19.
Miwa, Makoto, Rune Sætre, Yusuke Miyao, Tomoko Ohta, & Jun’ichi Tsujii. (2008). Combining Multiple Layers of Syntactic Information for Protein-Protein Interaction Extraction. 26 indexed citations
20.
Sætre, Rune, et al.. (2005). ProtChew: Automatic Extraction of Protein Names from Biomedical Literature. 2737. 1161–1161. 3 indexed citations

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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