Rune Sætre
- Molecular Biology
- Artificial Intelligence top 2%
- Computational Theory and Mathematics
- Information Systems
- Computer Vision and Pattern Recognition
- Co-authors
- Jun’ichi TsujiiMakoto MiwaYusuke MiyaoKenji SagaeTakuya MatsuzakiJin-Dong KimTomoko OhtaKazuhiro YOSHIDA
- Topics
- Biomedical Text Mining and Ontologies (21 papers)Natural Language Processing Techniques (13 papers)Semantic Web and Ontologies (12 papers)
- Partner nations
- JapanUnited KingdomNorway
In The Last Decade
Rune Sætre
22 papers receiving 732 citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 630
- Artificial Intelligence 584
- Computational Theory and Mathematics 31
- Information Systems 24
- Computer Vision and Pattern Recognition 14
Countries citing papers authored by Rune Sætre
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 15 | |
| 5 | 15 | |
| 6 | Entity-Focused Sentence Simplification for Relation Extraction | 44 |
| 7 | 27 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 131 | |
| 11 | 20 | |
| 12 | 114 | |
| 13 | 73 | |
| 14 | Task-oriented Evaluation of Syntactic Parsers and Their Representations | 63 |
| 15 | Towards Data And Goal Oriented Analysis: Tool Inter-Operability And Combinatorial Comparison | 3 |
| 16 | 5 | |
| 17 | 110 | |
| 18 | Combining Multiple Layers of Syntactic Information for Protein-Protein Interaction Extraction | 26 |
| 19 | 12 | |
| 20 | Syntactic Features for Protein-Protein Interaction Extraction. | 76 |
About Rune Sætre
Rune Sætre is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 781 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (21 papers), Natural Language Processing Techniques (13 papers) and Semantic Web and Ontologies (12 papers). The work is most often cited by research in Artificial Intelligence (584 citations), Molecular Biology (630 citations) and Computational Theory and Mathematics (31 citations). Rune Sætre has collaborated with scholars based in Japan, United Kingdom and Norway. Frequent co-authors include Jun’ichi Tsujii, Makoto Miwa, Yusuke Miyao, Kenji Sagae, Takuya Matsuzaki, Jin-Dong Kim, Tomoko Ohta, Kazuhiro YOSHIDA, Sampo Pyysalo and Yoshinobu Kano. Their work appears in journals such as Bioinformatics, BMC Bioinformatics and BMC Health Services Research.
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.