Øistein E. Andersen
- Artificial Intelligence top 5%
- Information Systems
- Developmental and Educational Psychology
- Computer Vision and Pattern Recognition
- Language and Linguistics
- Co-authors
- Ted BriscoeMariano FeliceChristopher BryantHelen YannakoudakisJennifer FosterZheng YuanEkaterina KochmarArdeshir Geranpayeh
- Topics
- Natural Language Processing Techniques (12 papers)Topic Modeling (11 papers)Text Readability and Simplification (4 papers)
- Journals
- Language Resources and EvaluationApplied Measurement in EducationApollo (University of Cambridge)
- Partner nations
- United KingdomIrelandUnited States
In The Last Decade
Øistein E. Andersen
11 papers receiving 381 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 402
- Information Systems 34
- Developmental and Educational Psychology 24
- Computer Vision and Pattern Recognition 20
- Language and Linguistics 19
Countries citing papers authored by Øistein E. Andersen
This map shows the geographic impact of Øistein E. Andersen'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 Øistein E. Andersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Øistein E. Andersen more than expected).
Fields of papers citing papers by Øistein E. Andersen
This network shows the impact of papers produced by Øistein E. Andersen. 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 Øistein E. Andersen. The network helps show where Øistein E. Andersen may publish in the future.
Co-authorship network of co-authors of Øistein E. Andersen
This figure shows the co-authorship network connecting the top 25 collaborators of Øistein E. Andersen. A scholar is included among the top collaborators of Øistein E. Andersen 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 Øistein E. Andersen. Øistein E. Andersen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 164 | |
| 4 | 1 | |
| 5 | 46 | |
| 6 | 31 | |
| 7 | 72 | |
| 8 | Developing and testing a self-assessment and tutoring system | 23 |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 55 | |
| 12 | The BNC parsed with RASP4UIMA | 19 |
About Øistein E. Andersen
Øistein E. Andersen is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 434 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Topic Modeling (11 papers) and Text Readability and Simplification (4 papers). The work is most often cited by research in Artificial Intelligence (402 citations), Developmental and Educational Psychology (24 citations) and Language and Linguistics (19 citations). Øistein E. Andersen has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Ted Briscoe, Mariano Felice, Christopher Bryant, Helen Yannakoudakis, Jennifer Foster, Zheng Yuan, Ekaterina Kochmar, Ardeshir Geranpayeh, Marek Rei and Fiona Barker. Their work appears in journals such as Language Resources and Evaluation, Applied Measurement in Education and Apollo (University of Cambridge).
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.