Øystein Nytrø

1.5k total citations
73 papers, 911 citations indexed

About

Øystein Nytrø is a scholar working on Health Information Management, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Øystein Nytrø has authored 73 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Health Information Management, 25 papers in Artificial Intelligence and 21 papers in Molecular Biology. Recurrent topics in Øystein Nytrø's work include Electronic Health Records Systems (31 papers), Biomedical Text Mining and Ontologies (21 papers) and Healthcare Systems and Technology (10 papers). Øystein Nytrø is often cited by papers focused on Electronic Health Records Systems (31 papers), Biomedical Text Mining and Ontologies (21 papers) and Healthcare Systems and Technology (10 papers). Øystein Nytrø collaborates with scholars based in Norway, United States and Germany. Øystein Nytrø's co-authors include Per Øystein Saksvik, Hans Torvatn, Aslaug Mikkelsen, Per Øystein Saksvik, Tove Helland Hammer, Mahmut Bayazıt, Philip Bohle, Michael Quinlan, Lise Tuset Gustad and Yngve Dahl and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and Journal of the American Medical Informatics Association.

In The Last Decade

Øystein Nytrø

69 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Øystein Nytrø Norway 13 356 208 182 150 138 73 911
Seung Eun Lee South Korea 22 333 0.9× 150 0.7× 251 1.4× 170 1.1× 13 0.1× 84 1.3k
Mu’taman Jarrar Saudi Arabia 15 170 0.5× 44 0.2× 85 0.5× 93 0.6× 58 0.4× 40 699
María Brunette United States 10 104 0.3× 39 0.2× 222 1.2× 47 0.3× 87 0.6× 26 620
Tal Katz–Navon Israel 17 105 0.3× 296 1.4× 442 2.4× 189 1.3× 18 0.1× 37 1.1k
Ellen Balka Canada 18 264 0.7× 54 0.3× 43 0.2× 253 1.7× 34 0.2× 83 1.1k
Carlos Luís Parra-Calderón Spain 17 284 0.8× 40 0.2× 26 0.1× 76 0.5× 107 0.8× 80 1.0k
Godefridus G. van Merode Netherlands 19 411 1.2× 109 0.5× 35 0.2× 57 0.4× 12 0.1× 53 983
Dimitra Sifaki‐Pistolla Greece 16 273 0.8× 53 0.3× 38 0.2× 40 0.3× 59 0.4× 54 884
Shirley C. Sonesh United States 11 154 0.4× 111 0.5× 182 1.0× 73 0.5× 12 0.1× 22 827
Rachel L. Day United States 6 256 0.7× 78 0.4× 107 0.6× 64 0.4× 8 0.1× 6 804

Countries citing papers authored by Øystein Nytrø

Since Specialization
Citations

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

Fields of papers citing papers by Øystein Nytrø

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Øystein Nytrø

This figure shows the co-authorship network connecting the top 25 collaborators of Øystein Nytrø. A scholar is included among the top collaborators of Øystein Nytrø 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 Øystein Nytrø. Øystein Nytrø 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.
Nytrø, Øystein, et al.. (2025). Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review. BMC Medical Informatics and Decision Making. 25(1). 190–190.
2.
Gustad, Lise Tuset, et al.. (2024). Predicting In-Hospital Death from Derived EHR Trajectory Features. Studies in health technology and informatics. 310. 269–273. 3 indexed citations
3.
Nytrø, Øystein, et al.. (2024). A review of information sources and analysis methods for data driven decision aids in child and adolescent mental health services. International Journal of Medical Informatics. 188. 105479–105479. 1 indexed citations
4.
Gustad, Lise Tuset, et al.. (2023). Terminology and ontology development for semantic annotation: A use case on sepsis and adverse events. Semantic Web. 14(5). 811–871. 2 indexed citations
5.
Lin, Yu, Thomas Beale, William D. Duncan, et al.. (2023). Improving the Quality and Utility of Electronic Health Record Data through Ontologies. SHILAP Revista de lepidopterología. 3(3). 316–340. 5 indexed citations
6.
Leventhal, Bennett, et al.. (2023). Usability of the IDDEAS prototype in child and adolescent mental health services: A qualitative study for clinical decision support system development. Frontiers in Psychiatry. 14. 1033724–1033724. 4 indexed citations
7.
Pilán, Ildikó, et al.. (2020). Classification of Syncope Cases in Norwegian Medical Records. 79–84. 1 indexed citations
8.
Tvedt, Christine Raaen, et al.. (2020). Identifying catheter-related events through sentence classification. International Journal of Data Mining and Bioinformatics. 23(3). 213–213. 3 indexed citations
9.
Nytrø, Øystein, et al.. (2017). A Systematic Literature Review on Evaluation of Digital Tools for Authoring Evidence-Based Clinical Guidelines. Studies in health technology and informatics. 239. 48–54. 2 indexed citations
10.
Nytrø, Øystein, et al.. (2017). Reviewing clinical guideline development tools: features and characteristics. BMC Medical Informatics and Decision Making. 17(1). 132–132. 6 indexed citations
11.
Nytrø, Øystein, et al.. (2011). Clinical guidelines as decision support for referrals from primary care. 406–411. 4 indexed citations
12.
Nytrø, Øystein, et al.. (2010). The avoidable misfortune of a computerized patient chart.. PubMed. 160(Pt 1). 131–5. 2 indexed citations
13.
Dalianis, Hercules, Martin Hassel, Dimitrios Kokkinakis, et al.. (2010). Characteristics and Analysis of Finnish and Swedish Clinical Intensive Care Nursing Narratives. ANU Open Research (Australian National University). 53–60. 10 indexed citations
14.
Toussaint, Pieter J., et al.. (2009). Computer-Mediated Mobile Messaging as Collaboration Support for Nurses. Studies in health technology and informatics. 150. 740–4. 2 indexed citations
15.
Nytrø, Øystein, et al.. (2009). Analysis of communicative behaviour: Profiling roles and activities. International Journal of Medical Informatics. 79(6). e144–e151. 5 indexed citations
16.
Nytrø, Øystein, et al.. (2008). Lessons from Developing an Annotated Corpus of Patient Histories. Journal of Computing Science and Engineering. 2(2). 162–179. 4 indexed citations
17.
18.
Saksvik, Per Øystein, Hans Torvatn, & Øystein Nytrø. (2003). Systematic occupational health and safety work in Norway: a decade of implementation. Safety Science. 41(9). 721–738. 42 indexed citations
19.
Dingsøyr, Torgeir, et al.. (2001). Augmenting Experience Reports with Lightweight Postmortem Reviews : Third International Conference on Product Focused Software Process Improvment, 10-13 September, Kaiserslautern, Germany. Lecture notes in computer science. 2188. 167–181. 6 indexed citations
20.
Saksvik, Per Øystein & Øystein Nytrø. (2001). Improving subjective health and reducing absenteeism in a natural work life–intervention. Scandinavian Journal of Psychology. 42(1). 17–24. 14 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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