Mikael Nyström
- Pathology and Forensic Medicine top 10%
- Epidemiology
- Molecular Biology
- Artificial Intelligence
- Health Information Management top 2%
- Co-authors
- Mikko SalaspuroHans ÅhlfeldtDaniel KarlssonHåkan PeterssonKatja S. SalmelaKalevi LaitinenAnna VikströmGunnar Nilsson
- Topics
- Biomedical Text Mining and Ontologies (13 papers)Semantic Web and Ontologies (8 papers)Substance Abuse Treatment and Outcomes (5 papers)
- Journals
- Alcoholism Clinical and Experimental ResearchSAE technical papers on CD-ROM/SAE technical paper seriesBMC Medical Informatics and Decision Making
- Partner nations
- SwedenFinlandNetherlands
In The Last Decade
Mikael Nyström
27 papers receiving 366 citations
Peers
Comparison fields: 5 of 91
- Pathology and Forensic Medicine 166
- Epidemiology 146
- Molecular Biology 139
- Artificial Intelligence 77
- Health Information Management 65
Countries citing papers authored by Mikael Nyström
This map shows the geographic impact of Mikael Nyström'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 Mikael Nyström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikael Nyström more than expected).
Fields of papers citing papers by Mikael Nyström
This network shows the impact of papers produced by Mikael Nyström. 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 Mikael Nyström. The network helps show where Mikael Nyström may publish in the future.
Co-authorship network of co-authors of Mikael Nyström
This figure shows the co-authorship network connecting the top 25 collaborators of Mikael Nyström. A scholar is included among the top collaborators of Mikael Nyström 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 Mikael Nyström. Mikael Nyström is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 23 | |
| 3 | 4 | |
| 4 | An integrated Expression Repository EHR system | 2 |
| 5 | 9 | |
| 6 | 26 | |
| 7 | 55 | |
| 8 | 5 | |
| 9 | Graphical overview and navigation of electronic health records in a prototyping environment using Google Earth and openEHR archetypes. | 20 |
| 10 | An approach for generating fuzzy rules from decision trees. | 1 |
| 11 | 14 | |
| 12 | Design Thinking in Business Innovation | 1 |
| 13 | Interactive visualization and navigation of complex terminology systems, exemplified by SNOMED CT. | 9 |
| 14 | 52 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | 13 | |
| 18 | 37 | |
| 19 | 87 | |
| 20 | 11 |
About Mikael Nyström
Mikael Nyström is a scholar working on Health Information Management, Architecture and Artificial Intelligence, having authored 29 papers that have together received 411 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (13 papers), Semantic Web and Ontologies (8 papers) and Substance Abuse Treatment and Outcomes (5 papers). The work is most often cited by research in Medical Terminology (4 citations), Health Information Management (65 citations) and Pathology and Forensic Medicine (166 citations). Mikael Nyström has collaborated with scholars based in Sweden, Finland and Netherlands. Frequent co-authors include Mikko Salaspuro, Hans Åhlfeldt, Daniel Karlsson, Håkan Petersson, Katja S. Salmela, Kalevi Laitinen, Anna Vikström, Gunnar Nilsson, Alan Rector and Ronald Cornet. Their work appears in journals such as Alcoholism Clinical and Experimental Research, SAE technical papers on CD-ROM/SAE technical paper series and BMC Medical Informatics and Decision Making.
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.