Gustav Mikkelsen
- Health Information Management top 2%
- Molecular Biology
- Hematology
- Physiology
- General Health Professions
- Co-authors
- Jan AaslyArne ÅsbergKetil ThorstensenIngrid Alsos LianSven Magnus CarlsenAnn ÅsbergKnut AasarødElke Hoffmann
- Topics
- Clinical Laboratory Practices and Quality Control (11 papers)Statistical Methods in Clinical Trials (5 papers)Iron Metabolism and Disorders (4 papers)
- Journals
- Journal of the American Medical Informatics AssociationScandinavian Journal of Medicine and Science in SportsComputer Methods and Programs in Biomedicine
- Partner nations
- NorwayDenmarkUnited States
In The Last Decade
Gustav Mikkelsen
28 papers receiving 296 citations
Peers
Comparison fields: 5 of 115
- Health Information Management 79
- Molecular Biology 48
- Hematology 41
- Physiology 40
- General Health Professions 38
Countries citing papers authored by Gustav Mikkelsen
This map shows the geographic impact of Gustav Mikkelsen'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 Gustav Mikkelsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gustav Mikkelsen more than expected).
Fields of papers citing papers by Gustav Mikkelsen
This network shows the impact of papers produced by Gustav Mikkelsen. 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 Gustav Mikkelsen. The network helps show where Gustav Mikkelsen may publish in the future.
Co-authorship network of co-authors of Gustav Mikkelsen
This figure shows the co-authorship network connecting the top 25 collaborators of Gustav Mikkelsen. A scholar is included among the top collaborators of Gustav Mikkelsen 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 Gustav Mikkelsen. Gustav Mikkelsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 11 | |
| 12 | 24 | |
| 13 | 9 | |
| 14 | 9 | |
| 15 | 37 | |
| 16 | 4 | |
| 17 | 17 | |
| 18 | 13 | |
| 19 | 4 | |
| 20 | 76 |
About Gustav Mikkelsen
Gustav Mikkelsen is a scholar working on Statistics, Probability and Uncertainty, Health Information Management and Health Informatics, having authored 34 papers that have together received 309 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (11 papers), Statistical Methods in Clinical Trials (5 papers) and Iron Metabolism and Disorders (4 papers). The work is most often cited by research in Health Information Management (79 citations), Medical Terminology (3 citations) and Issues, ethics and legal aspects (10 citations). Gustav Mikkelsen has collaborated with scholars based in Norway, Denmark and United States. Frequent co-authors include Jan Aasly, Arne Åsberg, Ketil Thorstensen, Ingrid Alsos Lian, Sven Magnus Carlsen, Ann Åsberg, Knut Aasarød, Elke Hoffmann, Harald Johnsen and Lars Erik Laugsand. Their work appears in journals such as Journal of the American Medical Informatics Association, Scandinavian Journal of Medicine and Science in Sports and Computer Methods and Programs in Biomedicine.
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.