Sten Ardal
- Modeling and Simulation top 1%
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases top 10%
- Economics and Econometrics top 10%
- General Health Professions top 10%
- Co-authors
- Jian WuP. van den DriesscheFred BrauerBeni M. SahaiMurray E. AlexanderShigui RuanTroy DayAbba B. Gumel
- Topics
- Healthcare Policy and Management (5 papers)Primary Care and Health Outcomes (4 papers)SARS-CoV-2 and COVID-19 Research (2 papers)
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Journals
- Proceedings of the Royal Society B Biological SciencesCanadian Journal of Public HealthMathematical Biosciences & Engineering
- Partner nations
- CanadaUnited StatesDenmark
In The Last Decade
Sten Ardal
10 papers receiving 565 citations
Peers
Comparison fields: 5 of 87
- Modeling and Simulation 290
- Public Health, Environmental and Occupational Health 233
- Infectious Diseases 152
- Economics and Econometrics 152
- General Health Professions 120
Countries citing papers authored by Sten Ardal
This map shows the geographic impact of Sten Ardal'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 Sten Ardal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sten Ardal more than expected).
Fields of papers citing papers by Sten Ardal
This network shows the impact of papers produced by Sten Ardal. 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 Sten Ardal. The network helps show where Sten Ardal may publish in the future.
Co-authorship network of co-authors of Sten Ardal
This figure shows the co-authorship network connecting the top 25 collaborators of Sten Ardal. A scholar is included among the top collaborators of Sten Ardal 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 Sten Ardal. Sten Ardal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 62 | |
| 2 | 50 | |
| 3 | 24 | |
| 4 | 2 | |
| 5 | 67 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 63 | |
| 9 | 292 | |
| 10 | 11 |
About Sten Ardal
Sten Ardal is a scholar working on Modeling and Simulation, Health and General Health Professions, having authored 10 papers that have together received 586 indexed citations. Recurring topics across this work include Healthcare Policy and Management (5 papers), Primary Care and Health Outcomes (4 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Modeling and Simulation (290 citations), Infectious Diseases (152 citations) and Public Health, Environmental and Occupational Health (233 citations). Sten Ardal has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include Jian Wu, P. van den Driessche, Fred Brauer, Beni M. Sahai, Murray E. Alexander, Shigui Ruan, Troy Day, Abba B. Gumel, James Watmough and Christopher Bowman. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Canadian Journal of Public Health and Mathematical Biosciences & Engineering.
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.