Sten Ardal
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Fractional Differential Equations Solutions
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- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
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- Primary Care and Health Outcomes 4
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- Healthcare Policy and Management 4
- Co-authors
- James Watmough (1 shared paper)Christopher Bowman (1 shared paper)Abba B. Gumel (1 shared paper)Murray E. Alexander (1 shared paper)D. Gabrielson (1 shared paper)Troy Day (1 shared paper)Fred Brauer (1 shared paper)P. van den Driessche (1 shared paper)
- Journals
- Canadian Journal of Public Health (2 papers)Mathematical Biosciences & Engineering (1 paper)Proceedings of the Royal Society B Biological Sciences (1 paper)Canadian Journal of Emergency Medicine (1 paper)Healthcare policy (3 papers)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Sten Ardal
10 papers receiving 585 citations
Peers
Comparison fields: 5 of 82
- Modeling and Simulation 293
- Public Health, Environmental and Occupational Health 221
- Infectious Diseases 134
- Genetics 83
- General Health Professions 63
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-authors
The 25 scholars most cited alongside Sten Ardal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 301 | |
| 2 | 2006 | 70 | |
| 3 | 2004 | 66 | |
| 4 | 2013 | 62 | |
| 5 | 2010 | 50 | |
| 6 | 2010 | 27 | |
| 7 | 2005 | 13 | |
| 8 | 2003 | 11 | |
| 9 | 2005 | 3 | |
| 10 | 2006 | 2 |
About Sten Ardal
Sten Ardal is a scholar working on General Health Professions, Economics and Econometrics, Infectious Diseases, Modeling and Simulation and Surgery, having authored 10 papers that have together received 605 indexed citations. Recurring topics across this work include Primary Care and Health Outcomes (4 papers), Healthcare Policy and Management (4 papers), COVID-19 epidemiological studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Global Health Workforce Issues (1 paper), Viral Infections and Outbreaks Research (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper) and Healthcare Quality and Management (1 paper). The work is most often cited by research in Modeling and Simulation (293 citations), Public Health, Environmental and Occupational Health (221 citations), Infectious Diseases (134 citations), Genetics (83 citations) and General Health Professions (63 citations). Sten Ardal has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include James Watmough, Christopher Bowman, Abba B. Gumel, Murray E. Alexander, D. Gabrielson, Troy Day, Fred Brauer, P. van den Driessche, Beni M. Sahai and Huaiping Zhu. Their work appears in journals such as Canadian Journal of Public Health, Mathematical Biosciences & Engineering, Proceedings of the Royal Society B Biological Sciences, Canadian Journal of Emergency Medicine and Healthcare policy.
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.