Sten Ardal
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
Papers in
-
- Primary Care and Health Outcomes 4
-
- Healthcare Policy and Management 5
- Health Systems, Economic Evaluations, Quality of Life 1
- Co-authors
- Jian Wu (2 shared papers)D. Gabrielson (1 shared paper)Fred Brauer (1 shared paper)Beni M. Sahai (1 shared paper)Murray E. Alexander (1 shared paper)P. van den Driessche (1 shared paper)Abba B. Gumel (1 shared paper)Shigui Ruan (1 shared paper)
- Journals
- Canadian Journal of Public Health (2 papers)Canadian Journal of Emergency Medicine (1 paper)Proceedings of the Royal Society B Biological Sciences (1 paper)Mathematical Biosciences & Engineering (1 paper)Healthcare policy (3 papers)
- Partner nations
- CanadaUnited StatesTaiwan
In The Last Decade
Sten Ardal
10 papers receiving 565 citations
Peers
Comparison fields: 5 of 87
- Modeling and Simulation 290
- Infectious Diseases 152
- Public Health, Environmental and Occupational Health 233
- 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-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 | 292 | |
| 2 | 2006 | 67 | |
| 3 | 2004 | 63 | |
| 4 | 2013 | 62 | |
| 5 | 2010 | 50 | |
| 6 | 2010 | 24 | |
| 7 | 2005 | 12 | |
| 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, Health and Modeling and Simulation, 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), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 epidemiological studies (2 papers), Health disparities and outcomes (2 papers), Maternal and Perinatal Health Interventions (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Global Health Workforce Issues (1 paper). The work is most often cited by research in Modeling and Simulation (290 citations), Infectious Diseases (152 citations), Public Health, Environmental and Occupational Health (233 citations), Economics and Econometrics (152 citations) and General Health Professions (120 citations). Sten Ardal has collaborated with scholars based in Canada, United States and Taiwan. Frequent co-authors include Jian Wu, D. Gabrielson, Fred Brauer, Beni M. Sahai, Murray E. Alexander, P. van den Driessche, Abba B. Gumel, Shigui Ruan, Troy Day and James Watmough. Their work appears in journals such as Canadian Journal of Public Health, Canadian Journal of Emergency Medicine, Proceedings of the Royal Society B Biological Sciences, Mathematical Biosciences & Engineering 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.