Aura Timen
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 1%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
Papers in ⓘ
-
- COVID-19 epidemiological studies 25
- Co-authors
- Jim van Steenbergen (24 shared papers)Jacco Wallinga (4 shared papers)Clementine Wijkmans (6 shared papers)Marion Koopmans (17 shared papers)Marlies Hulscher (11 shared papers)G. Morroy (6 shared papers)Barbara Schimmer (3 shared papers)Corien Swaan (15 shared papers)
- Journals
- European Journal of Public Health (15 papers)BMC Public Health (15 papers)Eurosurveillance (11 papers)Emerging infectious diseases (11 papers)PLoS ONE (10 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Aura Timen
134 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 146
- Modeling and Simulation 336
- Infectious Diseases 981
- Parasitology 312
- Health 252
- Emergency Medical Services 211
Countries citing papers authored by Aura Timen
This map shows the geographic impact of Aura Timen'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 Aura Timen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aura Timen more than expected).
Fields of papers citing papers by Aura Timen
This network shows the impact of papers produced by Aura Timen. 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 Aura Timen. The network helps show where Aura Timen may publish in the future.
Co-authors
The 25 scholars most cited alongside Aura Timen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 123 | |
| 2 | 2009 | 118 | |
| 3 | 2009 | 109 | |
| 4 | 2010 | 100 | |
| 5 | 2008 | 92 | |
| 6 | 2016 | 84 | |
| 7 | 2009 | 78 | |
| 8 | 2009 | 68 | |
| 9 | 2013 | 60 | |
| 10 | 2014 | 58 | |
| 11 | 2017 | 47 | |
| 12 | 2011 | 40 | |
| 13 | 2019 | 36 | |
| 14 | 2020 | 34 | |
| 15 | 2012 | 31 | |
| 16 | 2013 | 30 | |
| 17 | 2012 | 28 | |
| 18 | 2021 | 27 | |
| 19 | 2010 | 26 | |
| 20 | 2020 | 25 |
About Aura Timen
Aura Timen is a scholar working on Modeling and Simulation, Applied Microbiology and Biotechnology, Infectious Diseases, Emergency Medical Services and Health, having authored 158 papers that have together received 2.0k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (41 papers), Disaster Response and Management (26 papers), COVID-19 epidemiological studies (25 papers), Influenza Virus Research Studies (22 papers), Vaccine Coverage and Hesitancy (21 papers), Viral Infections and Vectors (15 papers), Vector-borne infectious diseases (12 papers) and Respiratory viral infections research (12 papers). The work is most often cited by research in Modeling and Simulation (336 citations), Infectious Diseases (981 citations), Parasitology (312 citations), Health (252 citations) and Emergency Medical Services (211 citations). Aura Timen has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Jim van Steenbergen, Jacco Wallinga, Clementine Wijkmans, Marion Koopmans, Marlies Hulscher, G. Morroy, Barbara Schimmer, Corien Swaan, Susan Hahné and Peter Teunis. Their work appears in journals such as European Journal of Public Health, BMC Public Health, Eurosurveillance, Emerging infectious diseases and PLoS ONE.
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.