Kari Auranen
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies 11
- Microbiology top 0.5%
- Bacterial Infections and Vaccines 27
- Epidemiology top 1%
- Pneumonia and Respiratory Infections 52
- Respiratory viral infections research 33
- Influenza Virus Research Studies 30
- Data-Driven Disease Surveillance 4
- Health top 2%
- Vaccine Coverage and Hesitancy 4
- Infectious Diseases top 2%
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- Neurofibromatosis and Schwannoma Cases 5
- Co-authors
- Jacco WallingaJanneke C. M. HeijneMałgorzata Sadkowska-TodysMagdalena RosińskaRafael MikolajczykJoël MossongW. John EdmundsMark Jit
- Journals
- Journal of the American Statistical Association (2 papers)PLoS ONE (5 papers)American Journal of Respiratory and Critical Care Medicine (1 paper)
- Partner nations
- FinlandUnited StatesUnited Kingdom
In The Last Decade
Kari Auranen
94 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Modeling and Simulation 1.5k
- Microbiology 702
- Epidemiology 2.4k
- Health 367
- Infectious Diseases 720
Countries citing papers authored by Kari Auranen
This map shows the geographic impact of Kari Auranen'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 Kari Auranen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kari Auranen more than expected).
Fields of papers citing papers by Kari Auranen
This network shows the impact of papers produced by Kari Auranen. 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 Kari Auranen. The network helps show where Kari Auranen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kari Auranen, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 2 | |
| 10 | 2017 | 29 | |
| 11 | 2017 | 47 | |
| 12 | 2013 | 29 | |
| 13 | 2013 | 39 | |
| 14 | 2013 | 41 | |
| 15 | 2009 | 19 | |
| 16 | 2009 | 61 | |
| 17 | 2009 | 41 | |
| 18 | 2004 | 41 | |
| 19 | 2002 | 33 | |
| 20 | 1996 | 13 |
About Kari Auranen
Kari Auranen is a scholar working on Microbiology, Modeling and Simulation and Epidemiology, having authored 99 papers that have together received 3.8k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (52 papers), Respiratory viral infections research (33 papers), Influenza Virus Research Studies (30 papers), Bacterial Infections and Vaccines (27 papers), COVID-19 epidemiological studies (11 papers), Neurofibromatosis and Schwannoma Cases (5 papers), Vaccine Coverage and Hesitancy (4 papers) and Data-Driven Disease Surveillance (4 papers). The work is most often cited by research in Modeling and Simulation (1.5k citations), Microbiology (702 citations) and Epidemiology (2.4k citations). Kari Auranen has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Jacco Wallinga, Janneke C. M. Heijne, Małgorzata Sadkowska-Todys, Magdalena Rosińska, Rafael Mikolajczyk, Joël Mossong, W. John Edmunds, Mark Jit, Philippe Beutels and Gianpaolo Scalia Tomba. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.
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.