Gunnar Rø
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 7
-
- COVID-19 epidemiological studies 7
- Co-authors
- Valentin V. Khoze (3 shared papers)Shahnaaz Sharif (3 shared papers)Birgitte Freiesleben de Blasio (8 shared papers)Davies Kimanga (2 shared papers)Arnoldo Frigessi (6 shared papers)Hinta Meijerink (2 shared papers)Karin Nygård (4 shared papers)Elisabeth Henie Madslien (3 shared papers)
- Journals
- Influenza and Other Respiratory Viruses (3 papers)PLoS Computational Biology (2 papers)Journal of the Royal Statistical Society Series A (Statistics in Society) (2 papers)International Journal of Medical Informatics (2 papers)PLoS ONE (2 papers)
- Partner nations
- NorwayUnited KingdomUnited States
In The Last Decade
Gunnar Rø
24 papers receiving 396 citations
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 52
- Infectious Diseases 133
- Health Informatics 9
- Health Information Management 27
- Nuclear and High Energy Physics 71
Countries citing papers authored by Gunnar Rø
This map shows the geographic impact of Gunnar Rø'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 Gunnar Rø with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gunnar Rø more than expected).
Fields of papers citing papers by Gunnar Rø
This network shows the impact of papers produced by Gunnar Rø. 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 Gunnar Rø. The network helps show where Gunnar Rø may publish in the future.
Co-authors
The 25 scholars most cited alongside Gunnar Rø, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 70 | |
| 2 | 2015 | 49 | |
| 3 | 2015 | 41 | |
| 4 | 2014 | 39 | |
| 5 | 2022 | 28 | |
| 6 | 2015 | 22 | |
| 7 | 2016 | 20 | |
| 8 | 2016 | 19 | |
| 9 | 2021 | 15 | |
| 10 | 2015 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2023 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 2021 | 11 | |
| 15 | 2012 | 10 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2024 | 2 |
About Gunnar Rø
Gunnar Rø is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Nuclear and High Energy Physics and General Health Professions, having authored 27 papers that have together received 400 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Data-Driven Disease Surveillance (5 papers), Particle physics theoretical and experimental studies (3 papers), Dark Matter and Cosmic Phenomena (3 papers), Mobile Health and mHealth Applications (2 papers), Advanced Data Storage Technologies (2 papers) and Cosmology and Gravitation Theories (2 papers). The work is most often cited by research in Modeling and Simulation (52 citations), Infectious Diseases (133 citations), Health Informatics (9 citations), Health Information Management (27 citations) and Nuclear and High Energy Physics (71 citations). Gunnar Rø has collaborated with scholars based in Norway, United Kingdom and United States. Frequent co-authors include Valentin V. Khoze, Shahnaaz Sharif, Birgitte Freiesleben de Blasio, Davies Kimanga, Arnoldo Frigessi, Hinta Meijerink, Karin Nygård, Elisabeth Henie Madslien, Siri Laura Feruglio and Martin Sirengo. Their work appears in journals such as Influenza and Other Respiratory Viruses, PLoS Computational Biology, Journal of the Royal Statistical Society Series A (Statistics in Society), International Journal of Medical Informatics 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.