Victoria Knutson
- Infectious Diseases top 10%
- Oncology
- Modeling and Simulation top 2%
- General Health Professions top 10%
- Health, Toxicology and Mutagenesis top 10%
- Co-authors
- Jon WakefieldWilliam MsemburiSerge Aleshin‐GuendelAriel KarlinskySomnath ChatterjiJonathan WakefieldAmanda J. GassettEric A. Hoffman
- Topics
- COVID-19 epidemiological studies (2 papers)COVID-19 and healthcare impacts (2 papers)Air Quality and Health Impacts (1 paper)
- Journals
- NatureAmerican Journal of Respiratory and Critical Care MedicineThe Annals of Applied Statistics
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Victoria Knutson
5 papers receiving 475 citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Infectious Diseases 161
- Oncology 111
- Modeling and Simulation 107
- General Health Professions 96
- Health, Toxicology and Mutagenesis 72
Countries citing papers authored by Victoria Knutson
This map shows the geographic impact of Victoria Knutson'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 Victoria Knutson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria Knutson more than expected).
Fields of papers citing papers by Victoria Knutson
This network shows the impact of papers produced by Victoria Knutson. 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 Victoria Knutson. The network helps show where Victoria Knutson may publish in the future.
Co-authorship network of co-authors of Victoria Knutson
This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Knutson. A scholar is included among the top collaborators of Victoria Knutson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Victoria Knutson. Victoria Knutson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 25 | |
| 4 | The WHO estimates of excess mortality associated with the COVID-19 pandemicbreakdown → | 462 |
| 5 | Changing Teachers, Changing Students: Exploring iPads in Inquiry-Based Learning | 1 |
About Victoria Knutson
Victoria Knutson is a scholar working on Modeling and Simulation, Health, Toxicology and Mutagenesis and Demography, having authored 5 papers that have together received 492 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (2 papers), COVID-19 and healthcare impacts (2 papers) and Air Quality and Health Impacts (1 paper). The work is most often cited by research in Modeling and Simulation (107 citations), Infectious Diseases (161 citations) and Health (63 citations). Victoria Knutson has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Jon Wakefield, William Msemburi, Serge Aleshin‐Guendel, Ariel Karlinsky, Somnath Chatterji, Jonathan Wakefield, Amanda J. Gassett, Eric A. Hoffman, Meng Wang and Lianne Sheppard. Their work appears in journals such as Nature, American Journal of Respiratory and Critical Care Medicine and The Annals of Applied Statistics.
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.