Jennifer M. Olsen
- Epidemiology top 10%
- Sociology and Political Science top 10%
- Modeling and Simulation top 2%
- Public Health, Environmental and Occupational Health
- Health top 10%
- Co-authors
- Mark S. SmolinskiAdam W. CrawleyCourtney D. CorleyEric H. Y. LauKatie J. SudaTera L ReynoldsMika ShigematsuMike Conway
- Topics
- Data-Driven Disease Surveillance (12 papers)Viral Infections and Outbreaks Research (6 papers)Zoonotic diseases and public health (5 papers)
- Partner nations
- United StatesTanzaniaAustralia
In The Last Decade
Jennifer M. Olsen
18 papers receiving 619 citations
Peers
Comparison fields: 5 of 105
- Epidemiology 306
- Sociology and Political Science 157
- Modeling and Simulation 127
- Public Health, Environmental and Occupational Health 127
- Health 103
Countries citing papers authored by Jennifer M. Olsen
This map shows the geographic impact of Jennifer M. Olsen'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 Jennifer M. Olsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer M. Olsen more than expected).
Fields of papers citing papers by Jennifer M. Olsen
This network shows the impact of papers produced by Jennifer M. Olsen. 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 Jennifer M. Olsen. The network helps show where Jennifer M. Olsen may publish in the future.
Co-authorship network of co-authors of Jennifer M. Olsen
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer M. Olsen. A scholar is included among the top collaborators of Jennifer M. Olsen 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 Jennifer M. Olsen. Jennifer M. Olsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 26 | |
| 6 | 5 | |
| 7 | 78 | |
| 8 | 27 | |
| 9 | 67 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 233 | |
| 15 | 133 | |
| 16 | 36 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 12 | |
| 20 | Infodemiology to improve public health situational awareness: An investigation of 2010 pertussis outbreaks in California, Michigan and Ohio | 2 |
About Jennifer M. Olsen
Jennifer M. Olsen is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases, having authored 20 papers that have together received 647 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (12 papers), Viral Infections and Outbreaks Research (6 papers) and Zoonotic diseases and public health (5 papers). The work is most often cited by research in Modeling and Simulation (127 citations), Health (103 citations) and Epidemiology (306 citations). Jennifer M. Olsen has collaborated with scholars based in United States, Tanzania and Australia. Frequent co-authors include Mark S. Smolinski, Adam W. Crawley, Courtney D. Corley, Eric H. Y. Lau, Katie J. Suda, Tera L Reynolds, Mika Shigematsu, Mike Conway, Lauren Charles and Mark Cameron. Their work appears in journals such as PLoS ONE, American Journal of Public Health and Annual Review of Phytopathology.
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.