Dave Osthus
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Epidemiology top 10%
- Data-Driven Disease Surveillance
- Influenza Virus Research Studies
Papers in
- Epidemiology 15
- Data-Driven Disease Surveillance 13
- Influenza Virus Research Studies 10
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- COVID-19 epidemiological studies 9
- Co-authors
- Sara Y. Del Valle (9 shared papers)Reid Priedhorsky (5 shared papers)Kyle S. Hickmann (2 shared papers)Petruţa C. Caragea (2 shared papers)Dave Higdon (1 shared paper)Nicholas G Reich (3 shared papers)Evan L Ray (2 shared papers)Teresa K. Yamana (2 shared papers)
- Journals
- PLoS Computational Biology (7 papers)The Astrophysical Journal (3 papers)SIAM/ASA Journal on Uncertainty Quantification (2 papers)Applied Stochastic Models in Business and Industry (1 paper)International Journal for Numerical and Analytical Methods in Geomechanics (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Dave Osthus
29 papers receiving 668 citations
Peers
Comparison fields: 5 of 94
- Modeling and Simulation 340
- Epidemiology 277
- Infectious Diseases 81
- Public Health, Environmental and Occupational Health 82
- Management Science and Operations Research 34
Countries citing papers authored by Dave Osthus
This map shows the geographic impact of Dave Osthus'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 Dave Osthus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave Osthus more than expected).
Fields of papers citing papers by Dave Osthus
This network shows the impact of papers produced by Dave Osthus. 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 Dave Osthus. The network helps show where Dave Osthus may publish in the future.
Co-authors
The 25 scholars most cited alongside Dave Osthus, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 156 | |
| 2 | 2019 | 102 | |
| 3 | 2017 | 96 | |
| 4 | 2016 | 60 | |
| 5 | 2018 | 39 | |
| 6 | 2018 | 30 | |
| 7 | 2017 | 24 | |
| 8 | 2019 | 20 | |
| 9 | 2018 | 17 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 13 | |
| 12 | 2014 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2019 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2022 | 9 | |
| 19 | 2022 | 7 | |
| 20 | 2022 | 7 |
About Dave Osthus
Dave Osthus is a scholar working on Epidemiology, Modeling and Simulation, Astronomy and Astrophysics, Artificial Intelligence and Statistics and Probability, having authored 34 papers that have together received 690 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (13 papers), Influenza Virus Research Studies (10 papers), COVID-19 epidemiological studies (9 papers), Solar and Space Plasma Dynamics (5 papers), Atmospheric Ozone and Climate (3 papers), Ionosphere and magnetosphere dynamics (3 papers), Structural Response to Dynamic Loads (2 papers) and Climate variability and models (2 papers). The work is most often cited by research in Modeling and Simulation (340 citations), Epidemiology (277 citations), Infectious Diseases (81 citations), Public Health, Environmental and Occupational Health (82 citations) and Management Science and Operations Research (34 citations). Dave Osthus has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Sara Y. Del Valle, Reid Priedhorsky, Kyle S. Hickmann, Petruţa C. Caragea, Dave Higdon, Nicholas G Reich, Evan L Ray, Teresa K. Yamana, Roni Rosenfeld and Abhinav Tushar. Their work appears in journals such as PLoS Computational Biology, The Astrophysical Journal, SIAM/ASA Journal on Uncertainty Quantification, Applied Stochastic Models in Business and Industry and International Journal for Numerical and Analytical Methods in Geomechanics.
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.