Benjamin M. Althouse
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Infectious Diseases top 2%
- Viral Infections and Vectors
Papers in
-
- COVID-19 epidemiological studies 25
- Health 16
- Vaccine Coverage and Hesitancy 11
- Co-authors
- John W. AyersSamuel V. ScarpinoMark DredzeLaurent Hébert‐DufresneDerek A. T. CummingsEric C. LeasYih Yng NgThéodore C. Bergstrom
- Journals
- American Journal of Preventive Medicine (6 papers)PLoS neglected tropical diseases (5 papers)Vaccine (4 papers)JAMA Internal Medicine (4 papers)PLoS ONE (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Benjamin M. Althouse
84 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 170
- Modeling and Simulation 697
- Infectious Diseases 850
- Health 332
- Microbiology 244
- Epidemiology 1.2k
Countries citing papers authored by Benjamin M. Althouse
This map shows the geographic impact of Benjamin M. Althouse'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 Benjamin M. Althouse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin M. Althouse more than expected).
Fields of papers citing papers by Benjamin M. Althouse
This network shows the impact of papers produced by Benjamin M. Althouse. 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 Benjamin M. Althouse. The network helps show where Benjamin M. Althouse may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benjamin M. Althouse, 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 | 2024 | 10 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 22 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 98 | |
| 9 | 2020 | 42 | |
| 10 | 2020 | 49 | |
| 11 | Beyond $R_0$: the importance of contact tracing when predicting epidemics | 2020 | 4 |
| 12 | 2020 | 22 | |
| 13 | 2020 | 8 | |
| 14 | 2018 | 7 | |
| 15 | 2018 | 32 | |
| 16 | 2018 | 105 | |
| 17 | 2016 | 49 | |
| 18 | 2014 | 45 | |
| 19 | 2012 | 31 | |
| 20 | 2009 | 45 |
About Benjamin M. Althouse
Benjamin M. Althouse is a scholar working on Modeling and Simulation, Health, Infectious Diseases, Microbiology and Epidemiology, having authored 86 papers that have together received 3.8k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (25 papers), Data-Driven Disease Surveillance (22 papers), Mosquito-borne diseases and control (13 papers), Influenza Virus Research Studies (11 papers), Vaccine Coverage and Hesitancy (11 papers), Smoking Behavior and Cessation (10 papers), Viral Infections and Vectors (10 papers) and Pneumonia and Respiratory Infections (10 papers). The work is most often cited by research in Modeling and Simulation (697 citations), Infectious Diseases (850 citations), Health (332 citations), Microbiology (244 citations) and Epidemiology (1.2k citations). Benjamin M. Althouse has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include John W. Ayers, Samuel V. Scarpino, Mark Dredze, Laurent Hébert‐Dufresne, Derek A. T. Cummings, Eric C. Leas, Yih Yng Ng, Théodore C. Bergstrom, Carl T. Bergstrom and Jon-Patrick Allem. Their work appears in journals such as American Journal of Preventive Medicine, PLoS neglected tropical diseases, Vaccine, JAMA Internal Medicine 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.