Logan Brooks
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Epidemiology top 5%
- Data-Driven Disease Surveillance
- Influenza Virus Research Studies
Papers in
-
- COVID-19 epidemiological studies 11
- Epidemiology 11
- Data-Driven Disease Surveillance 10
- Influenza Virus Research Studies 7
- Co-authors
- Roni Rosenfeld (6 shared papers)Ryan J. Tibshirani (5 shared papers)Sangwon Hyun (4 shared papers)David Farrow (4 shared papers)Michael A. Johansson (4 shared papers)Matthew Biggerstaff (4 shared papers)Sasikiran Kandula (3 shared papers)Craig J. McGowan (3 shared papers)
- Journals
- PLoS Computational Biology (4 papers)Proceedings of the National Academy of Sciences (4 papers)Eurosurveillance (1 paper)Ophthalmology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesMartiniqueKenya
In The Last Decade
Logan Brooks
19 papers receiving 1.3k citations
Logan Brooks's Hit Papers
Peers
Comparison fields: 5 of 112
- Modeling and Simulation 675
- Epidemiology 534
- Infectious Diseases 274
- Public Health, Environmental and Occupational Health 313
- Management Science and Operations Research 79
Countries citing papers authored by Logan Brooks
This map shows the geographic impact of Logan Brooks'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 Logan Brooks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Logan Brooks more than expected).
Fields of papers citing papers by Logan Brooks
This network shows the impact of papers produced by Logan Brooks. 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 Logan Brooks. The network helps show where Logan Brooks may publish in the future.
Co-authors
The 25 scholars most cited alongside Logan Brooks, 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 | 2014 | 190 | |
| 2 | Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States Hit paper breakdown → | 2022 | 185 |
| 3 | 2019 | 180 | |
| 4 | 2019 | 144 | |
| 5 | 2019 | 114 | |
| 6 | 2019 | 88 | |
| 7 | 2015 | 87 | |
| 8 | 2018 | 72 | |
| 9 | 2018 | 53 | |
| 10 | 2017 | 46 | |
| 11 | 2021 | 38 | |
| 12 | 2022 | 35 | |
| 13 | 2023 | 35 | |
| 14 | 2022 | 31 | |
| 15 | 2024 | 29 | |
| 16 | 2022 | 15 | |
| 17 | 1996 | 5 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 1 |
About Logan Brooks
Logan Brooks is a scholar working on Modeling and Simulation, Epidemiology, Infectious Diseases, Immunology and Management Science and Operations Research, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (11 papers), Data-Driven Disease Surveillance (10 papers), Influenza Virus Research Studies (7 papers), Viral Infections and Vectors (2 papers), Forecasting Techniques and Applications (2 papers), Mosquito-borne diseases and control (2 papers), Climate variability and models (2 papers) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Modeling and Simulation (675 citations), Epidemiology (534 citations), Infectious Diseases (274 citations), Public Health, Environmental and Occupational Health (313 citations) and Management Science and Operations Research (79 citations). Logan Brooks has collaborated with scholars based in United States, Martinique and Kenya. Frequent co-authors include Roni Rosenfeld, Ryan J. Tibshirani, Sangwon Hyun, David Farrow, Michael A. Johansson, Matthew Biggerstaff, Sasikiran Kandula, Craig J. McGowan, Jeffrey L. Shaman and Reich Ng. Their work appears in journals such as PLoS Computational Biology, Proceedings of the National Academy of Sciences, Eurosurveillance, Ophthalmology and Scientific Reports.
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.