Logan Brooks
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Epidemiology top 10%
- Data-Driven Disease Surveillance
- Influenza Virus Research Studies
Papers in
-
- Data-Driven Disease Surveillance 6
- Influenza Virus Research Studies 5
-
- COVID-19 epidemiological studies 7
- Co-authors
- Roni Rosenfeld (6 shared papers)Ryan J. Tibshirani (5 shared papers)David Farrow (4 shared papers)Sangwon Hyun (4 shared papers)Matthew Biggerstaff (4 shared papers)Michael A. Johansson (4 shared papers)Sasikiran Kandula (3 shared papers)Jeffrey Shaman (3 shared papers)
- Journals
- PLoS Computational Biology (4 papers)International Journal of Forecasting (1 paper)Ophthalmology (1 paper)Cancers (1 paper)Journal of Equine Veterinary Science (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Logan Brooks
12 papers receiving 542 citations
Peers
Comparison fields: 5 of 82
- Modeling and Simulation 314
- Epidemiology 296
- Infectious Diseases 60
- General Decision Sciences 6
- Management Science and Operations Research 37
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 | 2019 | 154 | |
| 2 | 2019 | 102 | |
| 3 | 2015 | 83 | |
| 4 | 2018 | 62 | |
| 5 | 2017 | 39 | |
| 6 | 2018 | 39 | |
| 7 | 2022 | 27 | |
| 8 | 2023 | 25 | |
| 9 | 2022 | 14 | |
| 10 | 1996 | 5 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 2 |
About Logan Brooks
Logan Brooks is a scholar working on Epidemiology, Modeling and Simulation, Immunology, Infectious Diseases and Molecular Biology, having authored 12 papers that have together received 554 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), Data-Driven Disease Surveillance (6 papers), Influenza Virus Research Studies (5 papers), IL-33, ST2, and ILC Pathways (2 papers), Climate variability and models (1 paper), Retinal Diseases and Treatments (1 paper), Forecasting Techniques and Applications (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Modeling and Simulation (314 citations), Epidemiology (296 citations), Infectious Diseases (60 citations), General Decision Sciences (6 citations) and Management Science and Operations Research (37 citations). Logan Brooks has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Roni Rosenfeld, Ryan J. Tibshirani, David Farrow, Sangwon Hyun, Matthew Biggerstaff, Michael A. Johansson, Sasikiran Kandula, Jeffrey Shaman, Craig McGowan and Evan L Ray. Their work appears in journals such as PLoS Computational Biology, International Journal of Forecasting, Ophthalmology, Cancers and Journal of Equine Veterinary Science.
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.