Grant Brown
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 6
-
- Substance Abuse Treatment and Outcomes 4
- Respiratory viral infections research 3
-
- Viral Infections and Vectors 3
-
- Research on Leishmaniasis Studies 4
-
- Homelessness and Social Issues 4
-
- Infection Control and Ventilation 3
-
- Statistical Methods and Bayesian Inference 3
- Co-authors
- Jacob OlesonPaul A. GilbertRyan W. McCreerySarah E. ZemoreNina MuliaGeorge ProAaron T. PorterJoseph E. Cavanaugh
- Journals
- Biometrics (3 papers)Scientific Reports (2 papers)Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy (2 papers)
- Partner nations
- United StatesBrazilLebanon
In The Last Decade
Grant Brown
32 papers receiving 331 citations
Peers
Comparison fields: 5 of 94
- Modeling and Simulation 36
- Epidemiology 117
- Cognitive Neuroscience 58
- Infectious Diseases 49
- Geriatrics and Gerontology 10
Countries citing papers authored by Grant Brown
This map shows the geographic impact of Grant Brown'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 Grant Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grant Brown more than expected).
Fields of papers citing papers by Grant Brown
This network shows the impact of papers produced by Grant Brown. 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 Grant Brown. The network helps show where Grant Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Grant Brown, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 1 | |
| 15 | 2021 | 2 | |
| 16 | 2021 | 19 | |
| 17 | 2021 | 17 | |
| 18 | 2020 | 8 | |
| 19 | 2017 | 17 | |
| 20 | Working Group "A" Report: Long-Term Solar Activity Predictions | 1986 | 5 |
About Grant Brown
Grant Brown is a scholar working on Modeling and Simulation, General Dentistry, Infectious Diseases, Geriatrics and Gerontology and Developmental Biology, having authored 41 papers that have together received 337 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Research on Leishmaniasis Studies (4 papers), Homelessness and Social Issues (4 papers), Substance Abuse Treatment and Outcomes (4 papers), Viral Infections and Vectors (3 papers), Infection Control and Ventilation (3 papers), Statistical Methods and Bayesian Inference (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Modeling and Simulation (36 citations), Epidemiology (117 citations), Cognitive Neuroscience (58 citations), Infectious Diseases (49 citations) and Geriatrics and Gerontology (10 citations). Grant Brown has collaborated with scholars based in United States, Brazil and Lebanon. Frequent co-authors include Jacob Oleson, Paul A. Gilbert, Ryan W. McCreery, Sarah E. Zemore, Nina Mulia, George Pro, Aaron T. Porter, Joseph E. Cavanaugh, Matthew W. Nonnenmann and Bob McMurray. Their work appears in journals such as Biometrics, Scientific Reports, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy, Alcoholism Clinical and Experimental Research and Spatial and Spatio-temporal Epidemiology.
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.