Grant Brown

683 citations
41 papers · 359 · h-index 12

Impact in

Papers in

    • Substance Abuse Treatment and Outcomes 3
    • Respiratory viral infections research 3
    • Viral Infections and Outbreaks Research 3

Grant Brown

34 papers receiving 352 citations

Peers

Grant Brown
Comparison fields: 5 of 91
  • Modeling and Simulation 35
  • Epidemiology 97
  • Cognitive Neuroscience 53
  • Infectious Diseases 44
  • Experimental and Cognitive Psychology 25
Replace Favelle Lamb with:
Favelle Lamb Sweden
Lijun Zhou China
Alessandra Toletone Italy
Renae Fernandez Australia
Kevin B. Spicer United States
Bruno Lambert France
Sarah Beale United Kingdom
Mairead Shaw Canada
Abdulrahman Mohammed Alhowikan Saudi Arabia
Patrícia Peralta Spain
Grant Brown relative to Favelle Lamb Sweden Favelle Lamb's profile →
Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Grant Brown

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Grant Brown Line = papers co-authored together Grant Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201969
2 201532
3 201930
4 201719
5 202119
6 201818
7 201917
8 202117
9 202117
10 201515
11 201815
12 202211
13 201710
14 20208
15 20208
16 20227
17 20246
18
Working Group "A" Report: Long-Term Solar Activity Predictions
19865
19 20215
20 20244

About Grant Brown

Grant Brown is a scholar working on Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Modeling and Simulation and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 359 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Research on Leishmaniasis Studies (4 papers), Infection Control and Ventilation (3 papers), Substance Abuse Treatment and Outcomes (3 papers), Evolution and Genetic Dynamics (3 papers), Viral Infections and Outbreaks Research (3 papers), Respiratory viral infections research (3 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Modeling and Simulation (35 citations), Epidemiology (97 citations), Cognitive Neuroscience (53 citations), Infectious Diseases (44 citations) and Experimental and Cognitive Psychology (25 citations). Grant Brown has collaborated with scholars based in United States, Brazil and Lebanon. Frequent co-authors include Jacob Oleson, Paul A. Gilbert, Nina Mulia, Sarah E. Zemore, Ryan W. McCreery, George Pro, Aaron T. Porter, Matthew W. Nonnenmann, Jessica Hinman and Bob McMurray. Their work appears in journals such as Biometrics, Scientific Reports, Spatial and Spatio-temporal Epidemiology, Journal of Speech Language and Hearing Research and Alcoholism Clinical and Experimental Research.

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.

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