Geoffrey Fairchild
- Epidemiology top 10%
- Modeling and Simulation top 2%
- Public Health, Environmental and Occupational Health top 10%
- Sociology and Political Science top 10%
- Infectious Diseases
- Co-authors
- Sara Y. Del ValleNicholas GenerousReid PriedhorskyAlina DeshpandeKyle S. HickmannJames M. HymanAshlynn R. DaughtonCarrie A. Manore
- Topics
- Data-Driven Disease Surveillance (18 papers)COVID-19 epidemiological studies (9 papers)Misinformation and Its Impacts (6 papers)
- Partner nations
- United StatesCyprusSingapore
In The Last Decade
Geoffrey Fairchild
27 papers receiving 666 citations
Peers
Comparison fields: 5 of 115
- Epidemiology 305
- Modeling and Simulation 189
- Public Health, Environmental and Occupational Health 156
- Sociology and Political Science 125
- Infectious Diseases 104
Countries citing papers authored by Geoffrey Fairchild
This map shows the geographic impact of Geoffrey Fairchild'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 Geoffrey Fairchild with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey Fairchild more than expected).
Fields of papers citing papers by Geoffrey Fairchild
This network shows the impact of papers produced by Geoffrey Fairchild. 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 Geoffrey Fairchild. The network helps show where Geoffrey Fairchild may publish in the future.
Co-authorship network of co-authors of Geoffrey Fairchild
This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Fairchild. A scholar is included among the top collaborators of Geoffrey Fairchild based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geoffrey Fairchild. Geoffrey Fairchild is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 13 | |
| 3 | 7 | |
| 4 | 54 | |
| 5 | 3 | |
| 6 | "Thought I'd Share First": An Analysis of COVID-19 Conspiracy Theories and Misinformation Spread on Twitter | 1 |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 31 | |
| 12 | 38 | |
| 13 | 2 | |
| 14 | 54 | |
| 15 | 11 | |
| 16 | 123 | |
| 17 | 7 | |
| 18 | Detecting epidemics using Wikipedia article views: A demonstration of feasibility with language as location proxy. | 1 |
| 19 | 113 | |
| 20 | 6 |
About Geoffrey Fairchild
Geoffrey Fairchild is a scholar working on Modeling and Simulation, Communication and Epidemiology, having authored 29 papers that have together received 681 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (18 papers), COVID-19 epidemiological studies (9 papers) and Misinformation and Its Impacts (6 papers). The work is most often cited by research in Modeling and Simulation (189 citations), Communication (70 citations) and Epidemiology (305 citations). Geoffrey Fairchild has collaborated with scholars based in United States, Cyprus and Singapore. Frequent co-authors include Sara Y. Del Valle, Nicholas Generous, Reid Priedhorsky, Alina Deshpande, Kyle S. Hickmann, James M. Hyman, Ashlynn R. Daughton, Carrie A. Manore, Amanda Ziemann and Jeanne M. Fair. Their work appears in journals such as PLoS ONE, Stroke and The Journal of Infectious Diseases.
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.