Geoffrey Fairchild

2.3k total citations
29 papers, 681 citations indexed

About

Geoffrey Fairchild is a scholar working on Epidemiology, Modeling and Simulation and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Geoffrey Fairchild has authored 29 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 9 papers in Modeling and Simulation and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Geoffrey Fairchild's work include Data-Driven Disease Surveillance (18 papers), COVID-19 epidemiological studies (9 papers) and Misinformation and Its Impacts (6 papers). Geoffrey Fairchild is often cited by papers focused on Data-Driven Disease Surveillance (18 papers), COVID-19 epidemiological studies (9 papers) and Misinformation and Its Impacts (6 papers). Geoffrey Fairchild collaborates with scholars based in United States, Singapore and Brazil. Geoffrey Fairchild's co-authors include Sara Y. Del Valle, Nicholas Generous, Reid Priedhorsky, Alina Deshpande, James M. Hyman, Kyle S. Hickmann, Ashlynn R. Daughton, Carrie A. Manore, Amanda Ziemann and Jeanne M. Fair and has published in prestigious journals such as PLoS ONE, Stroke and The Journal of Infectious Diseases.

In The Last Decade

Geoffrey Fairchild

27 papers receiving 666 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Geoffrey Fairchild United States	12	305	189	156	125	104	29	681
Nicholas Generous United States	13	285 0.9×	180 1.0×	99 0.6×	70 0.6×	71 0.7×	26	536
Jennifer M. Olsen United States	8	306 1.0×	127 0.7×	127 0.8×	157 1.3×	93 0.9×	20	647
Armin R. Mikler United States	12	180 0.6×	127 0.7×	84 0.5×	126 1.0×	52 0.5×	73	666
Emily H. Chan United States	9	410 1.3×	191 1.0×	271 1.7×	113 0.9×	157 1.5×	11	853
Clark C. Freifeld United States	13	547 1.8×	148 0.8×	424 2.7×	139 1.1×	139 1.3×	16	976
Shashank Khandelwal United States	4	336 1.1×	160 0.8×	83 0.5×	292 2.3×	45 0.4×	5	799
Anis Fuad Indonesia	14	191 0.6×	127 0.7×	133 0.9×	185 1.5×	37 0.4×	55	687
Ellsworth M. Campbell United States	12	327 1.1×	132 0.7×	81 0.5×	109 0.9×	247 2.4×	19	715
Jon Parker United States	11	160 0.5×	337 1.8×	148 0.9×	196 1.6×	127 1.2×	19	945
Todd Bodnar United States	6	204 0.7×	84 0.4×	55 0.4×	122 1.0×	30 0.3×	10	435

Countries citing papers authored by Geoffrey Fairchild

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Germann, Timothy C., Geoffrey Fairchild, Terece L. Turton, et al.. (2022). Assessing K-12 school reopenings under different COVID-19 Spread scenarios – United States, school year 2020/21: A retrospective modeling study. Epidemics. 41. 100632–100632. 5 indexed citations

Castro, Lauren, Nicholas Generous, Wei Luo, et al.. (2021). Using heterogeneous data to identify signatures of dengue outbreaks at fine spatio-temporal scales across Brazil. PLoS neglected tropical diseases. 15(5). e0009392–e0009392. 13 indexed citations

Parikh, Nidhi, et al.. (2021). “Thought I’d Share First” and Other Conspiracy Theory Tweets from the COVID-19 Infodemic: Exploratory Study. JMIR Public Health and Surveillance. 7(4). e26527–e26527. 54 indexed citations

Daughton, Ashlynn R., et al.. (2021). Mining and Validating Social Media Data for COVID-19–Related Human Behaviors Between January and July 2020: Infodemiology Study. Journal of Medical Internet Research. 23(5). e27059–e27059. 7 indexed citations

Parikh, Nidhi, et al.. (2020). Improving Detection of Disease Re-emergence Using a Web-Based Tool (RED Alert): Design and Case Analysis Study. JMIR Public Health and Surveillance. 7(1). e24132–e24132. 3 indexed citations

Parikh, Nidhi, et al.. (2020). "Thought I'd Share First": An Analysis of COVID-19 Conspiracy Theories and Misinformation Spread on Twitter. arXiv (Cornell University). 1 indexed citations

Fairchild, Geoffrey, et al.. (2020). Surveilling Influenza Incidence With Centers for Disease Control and Prevention Web Traffic Data: Demonstration Using a Novel Dataset. Journal of Medical Internet Research. 22(7). e14337–e14337. 5 indexed citations

Daughton, Ashlynn R., et al.. (2019). Development of a Supervised Learning Algorithm for Detection of Potential Disease Reemergence: A Proof of Concept. Health Security. 17(4). 255–267. 1 indexed citations

Velappan, Nileena, Ashlynn R. Daughton, Geoffrey Fairchild, et al.. (2019). Analytics for Investigation of Disease Outbreaks: Web-Based Analytics Facilitating Situational Awareness in Unfolding Disease Outbreaks. JMIR Public Health and Surveillance. 5(1). e12032–e12032. 4 indexed citations

10.

Ziemann, Amanda, Nidhi Parikh, Amir Siraj, et al.. (2019). Understanding polynomial distributed lag models: truncation lag implications for a mosquito-borne disease risk model in Brazil. 93. 101–101. 1 indexed citations

11.

Bartlow, Andrew W., Carrie A. Manore, Chonggang Xu, et al.. (2019). Forecasting Zoonotic Infectious Disease Response to Climate Change: Mosquito Vectors and a Changing Environment. Veterinary Sciences. 6(2). 40–40. 100 indexed citations

12.

Wilson, Alyson G., et al.. (2018). Twitter Geolocation. ACM Transactions on Knowledge Discovery from Data. 12(3). 1–17. 31 indexed citations

13.

Generous, Nicholas, et al.. (2017). Epi Archive: automated data collection of notifiable disease data. Online Journal of Public Health Informatics. 9(1). 2 indexed citations

14.

Moran, Kelly R., Geoffrey Fairchild, Nicholas Generous, et al.. (2016). Epidemic Forecasting is Messier Than Weather Forecasting: The Role of Human Behavior and Internet Data Streams in Epidemic Forecast. The Journal of Infectious Diseases. 214(suppl 4). S404–S408. 54 indexed citations

15.

Margevicius, Kristen, Nicholas Generous, Esteban Abeyta, et al.. (2016). The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance. PLoS ONE. 11(1). e0146600–e0146600. 11 indexed citations

16.

Hickmann, Kyle S., Geoffrey Fairchild, Reid Priedhorsky, et al.. (2015). Forecasting the 2013–2014 Influenza Season Using Wikipedia. PLoS Computational Biology. 11(5). e1004239–e1004239. 123 indexed citations

17.

Ising, Amy, Daniel B. Neill, Mike Conway, et al.. (2015). Cross-Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Asyndromic Surveillance Use Case. Online Journal of Public Health Informatics. 7(3). e228–e228. 7 indexed citations

18.

Generous, Nicholas, Geoffrey Fairchild, Alina Deshpande, Sara Y. Del Valle, & Reid Priedhorsky. (2014). Detecting epidemics using Wikipedia article views: A demonstration of feasibility with language as location proxy.. arXiv (Cornell University). 1 indexed citations

19.

Generous, Nicholas, Geoffrey Fairchild, Alina Deshpande, Sara Y. Del Valle, & Reid Priedhorsky. (2014). Global Disease Monitoring and Forecasting with Wikipedia. PLoS Computational Biology. 10(11). e1003892–e1003892. 113 indexed citations

20.

Fairchild, Geoffrey, Kyle S. Hickmann, Susan M. Mniszewski, Sara Y. Del Valle, & James M. Hyman. (2013). Optimizing human activity patterns using global sensitivity analysis. Computational and Mathematical Organization Theory. 20(4). 394–416. 6 indexed citations

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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