Nicholas Generous

1.1k total citations
26 papers, 536 citations indexed

About

Nicholas Generous is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Modeling and Simulation. According to data from OpenAlex, Nicholas Generous has authored 26 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 8 papers in Public Health, Environmental and Occupational Health and 7 papers in Modeling and Simulation. Recurrent topics in Nicholas Generous's work include Data-Driven Disease Surveillance (15 papers), COVID-19 epidemiological studies (7 papers) and Zoonotic diseases and public health (5 papers). Nicholas Generous is often cited by papers focused on Data-Driven Disease Surveillance (15 papers), COVID-19 epidemiological studies (7 papers) and Zoonotic diseases and public health (5 papers). Nicholas Generous collaborates with scholars based in United States, Cyprus and Slovakia. Nicholas Generous's co-authors include Reid Priedhorsky, Geoffrey Fairchild, Alina Deshpande, Sara Y. Del Valle, James M. Hyman, Kyle S. Hickmann, Ashlynn R. Daughton, Dave Osthus, Kelly R. Moran and Nileena Velappan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Nicholas Generous

26 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Generous United States 13 285 180 99 71 70 26 536
Geoffrey Fairchild United States 12 305 1.1× 189 1.1× 156 1.6× 104 1.5× 125 1.8× 29 681
Ellsworth M. Campbell United States 12 327 1.1× 132 0.7× 81 0.8× 247 3.5× 109 1.6× 19 715
Ashlynn R. Daughton United States 12 120 0.4× 69 0.4× 44 0.4× 42 0.6× 129 1.8× 27 419
Natasha Markuzon United States 12 77 0.3× 109 0.6× 134 1.4× 127 1.8× 96 1.4× 21 441
Fengchen Liu United States 12 128 0.4× 85 0.5× 57 0.6× 57 0.8× 67 1.0× 35 377
Shashank Khandelwal United States 4 336 1.2× 160 0.9× 83 0.8× 45 0.6× 292 4.2× 5 799
Todd Bodnar United States 6 204 0.7× 84 0.5× 55 0.6× 30 0.4× 122 1.7× 10 435
Mikaela Keller United States 9 265 0.9× 117 0.7× 177 1.8× 110 1.5× 68 1.0× 15 527
Daniela Perrotta United Kingdom 12 210 0.7× 181 1.0× 28 0.3× 32 0.5× 83 1.2× 21 436
Andrew Schroeder United States 8 163 0.6× 247 1.4× 39 0.4× 89 1.3× 61 0.9× 13 521

Countries citing papers authored by Nicholas Generous

Since Specialization
Citations

This map shows the geographic impact of Nicholas Generous'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 Nicholas Generous with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Generous more than expected).

Fields of papers citing papers by Nicholas Generous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas Generous. 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 Nicholas Generous. The network helps show where Nicholas Generous may publish in the future.

Co-authorship network of co-authors of Nicholas Generous

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Generous. A scholar is included among the top collaborators of Nicholas Generous 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 Nicholas Generous. Nicholas Generous is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Klein, Brennan, Nicholas Generous, Matteo Chinazzi, et al.. (2022). Higher education responses to COVID-19 in the United States: Evidence for the impacts of university policy. SHILAP Revista de lepidopterología. 1(6). e0000065–e0000065. 12 indexed citations
2.
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
3.
Romero-Álvarez, Daniel, Nidhi Parikh, Dave Osthus, et al.. (2020). Google Health Trends performance reflecting dengue incidence for the Brazilian states. BMC Infectious Diseases. 20(1). 252–252. 12 indexed citations
4.
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
5.
Hraber, Peter, Paul E. O’Maille, Andrew Silberfarb, et al.. (2019). Resources to Discover and Use Short Linear Motifs in Viral Proteins. Trends in biotechnology. 38(1). 113–127. 23 indexed citations
6.
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
7.
Gans, Jason, Nicholas Generous, Corey Hudson, et al.. (2019). Defending Our Public Biological Databases as a Global Critical Infrastructure. Frontiers in Bioengineering and Biotechnology. 7. 58–58. 8 indexed citations
8.
Fairchild, Geoffrey, Nicholas Generous, Ashlynn R. Daughton, et al.. (2018). Epidemiological Data Challenges: Planning for a More Robust Future Through Data Standards. Frontiers in Public Health. 6. 336–336. 38 indexed citations
9.
Daughton, Ashlynn R., Nicholas Generous, Reid Priedhorsky, & Alina Deshpande. (2017). An approach to and web-based tool for infectious disease outbreak intervention analysis. Scientific Reports. 7(1). 46076–46076. 18 indexed citations
10.
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
11.
Daughton, Ashlynn R., Reid Priedhorsky, Geoffrey Fairchild, et al.. (2017). An extensible framework and database of infectious disease for biosurveillance. BMC Infectious Diseases. 17(1). 549–549. 3 indexed citations
12.
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
13.
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
14.
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
15.
Paul, Michael J., Mark Dredze, David Broniatowski, & Nicholas Generous. (2015). Worldwide Influenza Surveillance through Twitter. 15 indexed citations
16.
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
17.
Margevicius, Kristen, Nicholas Generous, M. G. Brown, et al.. (2014). Advancing a Framework to Enable Characterization and Evaluation of Data Streams Useful for Biosurveillance. PLoS ONE. 9(1). e83730–e83730. 14 indexed citations
18.
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
19.
Generous, Nicholas, Kristen Margevicius, M. G. Brown, et al.. (2014). Selecting Essential Information for Biosurveillance—A Multi-Criteria Decision Analysis. PLoS ONE. 9(1). e86601–e86601. 3 indexed citations
20.
Generous, Nicholas, Alina Deshpande, M. G. Brown, et al.. (2013). Evaluating Biosurveillance System Components using Multi-Criteria Decision Analysis. Online Journal of Public Health Informatics. 5(1). 1 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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