Jon Parker

1.4k total citations
19 papers, 945 citations indexed

About

Jon Parker is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Epidemiology. According to data from OpenAlex, Jon Parker has authored 19 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 5 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in Jon Parker's work include COVID-19 epidemiological studies (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers) and Viral Infections and Outbreaks Research (3 papers). Jon Parker is often cited by papers focused on COVID-19 epidemiological studies (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers) and Viral Infections and Outbreaks Research (3 papers). Jon Parker collaborates with scholars based in United States and United Kingdom. Jon Parker's co-authors include Joshua M. Epstein, Ross A. Hammond, Derek A. T. Cummings, Shubha Chakravarty, Robert L. Axtell, Miles T. Parker, Jeffrey Dean, Alan C. Swedlund, George J. Gumerman and Donald S. Burke and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Jon Parker

18 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon Parker United States 11 337 196 160 148 139 19 945
Benyun Shi China 16 193 0.6× 113 0.6× 99 0.6× 160 1.1× 79 0.6× 74 807
Kenth Engø‐Monsen Norway 18 460 1.4× 247 1.3× 299 1.9× 287 1.9× 154 1.1× 51 1.5k
Alberto Aleta Spain 16 755 2.2× 142 0.7× 255 1.6× 134 0.9× 218 1.6× 34 1.2k
Jiangzhuo Chen United States 18 490 1.5× 63 0.3× 321 2.0× 82 0.6× 176 1.3× 69 1.1k
Nicholas Geard Australia 17 195 0.6× 111 0.6× 172 1.1× 121 0.8× 40 0.3× 87 884
Samarth Swarup United States 16 170 0.5× 239 1.2× 129 0.8× 48 0.3× 157 1.1× 89 976
A. G. McKendrick United Kingdom 6 615 1.8× 79 0.4× 132 0.8× 371 2.5× 184 1.3× 6 1.0k
Laurent Hébert‐Dufresne United States 21 615 1.8× 281 1.4× 150 0.9× 302 2.0× 719 5.2× 87 1.7k
Srinivasan Venkatramanan United States 13 846 2.5× 82 0.4× 248 1.6× 140 0.9× 102 0.7× 46 1.4k
Erik Wetter Sweden 14 284 0.8× 259 1.3× 292 1.8× 73 0.5× 46 0.3× 17 1.4k

Countries citing papers authored by Jon Parker

Since Specialization
Citations

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

Fields of papers citing papers by Jon Parker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Parker

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

All Works

19 of 19 papers shown
1.
Parker, Jon, Andrew Yates, Nazli Goharian, & Ophir Frieder. (2015). Health-related hypothesis generation using social media data. Social Network Analysis and Mining. 5(1). 10 indexed citations
2.
Yates, Andrew, Jon Parker, Nazli Goharian, & Ophir Frieder. (2014). A Framework for Public Health Surveillance. Language Resources and Evaluation. 475–482. 1 indexed citations
3.
Epstein, Joshua M., Lauren Sauer, Erez Hatna, et al.. (2014). Infectious disease: Mobilizing Ebola survivors to curb the epidemic. Nature. 516(7531). 323–325. 10 indexed citations
4.
Lee, Bruce Y., S. Levent Yilmaz, Kim F. Wong, et al.. (2013). Modeling the regional spread and control of vancomycin-resistant enterococci. American Journal of Infection Control. 41(8). 668–673. 30 indexed citations
5.
Parker, Jon, Ophir Frieder, & Gideon Frieder. (2013). Robust binarization of degraded document images using heuristics. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9021. 90210U–90210U. 2 indexed citations
6.
Parker, Jon, Ophir Frieder, & Gideon Frieder. (2013). Automatic Enhancement and Binarization of Degraded Document Images. 210–214. 4 indexed citations
7.
Parker, Jon, et al.. (2013). A framework for detecting public health trends with Twitter. 556–563. 45 indexed citations
8.
Parker, Jon, Andrew Yates, Nazli Goharian, & Wai Gen Yee. (2012). Efficient estimation of aspect weights. 1057–1058. 3 indexed citations
9.
Lee, Bruce Y., Sarah M. McGlone, Kim F. Wong, et al.. (2011). Modeling the Spread of Methicillin-Resistant Staphylococcus aureus (MRSA) Outbreaks throughout the Hospitals in Orange County, California. Infection Control and Hospital Epidemiology. 32(6). 562–572. 57 indexed citations
10.
Parker, Jon & Joshua M. Epstein. (2011). A Distributed Platform for Global-Scale Agent-Based Models of Disease Transmission. ACM Transactions on Modeling and Computer Simulation. 22(1). 1–25. 108 indexed citations
11.
Epstein, Joshua M., Jon Parker, Derek A. T. Cummings, & Ross A. Hammond. (2008). Coupled Contagion Dynamics of Fear and Disease: Mathematical and Computational Explorations. PLoS ONE. 3(12). e3955–e3955. 254 indexed citations
12.
Parker, Jon. (2007). A flexible, large-scale, distributed agent based epidemic model. Winter Simulation Conference. 1543–1547. 21 indexed citations
13.
Epstein, Joshua M., Jon Parker, Derek A. T. Cummings, & Ross A. Hammond. (2007). Coupled Contagion Dynamics of Fear and Disease: Mathematical and Computational Explorations. SSRN Electronic Journal. 22 indexed citations
14.
Parker, Jon. (2007). A flexible, large-scale, distributed agent based epidemic model. 2007 Winter Simulation Conference. 1543–1547. 23 indexed citations
15.
Burke, Donald S., Joshua M. Epstein, Derek A. T. Cummings, et al.. (2006). Individual‐based Computational Modeling of Smallpox Epidemic Control Strategies. Academic Emergency Medicine. 13(11). 1142–1149. 88 indexed citations
16.
Burke, Donald S., Joshua M. Epstein, Derek A. T. Cummings, et al.. (2006). Individual-based Computational Modeling of Smallpox Epidemic Control Strategies. Academic Emergency Medicine. 13(11). 1142–1149. 38 indexed citations
17.
Axtell, Robert L., Joshua M. Epstein, Jeffrey Dean, et al.. (2002). Population growth and collapse in a multiagent model of the Kayenta Anasazi in Long House Valley. Proceedings of the National Academy of Sciences. 99(suppl_3). 7275–7279. 226 indexed citations
18.
Parker, Jon, David R. Dance, D. Huw Davies, et al.. (1993). <title>Classification of ductal carcinoma in-situ by image analysis of calcifications from mammograms</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1905. 832–840. 3 indexed citations
19.

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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