Jon Parker
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Data-Driven Disease Surveillance 3
- Virology and Viral Diseases 2
-
- Mathematical and Theoretical Epidemiology and Ecology Models 4
- Co-authors
- Joshua M. Epstein (9 shared papers)Ross A. Hammond (3 shared papers)Derek A. T. Cummings (4 shared papers)Shubha Chakravarty (3 shared papers)Jeffrey Dean (1 shared paper)Alan C. Swedlund (1 shared paper)Robert L. Axtell (1 shared paper)George J. Gumerman (1 shared paper)
- Journals
- Academic Emergency Medicine (2 papers)Nature (1 paper)American Journal of Infection Control (1 paper)PLoS ONE (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jon Parker
18 papers receiving 907 citations
Peers
Comparison fields: 5 of 130
- Modeling and Simulation 313
- Statistical and Nonlinear Physics 140
- Applied Microbiology and Biotechnology 16
- Management Science and Operations Research 90
- Transportation 42
Countries citing papers authored by Jon Parker
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
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-authors
The 25 scholars most cited alongside Jon Parker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 260 | |
| 2 | 2002 | 231 | |
| 3 | 2011 | 109 | |
| 4 | 2006 | 88 | |
| 5 | 2011 | 58 | |
| 6 | 2013 | 45 | |
| 7 | 2006 | 38 | |
| 8 | 2013 | 31 | |
| 9 | 2007 | 23 | |
| 10 | 2007 | 22 | |
| 11 | 2007 | 21 | |
| 12 | 2014 | 10 | |
| 13 | 2015 | 10 | |
| 14 | 2013 | 4 | |
| 15 | 1993 | 3 | |
| 16 | 2012 | 3 | |
| 17 | 2013 | 2 | |
| 18 | 2014 | 1 | |
| 19 | 1992 | 0 |
About Jon Parker
Jon Parker is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases, Modeling and Simulation and Molecular Biology, having authored 19 papers that have together received 959 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Data-Driven Disease Surveillance (3 papers), Viral Infections and Outbreaks Research (3 papers), Complex Network Analysis Techniques (3 papers), Virology and Viral Diseases (2 papers), Handwritten Text Recognition Techniques (2 papers) and Misinformation and Its Impacts (2 papers). The work is most often cited by research in Modeling and Simulation (313 citations), Statistical and Nonlinear Physics (140 citations), Applied Microbiology and Biotechnology (16 citations), Management Science and Operations Research (90 citations) and Transportation (42 citations). Jon Parker has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Joshua M. Epstein, Ross A. Hammond, Derek A. T. Cummings, Shubha Chakravarty, Jeffrey Dean, Alan C. Swedlund, Robert L. Axtell, George J. Gumerman, Miles T. Parker and Donald S. Burke. Their work appears in journals such as Academic Emergency Medicine, Nature, American Journal of Infection Control, PLoS ONE and Proceedings of the National Academy of Sciences.
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.