Jack D. Dockery
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
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- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
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- Mathematical and Theoretical Epidemiology and Ecology Models 6
- Genetics 6
- Evolution and Genetic Dynamics 6
- Co-authors
- Isaac Klapper (3 shared papers)Konstantin Mischaikow (1 shared paper)V. Hutson (1 shared paper)Mark Pernarowski (1 shared paper)Philip S. Stewart (1 shared paper)Barbara Szomolay (1 shared paper)John Lund (1 shared paper)Curtis R. Vogel (1 shared paper)
- Journals
- SIAM Journal on Applied Mathematics (2 papers)Journal of Mathematical Biology (2 papers)Journal of Dynamics and Differential Equations (1 paper)Biotechnology and Bioengineering (1 paper)Applied Mathematics and Computation (1 paper)
- Partner nations
- United StatesCyprusUnited Kingdom
In The Last Decade
Jack D. Dockery
13 papers receiving 617 citations
Peers
Comparison fields: 5 of 103
- Modeling and Simulation 152
- Public Health, Environmental and Occupational Health 314
- Genetics 289
- Numerical Analysis 26
- Endocrinology 20
Countries citing papers authored by Jack D. Dockery
This map shows the geographic impact of Jack D. Dockery'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 Jack D. Dockery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack D. Dockery more than expected).
Fields of papers citing papers by Jack D. Dockery
This network shows the impact of papers produced by Jack D. Dockery. 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 Jack D. Dockery. The network helps show where Jack D. Dockery may publish in the future.
Co-authors
The 19 scholars most cited alongside Jack D. Dockery, 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 | 1998 | 328 | |
| 2 | 2010 | 151 | |
| 3 | 2005 | 104 | |
| 4 | 1997 | 33 | |
| 5 | 1993 | 19 | |
| 6 | 2009 | 9 | |
| 7 | 1992 | 8 | |
| 8 | 1998 | 8 | |
| 9 | 1992 | 6 | |
| 10 | 2011 | 5 | |
| 11 | 2010 | 4 | |
| 12 | 2014 | 2 | |
| 13 | 1994 | 2 | |
| 14 | 2022 | 0 |
About Jack D. Dockery
Jack D. Dockery is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Molecular Biology, Computer Networks and Communications and Modeling and Simulation, having authored 14 papers that have together received 679 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Evolution and Genetic Dynamics (6 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Mathematical Biology Tumor Growth (2 papers), Bacterial biofilms and quorum sensing (2 papers), Evolutionary Game Theory and Cooperation (2 papers), Advanced Physical and Chemical Molecular Interactions (1 paper) and Numerical methods for differential equations (1 paper). The work is most often cited by research in Modeling and Simulation (152 citations), Public Health, Environmental and Occupational Health (314 citations), Genetics (289 citations), Numerical Analysis (26 citations) and Endocrinology (20 citations). Jack D. Dockery has collaborated with scholars based in United States, Cyprus and United Kingdom. Frequent co-authors include Isaac Klapper, Konstantin Mischaikow, V. Hutson, Mark Pernarowski, Philip S. Stewart, Barbara Szomolay, John Lund, Curtis R. Vogel, Warren L. Jones and Paul Sturman. Their work appears in journals such as SIAM Journal on Applied Mathematics, Journal of Mathematical Biology, Journal of Dynamics and Differential Equations, Biotechnology and Bioengineering and Applied Mathematics and Computation.
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.