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 Biology Tumor Growth 2
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- Legionella and Acanthamoeba research 1
- Co-authors
- Isaac KlapperMark PernarowskiV. HutsonKonstantin MischaikowBarbara SzomolayPhilip S. StewartJohn LundPaul Sturman
- Journals
- SIAM Journal on Applied Mathematics (2 papers)Journal of Mathematical Biology (2 papers)Biotechnology and Bioengineering (1 paper)SIAM Journal on Mathematical Analysis (1 paper)SIAM Review (1 paper)
- Partner nations
- United StatesCyprusUnited Kingdom
In The Last Decade
Jack D. Dockery
13 papers receiving 610 citations
Peers
Comparison fields: 5 of 104
- Modeling and Simulation 151
- Public Health, Environmental and Occupational Health 310
- Genetics 283
- 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-authorship network
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 | 2022 | 0 | |
| 2 | 2014 | 2 | |
| 3 | 2011 | 5 | |
| 4 | 2010 | 4 | |
| 5 | 2010 | 148 | |
| 6 | 2009 | 9 | |
| 7 | 2005 | 104 | |
| 8 | 1998 | 8 | |
| 9 | 1998 | 325 | |
| 10 | 1997 | 32 | |
| 11 | 1994 | 2 | |
| 12 | 1993 | 19 | |
| 13 | 1992 | 6 | |
| 14 | 1992 | 8 |
About Jack D. Dockery
Jack D. Dockery is a scholar working on Modeling and Simulation, Endocrinology, Genetics, Public Health, Environmental and Occupational Health and Numerical Analysis, having authored 14 papers that have together received 672 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Bacterial biofilms and quorum sensing (2 papers), Mathematical Biology Tumor Growth (2 papers), Evolutionary Game Theory and Cooperation (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Legionella and Acanthamoeba research (1 paper). The work is most often cited by research in Modeling and Simulation (151 citations), Public Health, Environmental and Occupational Health (310 citations), Genetics (283 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, Mark Pernarowski, V. Hutson, Konstantin Mischaikow, Barbara Szomolay, Philip S. Stewart, John Lund, Paul Sturman, Warren L. Jones and Curtis R. Vogel. Their work appears in journals such as SIAM Journal on Applied Mathematics, Journal of Mathematical Biology, Biotechnology and Bioengineering, SIAM Journal on Mathematical Analysis and SIAM Review.
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.