J. Dockery
Impact in
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- Nonlinear Dynamics and Pattern Formation
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- stochastic dynamics and bifurcation
Papers in
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- Nonlinear Dynamics and Pattern Formation 5
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- Mathematical and Theoretical Epidemiology and Ecology Models 6
- Co-authors
- Isaac KlapperJames P. KeenerJohn J. TysonP. GilbertBruce P. AyatiPhilip S. StewartR. T. SantoroV. Protopopescu
- Journals
- SIAM Journal on Applied Mathematics (2 papers)Physica D Nonlinear Phenomena (2 papers)Water Science & Technology (1 paper)Mathematical and Computer Modelling (1 paper)Microbiology (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
J. Dockery
13 papers receiving 621 citations
Peers
Comparison fields: 5 of 91
- Computer Networks and Communications 138
- Statistical and Nonlinear Physics 70
- Modeling and Simulation 26
- Endocrinology 27
- Process Chemistry and Technology 14
Countries citing papers authored by J. Dockery
This map shows the geographic impact of J. 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 J. Dockery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Dockery more than expected).
Fields of papers citing papers by J. Dockery
This network shows the impact of papers produced by J. 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 J. Dockery. The network helps show where J. Dockery may publish in the future.
Co-authorship network
The 17 scholars most cited alongside J. 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 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2007 | 43 | |
| 4 | 2006 | 70 | |
| 5 | 2005 | 19 | |
| 6 | 2002 | 176 | |
| 7 | 2001 | 12 | |
| 8 | 2001 | 183 | |
| 9 | 2001 | 18 | |
| 10 | 1999 | 5 | |
| 11 | 1989 | 20 | |
| 12 | 1989 | 40 | |
| 13 | 1988 | 80 |
About J. Dockery
J. Dockery is a scholar working on Computer Networks and Communications, Public Health, Environmental and Occupational Health, Molecular Medicine, Computational Mechanics and Surfaces, Coatings and Films, having authored 13 papers that have together received 670 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Bacterial biofilms and quorum sensing (3 papers), Bacterial Genetics and Biotechnology (2 papers), Adhesion, Friction, and Surface Interactions (2 papers), Slime Mold and Myxomycetes Research (2 papers), Fluid Dynamics and Thin Films (2 papers) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Computer Networks and Communications (138 citations), Statistical and Nonlinear Physics (70 citations), Modeling and Simulation (26 citations), Endocrinology (27 citations) and Process Chemistry and Technology (14 citations). J. Dockery has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Isaac Klapper, James P. Keener, John J. Tyson, P. Gilbert, Bruce P. Ayati, Philip S. Stewart, R. T. Santoro, V. Protopopescu, Mark Pernarowski and Scott Brown. Their work appears in journals such as SIAM Journal on Applied Mathematics, Physica D Nonlinear Phenomena, Water Science & Technology, Mathematical and Computer Modelling and Microbiology.
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.