Peter van Heijster
- Computer Networks and Communications top 5%
- Public Health, Environmental and Occupational Health top 10%
- Statistical and Nonlinear Physics top 5%
- Modeling and Simulation top 5%
- Genetics
- Co-authors
- Arjen DoelmanTasso J. KaperBjörn SandstedeYasumasa NishiuraMartin WechselbergerGraeme J. PettetTakashi TeramotoKeith Promislow
- Topics
- Nonlinear Dynamics and Pattern Formation (15 papers)Mathematical Biology Tumor Growth (10 papers)Mathematical and Theoretical Epidemiology and Ecology Models (9 papers)
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsComputer Networks and Communications
- Partner nations
- AustraliaNetherlandsUnited States
In The Last Decade
Peter van Heijster
33 papers receiving 357 citations
Peers
Comparison fields: 5 of 55
- Computer Networks and Communications 204
- Public Health, Environmental and Occupational Health 146
- Statistical and Nonlinear Physics 137
- Modeling and Simulation 99
- Genetics 51
Countries citing papers authored by Peter van Heijster
This map shows the geographic impact of Peter van Heijster'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 Peter van Heijster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter van Heijster more than expected).
Fields of papers citing papers by Peter van Heijster
This network shows the impact of papers produced by Peter van Heijster. 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 Peter van Heijster. The network helps show where Peter van Heijster may publish in the future.
Co-authorship network of co-authors of Peter van Heijster
This figure shows the co-authorship network connecting the top 25 collaborators of Peter van Heijster. A scholar is included among the top collaborators of Peter van Heijster 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 Peter van Heijster. Peter van Heijster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 21 | |
| 14 | 15 | |
| 15 | 12 | |
| 16 | 14 | |
| 17 | 4 | |
| 18 | 21 | |
| 19 | Coexistence of stable spots and fronts in a three-component FitzHugh-Nagumo system | 5 |
| 20 | 40 |
About Peter van Heijster
Peter van Heijster is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 34 papers that have together received 379 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (15 papers), Mathematical Biology Tumor Growth (10 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (9 papers). The work is most often cited by research in Modeling and Simulation (99 citations), Statistical and Nonlinear Physics (137 citations) and Computer Networks and Communications (204 citations). Peter van Heijster has collaborated with scholars based in Australia, Netherlands and United States. Frequent co-authors include Arjen Doelman, Tasso J. Kaper, Björn Sandstede, Yasumasa Nishiura, Martin Wechselberger, Graeme J. Pettet, Takashi Teramoto, Keith Promislow, Yifei Li and José D. Flores. Their work appears in journals such as Journal of Theoretical Biology, Ecological Modelling and Physica D Nonlinear Phenomena.
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.