Peter van Heijster

611 total citations
34 papers, 379 citations indexed

About

Peter van Heijster is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Modeling and Simulation. According to data from OpenAlex, Peter van Heijster has authored 34 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 14 papers in Statistical and Nonlinear Physics and 10 papers in Modeling and Simulation. Recurrent topics in Peter van Heijster's 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). Peter van Heijster is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (15 papers), Mathematical Biology Tumor Growth (10 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (9 papers). Peter van Heijster collaborates with scholars based in Australia, Netherlands and United States. Peter van Heijster's 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 and has published in prestigious journals such as Journal of Theoretical Biology, Ecological Modelling and Physica D Nonlinear Phenomena.

In The Last Decade

Peter van Heijster

33 papers receiving 357 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter van Heijster Australia 13 204 146 137 99 51 34 379
G. Gambino Italy 13 298 1.5× 298 2.0× 153 1.1× 159 1.6× 143 2.8× 33 593
Razvan A. Satnoianu United Kingdom 14 357 1.8× 204 1.4× 110 0.8× 72 0.7× 93 1.8× 29 518
Wayne Nagata Canada 12 134 0.7× 113 0.8× 72 0.5× 40 0.4× 74 1.5× 27 296
Matt Holzer United States 9 114 0.6× 110 0.8× 81 0.6× 56 0.6× 59 1.2× 22 249
Maria Carmela Lombardo Italy 15 293 1.4× 341 2.3× 144 1.1× 219 2.2× 152 3.0× 39 792
Nikola Popović United Kingdom 14 323 1.6× 103 0.7× 352 2.6× 38 0.4× 84 1.6× 42 709
E. P. Zemskov Russia 12 251 1.2× 129 0.9× 159 1.2× 48 0.5× 46 0.9× 37 378
Lev Idels Canada 12 120 0.6× 410 2.8× 57 0.4× 179 1.8× 69 1.4× 30 623
Geertje Hek Netherlands 8 119 0.6× 84 0.6× 124 0.9× 34 0.3× 43 0.8× 15 350
Marcus R. Garvie Canada 12 217 1.1× 344 2.4× 45 0.3× 164 1.7× 195 3.8× 22 582

Countries citing papers authored by Peter van Heijster

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Heijster, Peter van, et al.. (2025). Blurring the Busse balloon: Patterns in a stochastic Klausmeier model. Physica D Nonlinear Phenomena. 482. 134863–134863. 2 indexed citations
2.
Heijster, Peter van, et al.. (2025). Random evolutionary dynamics in predator–prey systems yields large, clustered ecosystems. Mathematical Biosciences. 383. 109417–109417.
3.
Heijster, Peter van, et al.. (2024). Stability of asymptotic waves in the Fisher–Stefan equation. Physica D Nonlinear Phenomena. 470. 134383–134383. 1 indexed citations
4.
Heijster, Peter van, et al.. (2023). Waves in a Stochastic Cell Motility Model. Bulletin of Mathematical Biology. 85(8). 70–70. 1 indexed citations
5.
Li, Yifei, Stuart T. Johnston, Pascal R. Buenzli, Peter van Heijster, & Matthew J. Simpson. (2021). Extinction of Bistable Populations is Affected by the Shape of their Initial Spatial Distribution. Bulletin of Mathematical Biology. 84(1). 21–21. 6 indexed citations
6.
Heijster, Peter van, et al.. (2020). (In)stability of Travelling Waves in a Model of Haptotaxis. SIAM Journal on Applied Mathematics. 80(4). 1629–1653. 9 indexed citations
7.
Li, Yifei, et al.. (2020). Travelling wave solutions in a negative nonlinear diffusion–reaction model. Journal of Mathematical Biology. 81(6-7). 1495–1522. 16 indexed citations
8.
Pettet, Graeme J., et al.. (2020). Cholesterol Regulation in Age-Related Macular Degeneration: A Framework for Mathematical Modelling of Drusen Biogenesis. Bulletin of Mathematical Biology. 82(10). 135–135. 3 indexed citations
9.
Heijster, Peter van & Takashi Teramoto. (2020). Pinned pulse solutions in a FitzHugh–Nagumo model with a bump-type heterogeneity. Advanced studies in pure mathematics. 137–150. 2 indexed citations
10.
Heijster, Peter van, et al.. (2019). Unfolding Symmetric Bogdanov–Takens Bifurcations for Front Dynamics in a Reaction–Diffusion System. Journal of Nonlinear Science. 29(6). 2911–2953. 6 indexed citations
11.
Heijster, Peter van, et al.. (2018). Spectral stability of travelling wave solutions in a Keller–Segel model. Applied Numerical Mathematics. 141. 54–61. 2 indexed citations
12.
Heijster, Peter van, Chao-Nien Chen, Yasumasa Nishiura, & Takashi Teramoto. (2018). Pinned Solutions in a Heterogeneous Three-Component FitzHugh–Nagumo Model. Journal of Dynamics and Differential Equations. 31(1). 153–203. 17 indexed citations
13.
Heijster, Peter van, et al.. (2016). Influences of Allee effects in the spreading of malignant tumours. Journal of Theoretical Biology. 394. 77–92. 21 indexed citations
14.
Heijster, Peter van, Chao-Nien Chen, Yasumasa Nishiura, & Takashi Teramoto. (2016). Localized Patterns in a Three-Component FitzHugh–Nagumo Model Revisited Via an Action Functional. Journal of Dynamics and Differential Equations. 30(2). 521–555. 15 indexed citations
15.
Heijster, Peter van, et al.. (2015). Numerical computation of an Evans function for travelling waves. Mathematical Biosciences. 266. 36–51. 12 indexed citations
16.
Doelman, Arjen, et al.. (2014). Butterfly Catastrophe for Fronts in a Three-Component Reaction–Diffusion System. Journal of Nonlinear Science. 25(1). 87–129. 14 indexed citations
17.
Heijster, Peter van, et al.. (2014). A geometric construction of travelling wave solutions to the Keller--Segel model. ANZIAM Journal. 55. 399–399. 4 indexed citations
18.
Heijster, Peter van & Björn Sandstede. (2014). Bifurcations to travelling planar spots in a three-component FitzHugh–Nagumo system. Physica D Nonlinear Phenomena. 275. 19–34. 21 indexed citations
19.
Heijster, Peter van & Björn Sandstede. (2012). Coexistence of stable spots and fronts in a three-component FitzHugh-Nagumo system. QUT ePrints (Queensland University of Technology). 5 indexed citations
20.
Heijster, Peter van, Arjen Doelman, Tasso J. Kaper, & Keith Promislow. (2010). Front Interactions in a Three-Component System. SIAM Journal on Applied Dynamical Systems. 9(2). 292–332. 40 indexed citations

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.

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