Rua Murray

676 total citations
43 papers, 408 citations indexed

About

Rua Murray is a scholar working on Mathematical Physics, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Rua Murray has authored 43 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mathematical Physics, 9 papers in Nature and Landscape Conservation and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Rua Murray's work include Mathematical Dynamics and Fractals (11 papers), Ecology and Vegetation Dynamics Studies (9 papers) and Plant and animal studies (6 papers). Rua Murray is often cited by papers focused on Mathematical Dynamics and Fractals (11 papers), Ecology and Vegetation Dynamics Studies (9 papers) and Plant and animal studies (6 papers). Rua Murray collaborates with scholars based in New Zealand, Germany and Canada. Rua Murray's co-authors include William Godsoe, Michael J. Plank, Mohd Hafiz Mohd, Paul D. Docherty, Eric G. Rawson, Michaël Keane, Lai-Sang Young, Gary Froyland, Mirela Domijan and James Sneyd and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The American Naturalist.

In The Last Decade

Rua Murray

40 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rua Murray New Zealand	13	96	85	77	75	56	43	408
Guy Bunin Israel	14	171 1.8×	33 0.4×	220 2.9×	98 1.3×	32 0.6×	33	1.1k
A. B. Potapov Canada	11	86 0.9×	23 0.3×	22 0.3×	61 0.8×	23 0.4×	26	435
Javier Galeano Spain	14	52 0.5×	11 0.1×	158 2.1×	111 1.5×	21 0.4×	45	540
Daniel Franco Spain	18	74 0.8×	82 1.0×	22 0.3×	43 0.6×	18 0.3×	71	1.1k
C.S. Berger Australia	14	31 0.3×	18 0.2×	27 0.4×	53 0.7×	21 0.4×	60	786
Gaël Raoul France	11	33 0.3×	49 0.6×	25 0.3×	19 0.3×	21 0.4×	13	415
Pablo Padilla Mexico	11	23 0.2×	10 0.1×	44 0.6×	25 0.3×	35 0.6×	28	290
J. D. Howroyd United Kingdom	7	34 0.4×	164 1.9×	61 0.8×	219 2.9×	11 0.2×	8	703
Hayato Chiba Japan	13	121 1.3×	14 0.2×	15 0.2×	13 0.2×	10 0.2×	46	461
J.C. López-Marcos Spain	19	106 1.1×	170 2.0×	25 0.3×	71 0.9×	5 0.1×	58	1.1k

Countries citing papers authored by Rua Murray

Since Specialization

Citations

This map shows the geographic impact of Rua Murray'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 Rua Murray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rua Murray more than expected).

Fields of papers citing papers by Rua Murray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rua Murray. 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 Rua Murray. The network helps show where Rua Murray may publish in the future.

Co-authorship network of co-authors of Rua Murray

This figure shows the co-authorship network connecting the top 25 collaborators of Rua Murray. A scholar is included among the top collaborators of Rua Murray 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 Rua Murray. Rua Murray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Moyers-González, Miguel, et al.. (2025). A mathematically robust model of exotic pine invasions. Mathematical Biosciences. 386. 109456–109456.

Moyers-González, Miguel, et al.. (2024). Modelling the propagation of invasive tree species: A coupled differential equation approach. Mathematical Methods in the Applied Sciences. 47(7). 5692–5698. 3 indexed citations

Moyers-González, Miguel, et al.. (2024). Partial differential equation models for invasive species spread in the presence of spatial heterogeneity. PLoS ONE. 19(4). e0300968–e0300968. 1 indexed citations

Murray, Rua, et al.. (2024). Evolving Improved Sampling Protocols for Dose–Response Modelling Using Genetic Algorithms with a Profile-Likelihood Metric. Bulletin of Mathematical Biology. 86(6). 70–70. 1 indexed citations

Docherty, Paul D., et al.. (2024). Clustering polycystic ovary syndrome laboratory results extracted from a large internet forum with machine learning. Intelligence-Based Medicine. 9. 100135–100135.

Docherty, Paul D., Rua Murray, Sabine Krueger‐Ziolek, et al.. (2023). Sensor Selection for Tidal Volume Determination via Linear Regression—Impact of Lasso versus Ridge Regression. Sensors. 23(17). 7407–7407. 3 indexed citations

Docherty, Paul D., et al.. (2022). Practical identifiability of parametrised models: A review of benefits and limitations of various approaches. Mathematics and Computers in Simulation. 199. 202–216. 26 indexed citations

Murray, Rua, et al.. (2021). A Sequential Optimization-Simulation Approach for Planning the Transition to the Low Carbon Freight System with Case Study in the North Island of New Zealand. Energies. 14(11). 3339–3339. 8 indexed citations

Davidson, Shaun, Paul D. Docherty, & Rua Murray. (2017). The dimensional reduction method for identification of parameters that trade-off due to similar model roles. Mathematical Biosciences. 285. 119–127. 4 indexed citations

10.

Davidson, Shaun, et al.. (2017). The Novel Dimensional Reduction Method and Tikhonov Regularisation in Parameter Identification of Non-Linear Ill-Posed Problems. IFAC-PapersOnLine. 50(1). 5474–5479. 1 indexed citations

11.

Mohd, Mohd Hafiz, Rua Murray, Michael J. Plank, & William Godsoe. (2016). Effects of dispersal and stochasticity on the presence–absence of multiple species. Ecological Modelling. 342. 49–59. 27 indexed citations

12.

Froyland, Gary, et al.. (2014). Ulam's Method for Lasota--Yorke Maps with Holes. SIAM Journal on Applied Dynamical Systems. 13(2). 1010–1032. 5 indexed citations

13.

Godsoe, William, Rua Murray, & Michael J. Plank. (2014). Information on Biotic Interactions Improves Transferability of Distribution Models. The American Naturalist. 185(2). 281–290. 36 indexed citations

14.

Murray, Rua, et al.. (2013). Maximum Entropy Estimates for Risk-Neutral Probability Measures with Non-Strictly-Convex Data. Journal of Optimization Theory and Applications. 161(1). 285–307. 2 indexed citations

15.

Page, Shannon, et al.. (2012). Analysis of the truck trip generation characteristics of supermarkets and convenience stores. University of Canterbury Research Repository (University of Canterbury). 1 indexed citations

16.

Froyland, Gary, et al.. (2011). Spectral degeneracy and escape dynamics for intermittent maps with a hole. Nonlinearity. 24(9). 2435–2463. 9 indexed citations

17.

Froyland, Gary, et al.. (2007). Efficient computation of topological entropy, pressure, conformal measures, and equilibrium states in one dimension. Physical Review E. 76(3). 36702–36702. 13 indexed citations

18.

Murray, Rua, et al.. (2007). Duality and the Computation of Approximate Invariant Densities for Nonsingular Transformations. SIAM Journal on Optimization. 18(2). 691–709. 3 indexed citations

19.

Murray, Rua, et al.. (2006). Dynamical conditions for convergence of a maximum entropy method for Frobenius–Perron operator equations. Applied Mathematics and Computation. 182(1). 210–212. 3 indexed citations

20.

Murray, Rua. (2001). Existence, mixing and approximation of invariant densities for expanding maps on. Nonlinear Analysis. 45(1). 37–72. 11 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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