Ryan Loxton

2.6k total citations
90 papers, 2.0k citations indexed

About

Ryan Loxton is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Ryan Loxton has authored 90 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Control and Systems Engineering, 17 papers in Computational Theory and Mathematics and 15 papers in Numerical Analysis. Recurrent topics in Ryan Loxton's work include Advanced Control Systems Optimization (31 papers), Stability and Control of Uncertain Systems (18 papers) and Optimization and Variational Analysis (15 papers). Ryan Loxton is often cited by papers focused on Advanced Control Systems Optimization (31 papers), Stability and Control of Uncertain Systems (18 papers) and Optimization and Variational Analysis (15 papers). Ryan Loxton collaborates with scholars based in Australia, China and Malaysia. Ryan Loxton's co-authors include Kok Lay Teo, Qun Lin, Volker Rehbock, Yonghong Wu, Chongyang Liu, Chunhua Yang, Changjun Yu, Ka Fai Cedric Yiu, Chao Xu and Qinqin Chai and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and European Journal of Operational Research.

In The Last Decade

Ryan Loxton

83 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Loxton Australia 30 1.1k 356 333 275 259 90 2.0k
Johannes P. Schlöder Germany 22 1.6k 1.4× 282 0.8× 309 0.9× 222 0.8× 324 1.3× 43 2.6k
Volker Rehbock Australia 17 772 0.7× 323 0.9× 306 0.9× 229 0.8× 107 0.4× 63 1.4k
M. Kanat Camlibel Netherlands 31 1.9k 1.7× 277 0.8× 460 1.4× 116 0.4× 269 1.0× 160 3.0k
B. Kouvaritakis United Kingdom 43 5.5k 5.0× 271 0.8× 388 1.2× 271 1.0× 258 1.0× 239 6.2k
M. Montaz Ali South Africa 26 408 0.4× 372 1.0× 1.1k 3.3× 97 0.4× 53 0.2× 99 2.6k
C.J. Goh Australia 21 690 0.6× 276 0.8× 412 1.2× 368 1.3× 31 0.1× 71 1.8k
Matthias Gerdts Germany 19 573 0.5× 301 0.8× 277 0.8× 302 1.1× 25 0.1× 101 1.3k
Fabian Wirth Germany 26 2.4k 2.1× 250 0.7× 498 1.5× 49 0.2× 126 0.5× 150 3.3k
Petros G. Voulgaris United States 27 1.3k 1.2× 92 0.3× 235 0.7× 546 2.0× 39 0.2× 185 2.3k
Johannes Schumacher Netherlands 29 1.6k 1.4× 328 0.9× 661 2.0× 97 0.4× 105 0.4× 159 2.4k

Countries citing papers authored by Ryan Loxton

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Loxton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Loxton

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Loxton. A scholar is included among the top collaborators of Ryan Loxton 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 Ryan Loxton. Ryan Loxton 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.
Loxton, Ryan, et al.. (2025). Drill Pattern Optimisation for Large Complex Blasts to Improve Fragmentation and Dig Efficiency. Mathematical Geosciences. 57(3). 577–599. 1 indexed citations
2.
Loxton, Ryan, et al.. (2025). Coordinate Partitioning for Difficult Euclidean Max-Sum Diversity Problems. Operations Research. 73(6). 3311–3332.
3.
Yang, Yingying, et al.. (2023). Long-term maintenance optimization for integrated mining operations. Optimization and Engineering. 25(4). 1817–1848. 1 indexed citations
4.
Wang, Ke, et al.. (2016). Stabilization of a coupled second order ODE-wave system. eSpace (Curtin University). 1377–1382. 3 indexed citations
5.
Loxton, Ryan, et al.. (2016). A mixed-integer linear programming model for optimal vessel scheduling in offshore oil and gas operations. Journal of Industrial and Management Optimization. 13(4). 1601–1623. 1 indexed citations
6.
Loxton, Ryan, et al.. (2016). Chance-constrained optimization for pension fund portfolios in the presence of default risk. European Journal of Operational Research. 256(1). 205–214. 26 indexed citations
7.
Liu, Chongyang, Qun Lin, Ryan Loxton, & Kok Lay Teo. (2015). On combining neighbouring extremals with control parameterization. eSpace (Curtin University). 2422–2427.
8.
Loxton, Ryan, Qun Lin, & Kok Lay Teo. (2014). Switching time optimization for nonlinear switched systems: Direct optimization and the time-scaling transformation. eSpace (Curtin University). 10(3). 537–560. 30 indexed citations
9.
Lin, Qun, Ryan Loxton, Kok Lay Teo, Yonghong Wu, & Changjun Yu. (2013). A new exact penalty method for semi-infinite programming problems. Journal of Computational and Applied Mathematics. 261. 271–286. 51 indexed citations
10.
Lin, Qun, Ryan Loxton, & Kok Lay Teo. (2013). The control parameterization method for nonlinear optimal control: A survey. Journal of Industrial and Management Optimization. 10(1). 275–309. 197 indexed citations
11.
Chai, Qinqin, Ryan Loxton, Kok Lay Teo, & Chunhua Yang. (2013). A unified parameter identification method for nonlinear time-delay systems. Journal of Industrial and Management Optimization. 9(2). 471–486. 46 indexed citations
12.
Jiang, Canghua, Kok Lay Teo, Ryan Loxton, & Guang‐Ren Duan. (2012). A neighboring extremal solution for optimal switched impulsive control problems with large perturbations. International journal of innovative computing, information & control. 8(9). 6235–6257. 6 indexed citations
13.
Duan, Guang‐Ren, Ryan Loxton, Kok Lay Teo, & Canghua Jiang. (2012). A neighboring extremal solution for an optimal switched impulsive control problem. Journal of Industrial and Management Optimization. 8(3). 591–609. 26 indexed citations
14.
Loxton, Ryan, Qun Lin, Volker Rehbock, & Kok Lay Teo. (2012). Control parameterization for optimal control problems with continuous inequality constraints: New convergence results. Numerical Algebra Control and Optimization. 2(3). 571–599. 49 indexed citations
15.
Lin, Qun, Ryan Loxton, Kok Lay Teo, & Yonghong Wu. (2011). A New Computational Method for a Class of Free Terminal Time Optimal Control Problems. eSpace (Curtin University). 7(1). 63–81. 33 indexed citations
16.
Rehbock, Volker, et al.. (2010). Global Optimization Method for Continuous-Time Sensor Scheduling. Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia). 10(2). 175–188. 11 indexed citations
17.
Xu, Honglei, et al.. (2009). An impulsive stabilizing control of a new chaotic system. Dynamic Systems and Applications. 18. 241–250. 2 indexed citations
18.
Wang, Ling Yun, Wei Gui, Kok Lay Teo, Ryan Loxton, & Chunhua Yang. (2009). Time delayed optimal control problems with multiple characteristic time points: Computation and industrial applications. Journal of Industrial and Management Optimization. 5(4). 705–718. 40 indexed citations
19.
Lin, Qun, Yonghong Wu, & Ryan Loxton. (2008). On the Cauchy problem for a generalized Boussinesq equation. Journal of Mathematical Analysis and Applications. 353(1). 186–195. 31 indexed citations
20.
Farhadinia, Bahram, Kok Lay Teo, & Ryan Loxton. (2008). A computational method for a class of non-standard time optimal control problems involving multiple time horizons. Mathematical and Computer Modelling. 49(7-8). 1682–1691. 8 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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