Sarah K. Spurgeon

9.4k total citations · 2 hit papers
324 papers, 7.0k citations indexed

About

Sarah K. Spurgeon is a scholar working on Control and Systems Engineering, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, Sarah K. Spurgeon has authored 324 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 268 papers in Control and Systems Engineering, 45 papers in Mechanical Engineering and 27 papers in Automotive Engineering. Recurrent topics in Sarah K. Spurgeon's work include Adaptive Control of Nonlinear Systems (189 papers), Stability and Control of Uncertain Systems (123 papers) and Advanced Control Systems Optimization (77 papers). Sarah K. Spurgeon is often cited by papers focused on Adaptive Control of Nonlinear Systems (189 papers), Stability and Control of Uncertain Systems (123 papers) and Advanced Control Systems Optimization (77 papers). Sarah K. Spurgeon collaborates with scholars based in United Kingdom, China and France. Sarah K. Spurgeon's co-authors include Christopher Edwards, Xing‐Gang Yan, Ron J. Patton, Christopher Edwards, Qingling Zhang, Thierry Floquet, Xiao‐Yun Lu, Emilia Fridman, Jinghao Li and X. Han and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Sarah K. Spurgeon

308 papers receiving 6.7k citations

Hit Papers

Sliding mode observers for fault detection and isolation 2000 2026 2008 2017 2000 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah K. Spurgeon United Kingdom 40 6.0k 807 784 547 471 324 7.0k
Luca Zaccarian Italy 39 4.9k 0.8× 491 0.6× 778 1.0× 618 1.1× 273 0.6× 275 5.8k
Carsten W. Scherer Netherlands 33 5.7k 0.9× 503 0.6× 413 0.5× 470 0.9× 396 0.8× 190 6.6k
Xuemei Ren China 35 3.5k 0.6× 1.0k 1.3× 561 0.7× 596 1.1× 290 0.6× 217 4.5k
Alessandro Pisano Italy 38 4.1k 0.7× 902 1.1× 803 1.0× 890 1.6× 366 0.8× 212 5.1k
Jing Zhou Norway 32 5.2k 0.9× 626 0.8× 1.7k 2.1× 415 0.8× 296 0.6× 148 6.1k
Shihong Ding China 44 5.1k 0.8× 874 1.1× 825 1.1× 1.1k 2.1× 783 1.7× 210 6.2k
M. Corless United States 32 4.3k 0.7× 697 0.9× 596 0.8× 261 0.5× 329 0.7× 162 5.4k
Tingshu Hu United States 34 5.0k 0.8× 315 0.4× 977 1.2× 654 1.2× 326 0.7× 132 6.0k
Jaime A. Moreno Mexico 36 6.6k 1.1× 799 1.0× 796 1.0× 1.2k 2.1× 387 0.8× 332 8.0k
Raymond A. DeCarlo United States 30 4.9k 0.8× 361 0.4× 707 0.9× 1.0k 1.9× 505 1.1× 131 6.3k

Countries citing papers authored by Sarah K. Spurgeon

Since Specialization
Citations

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

Fields of papers citing papers by Sarah K. Spurgeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah K. Spurgeon. 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 Sarah K. Spurgeon. The network helps show where Sarah K. Spurgeon may publish in the future.

Co-authorship network of co-authors of Sarah K. Spurgeon

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah K. Spurgeon. A scholar is included among the top collaborators of Sarah K. Spurgeon 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 Sarah K. Spurgeon. Sarah K. Spurgeon 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.
Zhao, Dongya, et al.. (2024). Model-free adaptive tensor product control for a class of nonlinear systems. Control Engineering Practice. 147. 105912–105912. 2 indexed citations
2.
Sadati, S. M. Hadi, et al.. (2023). Sim2Real Transfer of Reinforcement Learning for Concentric Tube Robots. IEEE Robotics and Automation Letters. 8(10). 6147–6154. 6 indexed citations
3.
Pandey, R., et al.. (2021). Role of subnetworks mediated by $$\hbox {TNF}\alpha$$, IL-23/IL-17 and IL-15 in a network involved in the pathogenesis of psoriasis. Scientific Reports. 11(1). 2204–2204. 11 indexed citations
4.
Zhao, Dongya, et al.. (2019). Output Feedback Sliding Mode Control for Continuous Stirred Tank Reactors. Kent Academic Repository (University of Kent). 1443–1448. 3 indexed citations
5.
Zhang, Qian, Sarah K. Spurgeon, Li Xu, & Dingli Yu. (2018). Computational Intelligence in Data-Driven Modelling and Its Engineering Applications. Mathematical Problems in Engineering. 2018. 1–2. 3 indexed citations
6.
Oza, Harshal B., et al.. (2016). Modelling and finite-time stability analysis of psoriasis pathogenesis. International Journal of Control. 90(8). 1664–1677. 12 indexed citations
7.
Howells, Gareth, et al.. (2012). Highly efficient localisation utilising weightless neural systems. Kent Academic Repository (University of Kent). 4 indexed citations
8.
Spurgeon, Sarah K., et al.. (2010). A sliding mode observer for estimating substrate consumption rate in a fermentation process. 17. 172–177. 3 indexed citations
9.
Yan, Xing‐Gang, et al.. (2009). Static output feedback sliding mode control for time‐varying delay systems with time‐delayed nonlinear disturbances. International Journal of Robust and Nonlinear Control. 20(7). 777–788. 51 indexed citations
10.
Herrmann, Guido, Sarah K. Spurgeon, & Christopher Edwards. (2008). Stability and performance recovery within discretized non-linear control systems. Automatica. 44(4). 1045–1054.
11.
Spurgeon, Sarah K., et al.. (2007). Wavelet cluster based envelope demodulation approach and its application to fault diagnosis. UCL Discovery (University College London). 1 indexed citations
12.
Yan, Xing‐Gang, Christopher Edwards, & Sarah K. Spurgeon. (2004). Output feedback sliding mode control for nonminimum phase systems with nonlinear disturbances. UCL Discovery (University College London). 3. 1951–1957. 2 indexed citations
13.
Edwards, Christopher, et al.. (2004). On discrete time output feedback min-max controllers. International Journal of Control. 77(6). 554–561. 10 indexed citations
14.
Monsees, G., Sarah K. Spurgeon, & Paul F. Puleston. (2000). Air fuel ratio control using sliding modes.. Systems Science. 26. 97–108. 1 indexed citations
15.
Spurgeon, Sarah K., et al.. (1998). A new sliding mode approach to asymptotic feedback linearisation with application to the control of non-flat systems. International Journal of Applied Mathematics and Computer Science. 8(1). 21–37.
16.
Spurgeon, Sarah K., et al.. (1997). Output feedback sliding mode designfor linear uncertainsystems. IEE Proceedings - Control Theory and Applications. 144(3). 209–216. 77 indexed citations
17.
Sira‐Ramírez, H. & Sarah K. Spurgeon. (1996). Robust Sliding Mode Control Using Measured Outputs. UCL Discovery (University College London). 15 indexed citations
18.
Spurgeon, Sarah K., et al.. (1996). Robust Switching Surface Design in Variable Structure Output Feedback Control. IFAC Proceedings Volumes. 29(1). 3490–3495. 1 indexed citations
19.
Spurgeon, Sarah K.. (1992). Hyperplane design techniques for discrete-time variable structure control systems. International Journal of Control. 55(2). 445–456. 136 indexed citations
20.
Spurgeon, Sarah K.. (1991). ON THE DEVELOPMENT OF DISCRETE-TIME SLIDING MODE CONTROL-SYSTEMS. UCL Discovery (University College London). 2 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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