Robin Preece

2.3k total citations
101 papers, 1.7k citations indexed

About

Robin Preece is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Robin Preece has authored 101 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Electrical and Electronic Engineering, 38 papers in Control and Systems Engineering and 32 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Robin Preece's work include Power System Optimization and Stability (57 papers), HVDC Systems and Fault Protection (42 papers) and Power System Reliability and Maintenance (32 papers). Robin Preece is often cited by papers focused on Power System Optimization and Stability (57 papers), HVDC Systems and Fault Protection (42 papers) and Power System Reliability and Maintenance (32 papers). Robin Preece collaborates with scholars based in United Kingdom, Australia and United States. Robin Preece's co-authors include Jovica V. Milanović, Kazi N. Hasan, Mike Barnes, Ognjen Marjanović, Rakibuzzaman Shah, Mathaios Panteli, A. Beddard, Ali Ehsan, José L. Rueda and Mart A. M. M. van der Meijden and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Power Systems and IEEE Access.

In The Last Decade

Robin Preece

92 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robin Preece United Kingdom 21 1.5k 685 406 91 83 101 1.7k
Nader Samaan United States 21 1.4k 0.9× 653 1.0× 459 1.1× 62 0.7× 72 0.9× 92 1.5k
Xiaofu Xiong China 22 1.2k 0.8× 613 0.9× 419 1.0× 90 1.0× 66 0.8× 101 1.5k
P. Varilone Italy 20 1.1k 0.7× 461 0.7× 331 0.8× 71 0.8× 30 0.4× 102 1.2k
P. Caramia Italy 22 1.4k 0.9× 494 0.7× 341 0.8× 74 0.8× 71 0.9× 119 1.6k
Alberto Berizzi Italy 23 1.6k 1.1× 882 1.3× 318 0.8× 24 0.3× 32 0.4× 151 1.8k
Diego Cirio Italy 17 743 0.5× 500 0.7× 354 0.9× 36 0.4× 182 2.2× 99 981
Mohammed Benidris United States 21 1.7k 1.1× 1.0k 1.5× 612 1.5× 89 1.0× 277 3.3× 177 2.0k
J.F.G. Cobben Netherlands 21 1.2k 0.8× 595 0.9× 140 0.3× 97 1.1× 70 0.8× 135 1.4k
Hassan Ghasemi Iran 22 2.1k 1.4× 1.0k 1.5× 255 0.6× 20 0.2× 50 0.6× 59 2.2k
Mingbo Liu China 22 1.8k 1.2× 906 1.3× 133 0.3× 25 0.3× 36 0.4× 194 2.0k

Countries citing papers authored by Robin Preece

Since Specialization
Citations

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

Fields of papers citing papers by Robin Preece

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin Preece

This figure shows the co-authorship network connecting the top 25 collaborators of Robin Preece. A scholar is included among the top collaborators of Robin Preece 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 Robin Preece. Robin Preece 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.
Preece, Robin, et al.. (2025). Impact of modeling assumptions on fragility curves for power grid resilience against extreme weather. Sustainable Energy Grids and Networks. 43. 101845–101845.
2.
3.
Wang, Shuai, et al.. (2025). Hardware measurement of MMC time delay and its impact on the stability of grid-connected MMC-HVDC systems. International Journal of Electrical Power & Energy Systems. 167. 110605–110605.
4.
Preece, Robin, et al.. (2023). Risk Assessment and Mitigation of Cascading Failures Using Critical Line Sensitivities. IEEE Transactions on Power Systems. 39(2). 3937–3948. 12 indexed citations
5.
Preece, Robin, et al.. (2023). A Framework for Analyzing System Loadability With Multiple VSCs Using a Hybrid Model. IEEE Transactions on Power Systems. 39(1). 1079–1094.
6.
Preece, Robin, et al.. (2022). Risk assessment of cascading failures in power systems with increasing wind penetration. Electric Power Systems Research. 211. 108392–108392. 17 indexed citations
7.
Preece, Robin, et al.. (2021). A machine learning approach for real‐time selection of preventive actions improving power network resilience. IET Generation Transmission & Distribution. 16(1). 181–192. 20 indexed citations
8.
Preece, Robin, et al.. (2021). Analyzing Controller and Device Interactions in Hybrid Transmission Networks with High Penetration of Renewable Energy – A Review. Research Explorer (The University of Manchester). 1–6. 1 indexed citations
9.
Preece, Robin, et al.. (2020). AC Cascading Failure Model for Resilience Analysis in Power Networks. IEEE Systems Journal. 16(1). 374–385. 46 indexed citations
10.
11.
Preece, Robin, et al.. (2019). Analysis of the variables influencing inter-area oscillations in the future Great Britain power system. Research Explorer (The University of Manchester). 72 (7 pp.)–72 (7 pp.). 2 indexed citations
12.
Shah, Rakibuzzaman, et al.. (2019). Techno‐economic evaluation of power electronics‐assisted transmission system frequency regulation. The Journal of Engineering. 2019(17). 4138–4142. 1 indexed citations
13.
Kopsidas, Konstantinos, et al.. (2017). INTEGRID — Impact of new grid codes on the local distribution network of nuclear power plants. Research Explorer (The University of Manchester). 1–5.
14.
Hasan, Kazi N., Robin Preece, & Jovica V. Milanović. (2017). Priority ranking of critical uncertainties affecting small-disturbance stability using sensitivity analysis techniques. 1–1. 3 indexed citations
15.
Hasan, Kazi N., Robin Preece, & Jovica V. Milanović. (2017). The Influence of Load on Risk-Based Small-Disturbance Security Profile of a Power System. IEEE Transactions on Power Systems. 33(1). 557–566. 29 indexed citations
16.
Shen, Li, et al.. (2015). The Effect of VSC-HVDC Control on ACSystem Electromechanical Oscillations and DC System Dynamics. IEEE Transactions on Power Delivery. 31(3). 1085–1095. 31 indexed citations
17.
Beddard, A., Mike Barnes, & Robin Preece. (2014). Comparison of Detailed Modeling Techniques for MMC Employed on VSC-HVDC Schemes. IEEE Transactions on Power Delivery. 30(2). 579–589. 97 indexed citations
18.
Preece, Robin & Jovica V. Milanović. (2014). Tuning of a Damping Controller for Multiterminal VSC-HVDC Grids Using the Probabilistic Collocation Method. IEEE Transactions on Power Delivery. 29(1). 318–326. 61 indexed citations
19.
Preece, Robin, et al.. (2012). Probabilistic Evaluation of Damping Controller in Networks With Multiple VSC-HVDC Lines. IEEE Transactions on Power Systems. 28(1). 367–376. 50 indexed citations
20.
Preece, Robin & Jovica V. Milanović. (2012). Power Oscillation Damping using VSC-based Multi-terminal HVDC Grids. IFAC Proceedings Volumes. 45(21). 20–25. 5 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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