George van Schoor

982 total citations
99 papers, 787 citations indexed

About

George van Schoor is a scholar working on Control and Systems Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, George van Schoor has authored 99 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Control and Systems Engineering, 39 papers in Mechanical Engineering and 34 papers in Electrical and Electronic Engineering. Recurrent topics in George van Schoor's work include Fault Detection and Control Systems (27 papers), Magnetic Bearings and Levitation Dynamics (20 papers) and Mineral Processing and Grinding (11 papers). George van Schoor is often cited by papers focused on Fault Detection and Control Systems (27 papers), Magnetic Bearings and Levitation Dynamics (20 papers) and Mineral Processing and Grinding (11 papers). George van Schoor collaborates with scholars based in South Africa, United States and India. George van Schoor's co-authors include Kenneth R. Uren, Dmitri Bessarabov, J.D. van Wyk, I.S. Shaw, Rupert Gouws, Johan van der Merwe, Lidia Auret, Michaël Antonie van Wyk, Jan C. Vosloo and Johan Rens and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and International Journal of Hydrogen Energy.

In The Last Decade

George van Schoor

94 papers receiving 751 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George van Schoor South Africa 16 400 384 238 129 100 99 787
Yuntao Ju China 13 798 2.0× 397 1.0× 79 0.3× 108 0.8× 92 0.9× 53 991
Abdul Basit Pakistan 17 817 2.0× 530 1.4× 93 0.4× 73 0.6× 65 0.7× 80 1.0k
Francesco Castelli Dezza Italy 18 749 1.9× 416 1.1× 156 0.7× 52 0.4× 238 2.4× 127 1.0k
Hexu Sun China 13 358 0.9× 181 0.5× 95 0.4× 128 1.0× 72 0.7× 47 616
Ehsan Hajipour Iran 12 621 1.6× 329 0.9× 75 0.3× 147 1.1× 43 0.4× 44 716
Olivier Deblecker Belgium 16 1.1k 2.7× 405 1.1× 100 0.4× 104 0.8× 220 2.2× 82 1.2k
Marco Mauri Italy 16 457 1.1× 244 0.6× 172 0.7× 44 0.3× 246 2.5× 85 839
E.R. Collins United States 20 1.3k 3.1× 616 1.6× 122 0.5× 242 1.9× 228 2.3× 78 1.5k
Junyong Wu China 18 1.2k 3.1× 613 1.6× 110 0.5× 259 2.0× 50 0.5× 84 1.4k
Md Rasel Sarkar Malaysia 11 377 0.9× 225 0.6× 44 0.2× 113 0.9× 104 1.0× 23 544

Countries citing papers authored by George van Schoor

Since Specialization
Citations

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

Fields of papers citing papers by George van Schoor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George van Schoor. 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 George van Schoor. The network helps show where George van Schoor may publish in the future.

Co-authorship network of co-authors of George van Schoor

This figure shows the co-authorship network connecting the top 25 collaborators of George van Schoor. A scholar is included among the top collaborators of George van Schoor 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 George van Schoor. George van Schoor 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.
Uren, Kenneth R., et al.. (2025). A complete and open Simulink model of the Tennessee Eastman process (COSTEP). SoftwareX. 31. 102217–102217. 1 indexed citations
2.
Schoor, George van, et al.. (2024). Spectral conditioning within the energy graph-based visualisation fault detection method. IFAC-PapersOnLine. 58(4). 330–335.
3.
Uren, Kenneth R., et al.. (2021). Performance impact of network conditions on an IIoT system. 1–6. 1 indexed citations
4.
Schoor, George van, et al.. (2020). Geometric-Dynamic Trajectory: A Quaternion Pythagorean Hodograph Curves Approach. Journal of Guidance Control and Dynamics. 44(2). 283–294. 4 indexed citations
5.
Vosloo, Jan C., et al.. (2020). Exergy-based fault detection on the Tennessee Eastman process. IFAC-PapersOnLine. 53(2). 13713–13720. 10 indexed citations
6.
Schoor, George van, et al.. (2018). Power management and sizing optimisation of renewable energy hydrogen production systems. Sustainable Energy Technologies and Assessments. 31. 155–166. 28 indexed citations
7.
Schoor, George van, et al.. (2016). Integrated procedure for vibration characterization of a magnetic bearing supported rotor delevitation system. Measurement. 85. 255–268. 5 indexed citations
8.
Schoor, George van, et al.. (2015). An Energy-based approach to condition monitoring of industrial processes. IFAC-PapersOnLine. 48(21). 772–777. 8 indexed citations
9.
Schoor, George van, et al.. (2015). Block RAM-based architecture for real-time reconfiguration using Xilinx® FPGAs. South African Computer Journal. 56. 5 indexed citations
10.
Schoor, George van, et al.. (2014). Active surface area approximation in a lead-acid cell for optimal performance in renewable energy systems. IFAC Proceedings Volumes. 47(3). 9450–9455. 1 indexed citations
11.
Schoor, George van, et al.. (2013). Equivalent electrical circuit modelling of a Proton Exchange Membrane electrolyser based on current interruption. Boloka Institutional Repository (North-west University). 716–721. 10 indexed citations
12.
Schoor, George van, et al.. (2013). A Self-Sensing Active Magnetic Bearing Based on a Direct Current Measurement Approach. Sensors. 13(9). 12149–12165. 17 indexed citations
13.
Merwe, Johan van der, Kenneth R. Uren, George van Schoor, & Dmitri Bessarabov. (2013). A study of the loss characteristics of a single cell PEM electrolyser for pure hydrogen production. Boloka Institutional Repository (North-west University). 668–672. 21 indexed citations
14.
Schoor, George van, et al.. (2011). Experimentelle und theoretische Untersuchungen zum Rotorabsturz in Wälzlager. 2 indexed citations
15.
Schoor, George van, et al.. (2011). LTI Modelling of Active Magnetic Bearings by Means of System Identification. SAIEE Africa Research Journal. 102(3). 66–75. 1 indexed citations
16.
Schoor, George van, et al.. (2011). Self-sensing for electromagnetic actuators. Part I: A coupled reluctance network model approach. Sensors and Actuators A Physical. 172(2). 400–409. 5 indexed citations
17.
Schoor, George van, et al.. (2011). Sizing of renewable energy hydrogen systems. Boloka Institutional Repository (North-west University). 13. 1–6. 3 indexed citations
18.
Schoor, George van, et al.. (2009). Enthalpy–entropy graph approach for the classification of faults in the main power system of a closed Brayton cycle HTGR. Annals of Nuclear Energy. 36(6). 703–711. 16 indexed citations
19.
Gouws, Rupert & George van Schoor. (2007). A comparative study on fault detection and correction techniques on active magnetic bearing systems. Boloka Institutional Repository (North-west University). 2. 1–10. 5 indexed citations
20.
Schoor, George van, J.D. van Wyk, & I.S. Shaw. (2001). Evaluation of the adaptive behaviour of an artificial neural network controller for a hybrid power compensator. European Transactions on Electrical Power. 11(6). 383–391. 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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