I.K. Craig

2.8k total citations
174 papers, 2.1k citations indexed

About

I.K. Craig is a scholar working on Control and Systems Engineering, Mechanical Engineering and Water Science and Technology. According to data from OpenAlex, I.K. Craig has authored 174 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Control and Systems Engineering, 98 papers in Mechanical Engineering and 31 papers in Water Science and Technology. Recurrent topics in I.K. Craig's work include Advanced Control Systems Optimization (73 papers), Mineral Processing and Grinding (67 papers) and Fault Detection and Control Systems (65 papers). I.K. Craig is often cited by papers focused on Advanced Control Systems Optimization (73 papers), Mineral Processing and Grinding (67 papers) and Fault Detection and Control Systems (65 papers). I.K. Craig collaborates with scholars based in South Africa, United Kingdom and United States. I.K. Craig's co-authors include Margret Bauer, J.D. le Roux, Petrus Christiaan Pistorius, Laurentz E. Olivier, Donghui Wei, Xiaohua Xia, Eric C. Kerrigan, Bei Sun, James Bekker and Biao Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and IEEE Access.

In The Last Decade

I.K. Craig

158 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I.K. Craig South Africa 24 1.1k 1.1k 312 219 107 174 2.1k
Gabriele Pannocchia Italy 22 304 0.3× 2.0k 1.8× 15 0.0× 181 0.8× 273 2.6× 118 2.5k
João M. Lemos Portugal 23 128 0.1× 889 0.8× 32 0.1× 88 0.4× 160 1.5× 207 1.9k
Rajesh Kumar India 32 1.3k 1.1× 1.3k 1.1× 11 0.0× 309 1.4× 500 4.7× 103 2.7k
Ricardo Dunia United States 14 672 0.6× 1.4k 1.2× 15 0.0× 66 0.3× 52 0.5× 38 1.6k
Zhaohui Jiang China 22 545 0.5× 430 0.4× 62 0.2× 208 0.9× 83 0.8× 181 1.6k
J. Fraser Forbes Canada 26 250 0.2× 1.6k 1.4× 20 0.1× 97 0.4× 100 0.9× 111 2.2k
Mauro Venturini Italy 27 912 0.8× 516 0.5× 64 0.2× 353 1.6× 505 4.7× 171 2.5k
Fuqiang Liu China 20 323 0.3× 571 0.5× 9 0.0× 226 1.0× 73 0.7× 74 1.4k
Lúcia Valéria Ramos de Arruda Brazil 22 215 0.2× 603 0.5× 34 0.1× 246 1.1× 230 2.1× 151 1.4k

Countries citing papers authored by I.K. Craig

Since Specialization
Citations

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

Fields of papers citing papers by I.K. Craig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I.K. Craig

This figure shows the co-authorship network connecting the top 25 collaborators of I.K. Craig. A scholar is included among the top collaborators of I.K. Craig 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 I.K. Craig. I.K. Craig 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
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Roux, J.D. le, et al.. (2025). Bayesian optimization for automatic tuning of a MIMO controller of a flotation bank. Journal of Process Control. 147. 103388–103388.
3.
Roux, J.D. le, et al.. (2025). Reinforcement learning based automatic tuning of PID controllers in multivariable grinding mill circuits. Control Engineering Practice. 165. 106522–106522. 1 indexed citations
4.
Roux, J.D. le, et al.. (2024). Automatic Tuning of Level Controllers in a Flotation Bank using Bayesian Optimisation. IFAC-PapersOnLine. 58(25). 13–18. 1 indexed citations
5.
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Roux, J.D. le, et al.. (2024). State and parameter estimation of a dynamic froth flotation model using industrial data. Minerals Engineering. 219. 109059–109059.
7.
Roux, J.D. le, et al.. (2024). Non-linear Model Predictive Control to Improve the Mineralogical Efficiency of Flotation Circuits. IFAC-PapersOnLine. 58(22). 1–6. 1 indexed citations
8.
Sibiya, Malusi, et al.. (2024). Modelling of consumer dynamics to improve fuel gas blending control. IFAC-PapersOnLine. 58(25). 67–72.
9.
Roux, J.D. le, et al.. (2024). The Effect of Disturbances on Plant-Model Mismatch Detection using the Plant-Model Ratio: A Surge Tank Case Study. IFAC-PapersOnLine. 58(22). 24–29. 1 indexed citations
10.
Roux, J.D. le, et al.. (2023). Model-plant mismatch detection for a plant under Model Predictive Control: A grinding mill circuit case study. IFAC-PapersOnLine. 56(2). 11778–11783. 1 indexed citations
11.
Roux, J.D. le, et al.. (2022). On-line automatic controller tuning using Bayesian optimisation - a bulk tailings treatment plant case study. IFAC-PapersOnLine. 55(21). 126–131. 6 indexed citations
12.
Craig, I.K., et al.. (2022). Extremum Seeking Control of a Flotation Circuit using Peak Air Recovery. IFAC-PapersOnLine. 55(21). 61–66. 1 indexed citations
13.
Roux, J.D. le, et al.. (2022). Observable Dynamic Models of Reagent Effects for Model-based Froth Flotation Control*. IFAC-PapersOnLine. 55(21). 102–107. 1 indexed citations
14.
Olivier, Laurentz E., et al.. (2020). Optimized Lockdown Strategies for Curbing the Spread of COVID-19: A South African Case Study. IEEE Access. 8. 205755–205765. 16 indexed citations
15.
Sun, Bei, Chunhua Yang, Yalin Wang, et al.. (2019). A comprehensive hybrid first principles/machine learning modeling framework for complex industrial processes. Journal of Process Control. 86. 30–43. 76 indexed citations
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Craig, I.K.. (2012). Grinding mill modeling and control: Past, present and future. Chinese Control Conference. 16–21. 5 indexed citations
18.
Craig, I.K., et al.. (2003). Quality prediction in continuous casting of stainless steel slabs. Journal of the Southern African Institute of Mining and Metallurgy. 103(10). 651–665. 9 indexed citations
19.
Craig, I.K., et al.. (1999). An optimization procedure for the secondary cooling zone of a continuous billet caster. Journal of the Southern African Institute of Mining and Metallurgy. 99(1). 49–54. 13 indexed citations
20.
Craig, I.K., et al.. (1992). Error correcting codes: theory and applications. Prentice Hall eBooks. 19 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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