Chris Aldrich

7.4k total citations
244 papers, 5.6k citations indexed

About

Chris Aldrich is a scholar working on Mechanical Engineering, Water Science and Technology and Control and Systems Engineering. According to data from OpenAlex, Chris Aldrich has authored 244 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Mechanical Engineering, 85 papers in Water Science and Technology and 66 papers in Control and Systems Engineering. Recurrent topics in Chris Aldrich's work include Mineral Processing and Grinding (105 papers), Minerals Flotation and Separation Techniques (75 papers) and Fault Detection and Control Systems (53 papers). Chris Aldrich is often cited by papers focused on Mineral Processing and Grinding (105 papers), Minerals Flotation and Separation Techniques (75 papers) and Fault Detection and Control Systems (53 papers). Chris Aldrich collaborates with scholars based in South Africa, Australia and United States. Chris Aldrich's co-authors include D. Feng, Lidia Auret, J.S.J. van Deventer, D.W. Moolman, L. Lorenzen, Benkun Qi, J.J. Eksteen, Hua Tan, Yifeng Fu and Dongdong Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Bioresource Technology.

In The Last Decade

Chris Aldrich

235 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Aldrich South Africa 40 2.7k 2.5k 1.1k 689 592 244 5.6k
Saeed Chehreh Chelgani Sweden 39 2.6k 0.9× 1.8k 0.7× 1.4k 1.2× 233 0.3× 216 0.4× 160 4.5k
Ingmar Nopens Belgium 49 1.0k 0.4× 3.9k 1.6× 1.8k 1.6× 647 0.9× 137 0.2× 350 8.1k
ChangKyoo Yoo South Korea 50 3.3k 1.2× 1.5k 0.6× 1.0k 0.9× 3.9k 5.7× 563 1.0× 387 10.9k
B. V. Babu India 31 1.0k 0.4× 874 0.4× 1.7k 1.6× 689 1.0× 739 1.2× 78 4.7k
Brent R. Young New Zealand 44 1.3k 0.5× 835 0.3× 1.4k 1.2× 780 1.1× 125 0.2× 279 6.8k
Bhavik R. Bakshi United States 43 1.1k 0.4× 463 0.2× 533 0.5× 2.1k 3.1× 573 1.0× 200 7.1k
Karel J. Keesman Netherlands 37 485 0.2× 1.9k 0.8× 1.0k 0.9× 640 0.9× 127 0.2× 234 5.4k
Ning Li China 32 933 0.3× 1.1k 0.4× 792 0.7× 360 0.5× 87 0.1× 311 4.7k
Kim Choon Ng Singapore 64 8.7k 3.2× 3.3k 1.3× 2.5k 2.3× 276 0.4× 245 0.4× 348 14.3k
J.J. Cilliers United Kingdom 37 1.9k 0.7× 2.5k 1.0× 1.4k 1.3× 217 0.3× 87 0.1× 158 4.4k

Countries citing papers authored by Chris Aldrich

Since Specialization
Citations

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

Fields of papers citing papers by Chris Aldrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Aldrich

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Aldrich. A scholar is included among the top collaborators of Chris Aldrich 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 Chris Aldrich. Chris Aldrich 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.
Aldrich, Chris, et al.. (2025). A Machine Learning Classification Approach to Geotechnical Characterization Using Measure-While-Drilling Data. Geosciences. 15(3). 93–93. 2 indexed citations
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Chen, Lei, et al.. (2025). Roping Prediction Versus Detection: Could Prediction Be Possible?. Minerals. 15(2). 110–110.
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Goldstein, David P., et al.. (2024). Enhancing Orebody Knowledge using Measure-While-Drilling Data: A Machine Learning Approach. IFAC-PapersOnLine. 58(22). 72–76. 3 indexed citations
8.
Chen, Lei, et al.. (2024). Online mass-flow-rate measurement of high-intensity gas-conveyed particle flow for dry mineral processing. Powder Technology. 448. 120329–120329.
9.
Liu, Xiu & Chris Aldrich. (2022). A k-Shot Learning Approach to Recognition of Flotation Froth Conditions with Convolutional Neural Networks. IFAC-PapersOnLine. 55(21). 97–101. 7 indexed citations
10.
Olivier, Jacques, Chris Aldrich, & Xiu Liu. (2022). Explaining Convolutional Neural Network Predictions of Particle Size in the Underflow of a Hydrocyclone. IFAC-PapersOnLine. 55(21). 19–24. 8 indexed citations
11.
Aldrich, Chris, et al.. (2019). Extraction of Gold and Copper from a Gold Ore Thiosulfate Leachate by Use of Functionalized Magnetic Nanoparticles. Mineral Processing and Extractive Metallurgy Review. 41(5). 311–322. 14 indexed citations
12.
Feng, Chong, Chris Aldrich, J.J. Eksteen, & Damien W. M. Arrigan. (2017). Removal of arsenic from gold processing circuits by use of novel magnetic nanoparticles. Canadian Metallurgical Quarterly. 57(4). 399–404. 5 indexed citations
13.
Aldrich, Chris, et al.. (2012). Robust Block-Matching Motion Estimation of Flotation Froth Using Mutual Information. The International Journal of Sport and Society. 6(5). 380–388. 2 indexed citations
14.
Akdogan, G., et al.. (2011). CFD Modelling of Global Mixing Parameters in a Peirce-Smith Converter with Comparison to Physical Modelling. Chemical Product and Process Modeling. 6(1). 13 indexed citations
15.
Aldrich, Chris, et al.. (2010). The estimation of platinum flotation grade from froth image features by using artificial neural networks.. eSpace (Curtin University). 111(2). 81–85. 13 indexed citations
16.
Lorenzen, L., et al.. (2009). Activated alumina-based adsorption and recovery of excess fluoride ions subsequent to calcium and magnesium removal in base metal leach circuits. eSpace (Curtin University). 109(8). 447–453. 7 indexed citations
17.
Musee, Ndeke, L. Lorenzen, & Chris Aldrich. (2007). New methodology for hazardous waste classification using fuzzy set theory. Journal of Hazardous Materials. 154(1-3). 1040–1051. 33 indexed citations
18.
Aldrich, Chris, et al.. (2004). Identification of nonlinearities in dynamic process systems. Journal of the Southern African Institute of Mining and Metallurgy. 104(3). 191–200. 4 indexed citations
19.
Aldrich, Chris, et al.. (2003). Non-linear system identification of an autocatalytic reactor using least squares support vector machines. Journal of the Southern African Institute of Mining and Metallurgy. 103(2). 119–125. 4 indexed citations
20.
Aldrich, Chris. (2000). What is AI and is it better than classical process control. South African Journal of Chemical Engineering. 12(2). 27–49. 1 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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