C.J. Brouckaert

730 total citations
35 papers, 561 citations indexed

About

C.J. Brouckaert is a scholar working on Water Science and Technology, Pollution and Civil and Structural Engineering. According to data from OpenAlex, C.J. Brouckaert has authored 35 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Water Science and Technology, 9 papers in Pollution and 8 papers in Civil and Structural Engineering. Recurrent topics in C.J. Brouckaert's work include Membrane Separation Technologies (9 papers), Water Systems and Optimization (8 papers) and Wastewater Treatment and Nitrogen Removal (8 papers). C.J. Brouckaert is often cited by papers focused on Membrane Separation Technologies (9 papers), Water Systems and Optimization (8 papers) and Wastewater Treatment and Nitrogen Removal (8 papers). C.J. Brouckaert collaborates with scholars based in South Africa, France and Australia. C.J. Brouckaert's co-authors include C.A. Buckley, Thokozani Majozi, K. M. Foxon, P. Grau, Peter A. Vanrolleghem, George A. Ekama, David Ikumi, E. Ayesa, Tamara Fernández-Arévalo and J. David Raal and has published in prestigious journals such as Water Research, Journal of Membrane Science and Journal of Environmental Management.

In The Last Decade

C.J. Brouckaert

32 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C.J. Brouckaert South Africa 12 277 156 132 121 98 35 561
P. Holubar Austria 12 127 0.5× 155 1.0× 135 1.0× 89 0.7× 60 0.6× 21 570
Michael Bongards Germany 11 356 1.3× 178 1.1× 92 0.7× 225 1.9× 83 0.8× 29 690
George Skouteris United Kingdom 10 454 1.6× 191 1.2× 204 1.5× 133 1.1× 37 0.4× 16 689
Dae Sung Lee South Korea 10 106 0.4× 198 1.3× 121 0.9× 143 1.2× 86 0.9× 13 585
Youn-Kyoo Choung South Korea 14 289 1.0× 168 1.1× 109 0.8× 119 1.0× 21 0.2× 25 622
Andrew Ward Australia 11 284 1.0× 123 0.8× 460 3.5× 171 1.4× 47 0.5× 19 1.0k
Mohammed Shadi S. Abujazar Palestinian Territory 13 417 1.5× 75 0.5× 144 1.1× 133 1.1× 47 0.5× 30 1.0k
Ruey-Fang Yu Taiwan 14 322 1.2× 84 0.5× 117 0.9× 202 1.7× 27 0.3× 29 567
Lorenza Meucci Italy 12 438 1.6× 169 1.1× 106 0.8× 271 2.2× 30 0.3× 18 736
Azizul Buang Malaysia 15 137 0.5× 44 0.3× 132 1.0× 66 0.5× 79 0.8× 34 790

Countries citing papers authored by C.J. Brouckaert

Since Specialization
Citations

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

Fields of papers citing papers by C.J. Brouckaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.J. Brouckaert. 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 C.J. Brouckaert. The network helps show where C.J. Brouckaert may publish in the future.

Co-authorship network of co-authors of C.J. Brouckaert

This figure shows the co-authorship network connecting the top 25 collaborators of C.J. Brouckaert. A scholar is included among the top collaborators of C.J. Brouckaert 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 C.J. Brouckaert. C.J. Brouckaert 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.
Cowieson, A.J., et al.. (2025). Broiler response to variable rates of inclusion of calcium and non-phytate phosphorus in feed. South African Journal of Animal Science. 54(5). 631–640. 1 indexed citations
2.
Fernández-Arévalo, Tamara, C.J. Brouckaert, Peter A. Vanrolleghem, et al.. (2015). A new general methodology for incorporating physico-chemical transformations into multi-phase wastewater treatment process models. Water Research. 74. 239–256. 66 indexed citations
3.
Latifi, M.A., et al.. (2014). Multi-objective optimisation of the operation of a water distribution network. Journal of Water Supply Research and Technology—AQUA. 64(3). 235–249.
4.
Latifi, M.A., et al.. (2013). Leak identification in a water distribution network using sparse flow measurements. Computers & Chemical Engineering. 66. 252–258. 10 indexed citations
5.
Brouckaert, C.J., et al.. (2012). Modelling of ionic interactions with wastewater treatment biomass. Water Science & Technology. 65(6). 1014–1020. 7 indexed citations
6.
Batstone, Damien J., Youri Amerlinck, George A. Ekama, et al.. (2012). Towards a generalized physicochemical framework. Water Science & Technology. 66(6). 1147–1161. 65 indexed citations
7.
Majozi, Thokozani, C.J. Brouckaert, & C.A. Buckley. (2005). A graphical technique for wastewater minimisation in batch processes. Journal of Environmental Management. 78(4). 317–329. 71 indexed citations
8.
Gregory, Michael A., et al.. (2003). The Mapping of Industrial Effluent on Coastal Sediments Using EDX. International Journal of Environmental & Analytical Chemistry. 83(1). 65–80. 1 indexed citations
9.
Lann, M.V. Le, et al.. (2002). Optimal operation of a potable water distribution network. Water Science & Technology. 46(9). 155–162. 15 indexed citations
10.
Foxon, K. M., C.J. Brouckaert, & A. Rozzi. (2002). Denitrifying activity measurements using an anoxic titration (pHstat) bioassay. Water Science & Technology. 46(9). 211–218. 9 indexed citations
11.
Brouckaert, C.J., et al.. (2002). Modelling and control of potable water chlorination. Water Science & Technology. 46(9). 103–108. 5 indexed citations
12.
Brouckaert, C.J., et al.. (2002). A computational fluid dynamic and experimental study of an ozone contactor. Water Science & Technology. 46(9). 87–93. 7 indexed citations
13.
Onyejekwe, Okey Oseloka, et al.. (1999). The use of computational fluid dynamics (CFD). Technique for evaluating the efficiency of an activated sludge reactor. Water Science & Technology. 39(10-11). 329–332. 9 indexed citations
14.
Brouckaert, C.J. & C.A. Buckley. (1999). The Use of Computational Fluid Dynamics for Improving the Design and Operation of Water and Wastewater Treatment Plants. Water Science & Technology. 40(4-5). 81–89. 20 indexed citations
15.
Loveday, B.K. & C.J. Brouckaert. (1995). An analysis of flotation circuit design principles. The Chemical Engineering Journal and the Biochemical Engineering Journal. 59(1). 15–21. 16 indexed citations
16.
Brouckaert, C.J., et al.. (1995). Modelling of nanofiltration applied to the recovery of salt from waste brine at a sugar decolourisation plant. Journal of Membrane Science. 102. 163–175. 43 indexed citations
17.
Brouckaert, C.J., et al.. (1994). Criteria for selecting the operating regime of the crossflow microfilter or the tubular filter press for clarification of turbid waters. Journal of Membrane Science. 87(1-2). 57–69. 2 indexed citations
18.
Jacobs, E.P., et al.. (1993). Membrane performance restoration. I. Abattoir process streams, cleaning regimes for UF membranes. Water SA. 19(2). 127–132. 5 indexed citations
19.
Raal, J. David & C.J. Brouckaert. (1992). Vapour-liquid and liquid-liquid equilibria in the system methyl butenol-water. Fluid Phase Equilibria. 74. 253–270. 15 indexed citations
20.
Brouckaert, C.J., et al.. (1988). The reuse of reactive dye liquors using charged ultrafiltration membrane technology. Desalination. 70(1-3). 157–167. 70 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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