D.W. Moolman

725 total citations
19 papers, 606 citations indexed

About

D.W. Moolman is a scholar working on Mechanical Engineering, Water Science and Technology and Artificial Intelligence. According to data from OpenAlex, D.W. Moolman has authored 19 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 16 papers in Water Science and Technology and 6 papers in Artificial Intelligence. Recurrent topics in D.W. Moolman's work include Mineral Processing and Grinding (16 papers), Minerals Flotation and Separation Techniques (16 papers) and Neural Networks and Applications (4 papers). D.W. Moolman is often cited by papers focused on Mineral Processing and Grinding (16 papers), Minerals Flotation and Separation Techniques (16 papers) and Neural Networks and Applications (4 papers). D.W. Moolman collaborates with scholars based in South Africa, Australia and Netherlands. D.W. Moolman's co-authors include Chris Aldrich, J.S.J. van Deventer, J.J. Eksteen, D. Bradshaw, M.C. Harris, Charl P. Botha, L. Lorenzen, Chris Goodall, Markus A. Reuter and Andy Fourie and has published in prestigious journals such as Chemical Engineering Science, Computers & Chemical Engineering and Hydrometallurgy.

In The Last Decade

D.W. Moolman

19 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.W. Moolman South Africa 11 487 480 127 97 74 19 606
Bodil Recke Denmark 6 48 0.1× 145 0.3× 43 0.3× 34 0.4× 252 3.4× 13 380
Jørgen Knudsen Denmark 4 48 0.1× 134 0.3× 39 0.3× 34 0.4× 234 3.2× 9 357
Zhiyao Luo China 6 66 0.1× 41 0.1× 45 0.4× 9 0.1× 27 0.4× 10 281
Shiming Xu China 12 53 0.1× 146 0.3× 94 0.7× 3 0.0× 25 0.3× 46 378
Xiaotian Bi China 7 97 0.2× 164 0.3× 72 0.6× 6 0.1× 198 2.7× 8 352
Lingfang Sun China 10 31 0.1× 60 0.1× 46 0.4× 7 0.1× 108 1.5× 66 306
Lijie Zhao China 9 33 0.1× 202 0.4× 20 0.2× 25 0.3× 227 3.1× 36 376
Yueling Wang China 10 46 0.1× 50 0.1× 32 0.3× 5 0.1× 212 2.9× 29 344
Fábio Gonçalves Jota Brazil 11 35 0.1× 48 0.1× 19 0.1× 10 0.1× 177 2.4× 32 403

Countries citing papers authored by D.W. Moolman

Since Specialization
Citations

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

Fields of papers citing papers by D.W. Moolman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.W. Moolman. 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 D.W. Moolman. The network helps show where D.W. Moolman may publish in the future.

Co-authorship network of co-authors of D.W. Moolman

This figure shows the co-authorship network connecting the top 25 collaborators of D.W. Moolman. A scholar is included among the top collaborators of D.W. Moolman 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 D.W. Moolman. D.W. Moolman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Deventer, J.S.J. van, Chris Aldrich, & D.W. Moolman. (2002). The tracking of changes in chemical processes using computer vision and self-organizing maps. 6. 3068–3073. 1 indexed citations
2.
Botha, Charl P., et al.. (1999). A practical system for real-time on-plant flotation froth visual parameter extraction. 103–106 vol.1. 7 indexed citations
3.
Reuter, Markus A., et al.. (1998). Generic Metallurgical Quality Control Methodology for Furnaces on the Basis of Thermodynamics and Dynamic System Identification Techniques. IFAC Proceedings Volumes. 31(23). 363–368. 1 indexed citations
4.
Aldrich, Chris, et al.. (1997). Machine learning strategies for control of flotation plants. Control Engineering Practice. 5(2). 263–269. 27 indexed citations
5.
Reuter, Markus A., et al.. (1997). The use of dimensionless numbers to characterise the feed to metallurgical reactors. Minerals Engineering. 10(1). 69–80. 1 indexed citations
6.
Aldrich, Chris, et al.. (1997). Relationship between surface froth features and process conditions in the batch flotation of a sulphide ore. Minerals Engineering. 10(11). 1207–1218. 35 indexed citations
7.
Deventer, J.S.J. van, et al.. (1997). The identification of perturbations in a base metal flotation plant using computer vision of the froth surface. Minerals Engineering. 10(10). 1057–1073. 10 indexed citations
8.
Moolman, D.W., et al.. (1996). The interrelationship between surface froth characteristics and industrial flotation performance. Minerals Engineering. 9(8). 837–854. 74 indexed citations
9.
Deventer, J.S.J. van, D.W. Moolman, & Chris Aldrich. (1996). Visualisation of plant disturbances using self-organising maps. Computers & Chemical Engineering. 20. S1095–S1100. 18 indexed citations
10.
Moolman, D.W., et al.. (1996). Neural net based knowledge extraction from the historical data of an industrial leaching process. Hydrometallurgy. 43(1-3). 95–116. 3 indexed citations
11.
Moolman, D.W., J.J. Eksteen, Chris Aldrich, & J.S.J. van Deventer. (1996). The significance of flotation froth appearance for machine vision control. International Journal of Mineral Processing. 48(3-4). 135–158. 94 indexed citations
12.
Aldrich, Chris, D.W. Moolman, & J.S.J. van Deventer. (1995). Monitoring and control of hydrometallurgical processes with self-organizing and adaptive neural net systems. Computers & Chemical Engineering. 19. 803–808. 2 indexed citations
13.
Aldrich, Chris, D.W. Moolman, J.J. Eksteen, & J.S.J. van Deventer. (1995). CHARACTERIZATION OF FLOTATION PROCESSES WITH SELF-ORGANIZING NEURAL NETS. Chemical Engineering Communications. 139(1). 25–39. 23 indexed citations
14.
Moolman, D.W., Chris Aldrich, J.S.J. van Deventer, et al.. (1995). On-Line Image Analysis to Improve Industrial Flotation Plant Performance. IFAC Proceedings Volumes. 28(17). 431–437. 3 indexed citations
15.
Moolman, D.W., Chris Aldrich, J.S.J. van Deventer, & D. Bradshaw. (1995). The interpretation of flotation froth surfaces by using digital image analysis and neural networks. Chemical Engineering Science. 50(22). 3501–3513. 111 indexed citations
16.
Aldrich, Chris, et al.. (1995). Machine Learning Strategies for Control of Flotation Plants. IFAC Proceedings Volumes. 28(17). 99–105. 2 indexed citations
17.
Moolman, D.W., Chris Aldrich, & J.S.J. van Deventer. (1995). The monitoring of froth surfaces on industrial flotation plants using connectionist image processing techniques. Minerals Engineering. 8(1-2). 23–30. 36 indexed citations
18.
Moolman, D.W., et al.. (1995). The classification of froth structures in a copper flotation plant by means of a neural net. International Journal of Mineral Processing. 43(3-4). 193–208. 65 indexed citations
19.
Moolman, D.W., et al.. (1994). Digital image processing as a tool for on-line monitoring of froth in flotation plants. Minerals Engineering. 7(9). 1149–1164. 93 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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