Anthony D. Stickland

1.5k total citations
64 papers, 1.2k citations indexed

About

Anthony D. Stickland is a scholar working on Water Science and Technology, Computational Mechanics and Fluid Flow and Transfer Processes. According to data from OpenAlex, Anthony D. Stickland has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Water Science and Technology, 15 papers in Computational Mechanics and 14 papers in Fluid Flow and Transfer Processes. Recurrent topics in Anthony D. Stickland's work include Coagulation and Flocculation Studies (20 papers), Rheology and Fluid Dynamics Studies (14 papers) and Granular flow and fluidized beds (13 papers). Anthony D. Stickland is often cited by papers focused on Coagulation and Flocculation Studies (20 papers), Rheology and Fluid Dynamics Studies (14 papers) and Granular flow and fluidized beds (13 papers). Anthony D. Stickland collaborates with scholars based in Australia, United Kingdom and Germany. Anthony D. Stickland's co-authors include Peter J. Scales, Shane P. Usher, Richard Buscall, David R. Dixon, Peter Hillis, Ross G. de Kretser, Kristian Kempe, Sally L. Gras, Md. Arifur Rahim and Frank Caruso and has published in prestigious journals such as Angewandte Chemie International Edition, The Science of The Total Environment and Water Research.

In The Last Decade

Anthony D. Stickland

59 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anthony D. Stickland Australia 18 450 207 158 155 149 64 1.2k
Leema A. Al-Makhadmeh Jordan 12 487 1.1× 124 0.6× 277 1.8× 432 2.8× 106 0.7× 19 1.3k
Kazuaki Yamagiwa Japan 18 342 0.8× 307 1.5× 241 1.5× 536 3.5× 59 0.4× 110 1.4k
Mehmet Polat Türkiye 16 469 1.0× 112 0.5× 329 2.1× 294 1.9× 138 0.9× 47 1.1k
A. Martin United Kingdom 16 396 0.9× 168 0.8× 155 1.0× 216 1.4× 35 0.2× 47 951
Qiang Yang China 21 353 0.8× 68 0.3× 272 1.7× 277 1.8× 35 0.2× 89 1.4k
Ching-Ju Monica Chin Taiwan 19 514 1.1× 159 0.8× 121 0.8× 284 1.8× 111 0.7× 31 1.2k
K. K. Wong Malaysia 10 517 1.1× 139 0.7× 268 1.7× 99 0.6× 28 0.2× 18 1.0k
Boya Xiong United States 16 367 0.8× 121 0.6× 235 1.5× 333 2.1× 50 0.3× 34 1.5k
S. Ripperger Germany 19 887 2.0× 74 0.4× 286 1.8× 701 4.5× 53 0.4× 104 1.7k
Lawrence K. Wang United States 17 554 1.2× 201 1.0× 219 1.4× 316 2.0× 24 0.2× 59 1.3k

Countries citing papers authored by Anthony D. Stickland

Since Specialization
Citations

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

Fields of papers citing papers by Anthony D. Stickland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony D. Stickland

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony D. Stickland. A scholar is included among the top collaborators of Anthony D. Stickland 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 Anthony D. Stickland. Anthony D. Stickland 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.
Hassan, Saad S. M., et al.. (2025). Quantifying the effect of ultra-fine particles on dewatering performance in bimodal suspensions. Powder Technology. 458. 120986–120986. 1 indexed citations
2.
Webster, Nathan A. S., A.M. Glenn, Elizaveta Forbes, et al.. (2025). Quantifying the platy morphology of gangue minerals with X-ray diffraction: A talc case study. Powder Technology. 460. 121081–121081.
3.
Stickland, Anthony D., et al.. (2025). PFAS removal through foam harvesting during wastewater aeration. Journal of Hazardous Materials. 491. 137936–137936. 3 indexed citations
5.
Scales, Peter J., et al.. (2025). High pressure dewatering rolls Mark-II: A novel dewatering technology for mineral tailings. Minerals Engineering. 232. 109552–109552.
6.
Moon, Ellen M., et al.. (2025). Improved suspension dewaterability using a novel pelleting flocculation device. Minerals Engineering. 235. 109762–109762.
7.
Stickland, Anthony D., et al.. (2024). The role of suspended biomass in PFAS enrichment in wastewater treatment foams. Water Research. 254. 121349–121349. 13 indexed citations
8.
Usher, Shane P., et al.. (2024). Numerical simulation of particle consolidation under compression and shear based on the Discrete Element method. Advanced Powder Technology. 35(12). 104722–104722. 2 indexed citations
9.
Usher, Shane P., Damien J. Batstone, Maazuza Othman, et al.. (2023). Impact of volatile solids destruction on the shear and solid-liquid separation behaviour of anaerobic digested sludge. The Science of The Total Environment. 894. 164546–164546. 4 indexed citations
10.
Usher, Shane P., Damien J. Batstone, Maazuza Othman, et al.. (2023). Impact of Extent of Digestion on the Shear and Solid-Liquid Separation Behaviour of Anaerobic Digested Sludge. SSRN Electronic Journal. 1 indexed citations
11.
Quezada, Gonzalo R., et al.. (2017). Viscoelastic behaviour of flocculated silica sediments in concentrated monovalent chloride salt solutions. Minerals Engineering. 110. 131–138. 15 indexed citations
12.
Rahim, Md. Arifur, Mattias Björnmalm, Tomoya Suma, et al.. (2016). Metal–Phenolic Supramolecular Gelation. Angewandte Chemie International Edition. 55(44). 13803–13807. 182 indexed citations
13.
Rahim, Md. Arifur, Mattias Björnmalm, Tomoya Suma, et al.. (2016). Metal–Phenolic Supramolecular Gelation. Angewandte Chemie. 128(44). 14007–14011. 28 indexed citations
14.
Martin, Gregory J.O., et al.. (2016). Computational models of populations of bacteria and lytic phage. Critical Reviews in Microbiology. 42(6). 942–968. 27 indexed citations
15.
Scales, Peter J., et al.. (2015). The use of image analysis to characterise activated sludge flocs. 350. 1 indexed citations
16.
Jeldres, Ricardo I., et al.. (2015). A non-linear viscoelastic model for sediments flocculated in the presence of seawater salts. Colloids and Surfaces A Physicochemical and Engineering Aspects. 482. 500–506. 15 indexed citations
17.
Stickland, Anthony D.. (2015). Compressional rheology: A tool for understanding compressibility effects in sludge dewatering. Water Research. 82. 37–46. 54 indexed citations
18.
Lester, Daniel, Richard Buscall, Anthony D. Stickland, & Peter J. Scales. (2014). Wall adhesion and constitutive modeling of strong colloidal gels. Journal of Rheology. 58(5). 1247–1276. 17 indexed citations
19.
Stickland, Anthony D., et al.. (2012). Viscoelasticity of coagulated alumina suspensions. Korea-Australia Rheology Journal. 24(2). 105–111. 17 indexed citations
20.
Stickland, Anthony D., et al.. (2008). Fundamental dewatering properties of wastewater treatment sludges from filtration and sedimentation testing. Chemical Engineering Science. 63(21). 5283–5290. 48 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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