Shaun Galbraith

468 total citations
16 papers, 384 citations indexed

About

Shaun Galbraith is a scholar working on Computational Mechanics, Mechanical Engineering and Molecular Biology. According to data from OpenAlex, Shaun Galbraith has authored 16 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 6 papers in Mechanical Engineering and 4 papers in Molecular Biology. Recurrent topics in Shaun Galbraith's work include Granular flow and fluidized beds (6 papers), Mineral Processing and Grinding (5 papers) and Phosphorus and nutrient management (3 papers). Shaun Galbraith is often cited by papers focused on Granular flow and fluidized beds (6 papers), Mineral Processing and Grinding (5 papers) and Phosphorus and nutrient management (3 papers). Shaun Galbraith collaborates with scholars based in United States, Thailand and Australia. Shaun Galbraith's co-authors include P.A. Schneider, Seongkyu Yoon, Yanling Liu, Adrian E. Flood, Zhuangrong Huang, Seo‐Young Park, Sau Lee, Thomas O’Connor, Supagorn Rugmai and Joachim Ulrich and has published in prestigious journals such as Water Research, Chemical Engineering Journal and International Journal of Pharmaceutics.

In The Last Decade

Shaun Galbraith

16 papers receiving 375 citations

Peers

Shaun Galbraith

IME

Otto Scheibelhofer Austria

Sami Poutiainen Finland

Andy Ingram United Kingdom

Peter Hamilton United Kingdom

Ariel R. Muliadi United States

Н. Н. Кулов Russia

L.T. Fan United States

Daniel To United States

Bijay Kumar Sharma India

Stefanie Abel Switzerland

Otto Scheibelhofer Austria

Shaun Galbraith

66 ×0.6

43 ×0.5

40 ×0.5

75 ×1.0

8 ×0.1

IME

Citations per year, relative to Shaun Galbraith Shaun Galbraith (= 1×) peers Otto Scheibelhofer

Countries citing papers authored by Shaun Galbraith

Since Specialization

Citations

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

Fields of papers citing papers by Shaun Galbraith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaun Galbraith

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Ladiwala, Pranay, Yanglan Tan, Scott A. Shaffer, et al.. (2021). Identification of novel inhibitory metabolites and impact verification on growth and protein synthesis in mammalian cells. Metabolic Engineering Communications. 13. e00182–e00182. 18 indexed citations

Galbraith, Shaun, et al.. (2021). Characterization of Chinese hamster ovary cell culture feed media precipitate. Biotechnology Progress. 37(5). e3188–e3188. 8 indexed citations

Huang, Zhuangrong, Shaun Galbraith, Yanling Liu, et al.. (2020). Effects of process parameters on tablet critical quality attributes in continuous direct compression: a case study of integrating data-driven statistical models and mechanistic compaction models. Pharmaceutical Development and Technology. 25(10). 1204–1215. 5 indexed citations

Galbraith, Shaun, Zhuangrong Huang, Seo‐Young Park, et al.. (2019). Integrated modeling of a continuous direct compression tablet manufacturing process: A production scale case study. Powder Technology. 354. 199–210. 26 indexed citations

Galbraith, Shaun, Yanling Liu, Seo‐Young Park, et al.. (2019). A Thermodynamic Balance Model for Liquid Film Drying Kinetics of a Tablet Film Coating and Drying Process. AAPS PharmSciTech. 20(5). 209–209. 8 indexed citations

Galbraith, Shaun, Seo‐Young Park, Zhuangrong Huang, et al.. (2019). Linking process variables to residence time distribution in a hybrid flowsheet model for continuous direct compression. Process Safety and Environmental Protection. 153. 85–95. 29 indexed citations

Park, Seo‐Young, Shaun Galbraith, Yanling Liu, et al.. (2018). Prediction of critical quality attributes and optimization of continuous dry granulation process via flowsheet modeling and experimental validation. Powder Technology. 330. 461–470. 17 indexed citations

Galbraith, Shaun, et al.. (2018). Media formulation optimization: current and future opportunities. Current Opinion in Chemical Engineering. 22. 42–47. 40 indexed citations

Liu, Yanling, Shaun Galbraith, Seo‐Young Park, et al.. (2018). Assessment of spatial heterogeneity in continuous twin screw wet granulation process using three-compartmental population balance model. Pharmaceutical Development and Technology. 24(1). 105–117. 16 indexed citations

10.

Galbraith, Shaun, et al.. (2018). Modeling and simulation of continuous powder blending applied to a continuous direct compression process. Pharmaceutical Development and Technology. 23(10). 1097–1107. 21 indexed citations

11.

Liu, Yanling, et al.. (2017). Optimization of critical quality attributes in continuous twin-screw wet granulation via design space validated with pilot scale experimental data. International Journal of Pharmaceutics. 525(1). 249–263. 52 indexed citations

12.

Flood, Adrian E., et al.. (2015). Crystal Growth Rate Dispersion versus Size-Dependent Crystal Growth: Appropriate Modeling for Crystallization Processes. Crystal Growth & Design. 15(5). 2330–2336. 39 indexed citations

13.

Galbraith, Shaun, Adrian E. Flood, Supagorn Rugmai, & Prae Chirawatkul. (2015). Relationship between Surface Roughness, Internal Crystal Perfection, and Crystal Growth Rate. Chemical Engineering & Technology. 39(2). 199–207. 9 indexed citations

14.

Galbraith, Shaun, P.A. Schneider, & Adrian E. Flood. (2014). Model-driven experimental evaluation of struvite nucleation, growth and aggregation kinetics. Water Research. 56. 122–132. 45 indexed citations

15.

Galbraith, Shaun & P.A. Schneider. (2013). Modelling and simulation of inorganic precipitation with nucleation, crystal growth and aggregation: A new approach to an old method. Chemical Engineering Journal. 240. 124–132. 41 indexed citations

16.

Galbraith, Shaun & P.A. Schneider. (2009). A review of struvite nucleation studies. ResearchOnline at James Cook University (James Cook University). 10 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.

Explore authors with similar magnitude of impact